SlideShare uma empresa Scribd logo
1 de 16
Building Blocks of the Enterprise Data Hub
Eli Collins, Chief Technologist

1

©2014 Cloudera, Inc. All rights reserved.
The Enterprise Data Warehouse
Reporting

Operational
Store

Metadata

Operational
Store

Staging

Mining

Facts &
Dimensions

Summary

Analysis

Flat Files

Data Sources

2

EDW

©2014 Cloudera, Inc. All rights reserved.

Data Marts
The Enterprise Data Hub

MR, SQL, Spark, SAS, R, Search..

DB dumps

Logs
Images

3

1.
2.
3.
4.

Binar
y

©2014 Cloudera, Inc. All rights reserved.

Inexpensive storage
File system & KV storage
Co-located compute
Separate compute &
storage
So it’s Like a Data Warehouse?

4

©2014 Cloudera, Inc. All rights reserved.
An Analogy

5

©2014 Cloudera, Inc. All rights reserved.
What changed?
• The need?
• Convenience?

6

Cost?

©2014 Cloudera, Inc. All rights reserved.
Take and share good photos

7
Data Warehouse vs. Data Hub
Enterprise Data Warehouse

8

Enterprise Data Hub

©2014 Cloudera, Inc. All Rights Reserved.
An Operating System
App 1

App 2

App 3

File System
9

©2014 Cloudera, Inc. All Rights Reserved.

Services

Scheduler

Management

Lib
The Enterprise Data Hub

Search
Engine

Batch
Stream
Processing Processing

Machine
Learning

Resource Management

For Any Type of Data
Elastic, Fault-tolerant, Self-healing, In-memory capabilities

SQL

10

Streaming

File System (NFS)

©2014 Cloudera, Inc. All Rights Reserved.

Data
Management

Unified Scale-out Storage

System
Management

Analytic
MPP
DBMS

Metadata, Security, Audit, Lineage

Online
NoSQL
DBMS
11

©2014 Cloudera, Inc. All rights reserved.
12

©2014 Cloudera, Inc. All rights reserved.
13

©2014 Cloudera, Inc. All rights reserved.
14

©2014 Cloudera, Inc. All rights reserved.
Data Warehouse on the Data Hub
Connectors

MPP Query execution

ODBC/J
DBC

Impala
HBase/Accum
ulo

HDFS
Storage & formats

15

LLAMa

YARN
Resource Management

©2014 Cloudera, Inc. All Rights Reserved.

Hive
Metastore

Parquet, Avro,
Text, etc

UDFs
MadLib

Catalog
16

©2014 Cloudera, Inc. All rights reserved.

Mais conteúdo relacionado

Mais procurados

Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...
Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...
Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...Cloudera, Inc.
 
MapR Enterprise Data Hub Webinar w/ Mike Ferguson
MapR Enterprise Data Hub Webinar w/ Mike FergusonMapR Enterprise Data Hub Webinar w/ Mike Ferguson
MapR Enterprise Data Hub Webinar w/ Mike FergusonMapR Technologies
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
 
Breakout: Data Discovery with Hadoop
Breakout: Data Discovery with HadoopBreakout: Data Discovery with Hadoop
Breakout: Data Discovery with HadoopCloudera, Inc.
 
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformHow to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
 
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud World
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud WorldPart 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud World
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud WorldCloudera, Inc.
 
Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18Cloudera, Inc.
 
Customer Best Practices: Optimizing Cloudera on AWS
Customer Best Practices: Optimizing Cloudera on AWSCustomer Best Practices: Optimizing Cloudera on AWS
Customer Best Practices: Optimizing Cloudera on AWSCloudera, Inc.
 
Part 1: Introducing the Cloudera Data Science Workbench
Part 1: Introducing the Cloudera Data Science WorkbenchPart 1: Introducing the Cloudera Data Science Workbench
Part 1: Introducing the Cloudera Data Science WorkbenchCloudera, Inc.
 
The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)Cloudera, Inc.
 
Rethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data HubRethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data HubCloudera, Inc.
 
A beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopA beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopDavid Yahalom
 
Intuitive Real-Time Analytics with Search
Intuitive Real-Time Analytics with SearchIntuitive Real-Time Analytics with Search
Intuitive Real-Time Analytics with SearchCloudera, Inc.
 
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...DataWorks Summit
 
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
 
Driving Better Products with Customer Intelligence

Driving Better Products with Customer Intelligence
Driving Better Products with Customer Intelligence

Driving Better Products with Customer Intelligence
Cloudera, Inc.
 
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...DataStax on Azure: Deploying an industry-leading data platform for cloud apps...
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...DataStax
 
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...Cloudera, Inc.
 
Case study: Hadoop as ELT for Leading US Retailer - Happiest Minds
Case study: Hadoop as ELT for Leading US Retailer - Happiest MindsCase study: Hadoop as ELT for Leading US Retailer - Happiest Minds
Case study: Hadoop as ELT for Leading US Retailer - Happiest MindsHappiest Minds Technologies
 
Hadoop Essentials -- The What, Why and How to Meet Agency Objectives
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesHadoop Essentials -- The What, Why and How to Meet Agency Objectives
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesCloudera, Inc.
 

Mais procurados (20)

Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...
Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...
Optimized Data Management with Cloudera 5.7: Understanding data value with Cl...
 
MapR Enterprise Data Hub Webinar w/ Mike Ferguson
MapR Enterprise Data Hub Webinar w/ Mike FergusonMapR Enterprise Data Hub Webinar w/ Mike Ferguson
MapR Enterprise Data Hub Webinar w/ Mike Ferguson
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8
 
Breakout: Data Discovery with Hadoop
Breakout: Data Discovery with HadoopBreakout: Data Discovery with Hadoop
Breakout: Data Discovery with Hadoop
 
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformHow to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
 
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud World
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud WorldPart 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud World
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud World
 
Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18
 
Customer Best Practices: Optimizing Cloudera on AWS
Customer Best Practices: Optimizing Cloudera on AWSCustomer Best Practices: Optimizing Cloudera on AWS
Customer Best Practices: Optimizing Cloudera on AWS
 
Part 1: Introducing the Cloudera Data Science Workbench
Part 1: Introducing the Cloudera Data Science WorkbenchPart 1: Introducing the Cloudera Data Science Workbench
Part 1: Introducing the Cloudera Data Science Workbench
 
The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)
 
Rethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data HubRethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data Hub
 
A beginners guide to Cloudera Hadoop
A beginners guide to Cloudera HadoopA beginners guide to Cloudera Hadoop
A beginners guide to Cloudera Hadoop
 
Intuitive Real-Time Analytics with Search
Intuitive Real-Time Analytics with SearchIntuitive Real-Time Analytics with Search
Intuitive Real-Time Analytics with Search
 
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...
It Takes a Village: Organizational Alignment to Deliver Big Data Value in Hea...
 
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
 
Driving Better Products with Customer Intelligence

Driving Better Products with Customer Intelligence
Driving Better Products with Customer Intelligence

Driving Better Products with Customer Intelligence

 
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...DataStax on Azure: Deploying an industry-leading data platform for cloud apps...
DataStax on Azure: Deploying an industry-leading data platform for cloud apps...
 
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...
 
Case study: Hadoop as ELT for Leading US Retailer - Happiest Minds
Case study: Hadoop as ELT for Leading US Retailer - Happiest MindsCase study: Hadoop as ELT for Leading US Retailer - Happiest Minds
Case study: Hadoop as ELT for Leading US Retailer - Happiest Minds
 
Hadoop Essentials -- The What, Why and How to Meet Agency Objectives
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesHadoop Essentials -- The What, Why and How to Meet Agency Objectives
Hadoop Essentials -- The What, Why and How to Meet Agency Objectives
 

Destaque

Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...
Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...
Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...Global Business Events
 
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...MapR Technologies
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondCloudera, Inc.
 
The Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubThe Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubCloudera, Inc.
 
Apache HBase in the Enterprise Data Hub at Cerner
Apache HBase in the Enterprise Data Hub at CernerApache HBase in the Enterprise Data Hub at Cerner
Apache HBase in the Enterprise Data Hub at CernerHBaseCon
 
Big Data Testing: Ensuring MongoDB Data Quality
Big Data Testing: Ensuring MongoDB Data QualityBig Data Testing: Ensuring MongoDB Data Quality
Big Data Testing: Ensuring MongoDB Data QualityRTTS
 
Testing Big Data: Automated Testing of Hadoop with QuerySurge
Testing Big Data: Automated  Testing of Hadoop with QuerySurgeTesting Big Data: Automated  Testing of Hadoop with QuerySurge
Testing Big Data: Automated Testing of Hadoop with QuerySurgeRTTS
 

Destaque (7)

Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...
Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...
Justin Sheppard & Ankur Gupta from Sears Holdings Corporation - Single point ...
 
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...
Data on the Move: Transitioning from a Legacy Architecture to a Big Data Plat...
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
 
The Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubThe Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data Hub
 
Apache HBase in the Enterprise Data Hub at Cerner
Apache HBase in the Enterprise Data Hub at CernerApache HBase in the Enterprise Data Hub at Cerner
Apache HBase in the Enterprise Data Hub at Cerner
 
Big Data Testing: Ensuring MongoDB Data Quality
Big Data Testing: Ensuring MongoDB Data QualityBig Data Testing: Ensuring MongoDB Data Quality
Big Data Testing: Ensuring MongoDB Data Quality
 
Testing Big Data: Automated Testing of Hadoop with QuerySurge
Testing Big Data: Automated  Testing of Hadoop with QuerySurgeTesting Big Data: Automated  Testing of Hadoop with QuerySurge
Testing Big Data: Automated Testing of Hadoop with QuerySurge
 

Semelhante a Cloudera Federal Forum 2014: The Building Blocks of the Enterprise Data Hub

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSteven Totman
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightCloudera, Inc.
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightPrecisely
 
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...jdijcks
 
Simplifying Real-Time Architectures for IoT with Apache Kudu
Simplifying Real-Time Architectures for IoT with Apache KuduSimplifying Real-Time Architectures for IoT with Apache Kudu
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
 
Oracle Big Data Appliance and Big Data SQL for advanced analytics
Oracle Big Data Appliance and Big Data SQL for advanced analyticsOracle Big Data Appliance and Big Data SQL for advanced analytics
Oracle Big Data Appliance and Big Data SQL for advanced analyticsjdijcks
 
Hadoop and Manufacturing
Hadoop and ManufacturingHadoop and Manufacturing
Hadoop and ManufacturingCloudera, Inc.
 
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...Cloudera, Inc.
 
Breakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreBreakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreCloudera, Inc.
 
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...Matt Stubbs
 
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...EMC
 
Google take on heterogeneous data base replication
Google take on heterogeneous data base replication Google take on heterogeneous data base replication
Google take on heterogeneous data base replication Svetlin Stanchev
 
Making Hadoop based analytics simple for everyone to use
Making Hadoop based analytics simple for everyone to useMaking Hadoop based analytics simple for everyone to use
Making Hadoop based analytics simple for everyone to useSwiss Big Data User Group
 
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data Hub
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data HubCloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data Hub
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data HubCloudera, Inc.
 
Idera live 2021: Managing Digital Transformation on a Budget by Bert Scalzo
Idera live 2021:  Managing Digital Transformation on a Budget by Bert ScalzoIdera live 2021:  Managing Digital Transformation on a Budget by Bert Scalzo
Idera live 2021: Managing Digital Transformation on a Budget by Bert ScalzoIDERA Software
 
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platform
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platformPivotal deep dive_on_pivotal_hd_world_class_hdfs_platform
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platformEMC
 
Enterprise asset management analytics
Enterprise asset management analyticsEnterprise asset management analytics
Enterprise asset management analyticsNitai Partners Inc
 

Semelhante a Cloudera Federal Forum 2014: The Building Blocks of the Enterprise Data Hub (20)

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
 
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...
 
Simplifying Real-Time Architectures for IoT with Apache Kudu
Simplifying Real-Time Architectures for IoT with Apache KuduSimplifying Real-Time Architectures for IoT with Apache Kudu
Simplifying Real-Time Architectures for IoT with Apache Kudu
 
Oracle Big Data Appliance and Big Data SQL for advanced analytics
Oracle Big Data Appliance and Big Data SQL for advanced analyticsOracle Big Data Appliance and Big Data SQL for advanced analytics
Oracle Big Data Appliance and Big Data SQL for advanced analytics
 
Hadoop and Manufacturing
Hadoop and ManufacturingHadoop and Manufacturing
Hadoop and Manufacturing
 
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...
Part 2: Apache Kudu: Extending the Capabilities of Operational and Analytic D...
 
Breakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data StoreBreakout: Hadoop and the Operational Data Store
Breakout: Hadoop and the Operational Data Store
 
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA – FLEXIBLE CLOUD, WHATEVER TH...
 
Supply chain analytics
Supply chain analyticsSupply chain analytics
Supply chain analytics
 
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...
 
Google take on heterogeneous data base replication
Google take on heterogeneous data base replication Google take on heterogeneous data base replication
Google take on heterogeneous data base replication
 
Big Data: Myths and Realities
Big Data: Myths and RealitiesBig Data: Myths and Realities
Big Data: Myths and Realities
 
Making Hadoop based analytics simple for everyone to use
Making Hadoop based analytics simple for everyone to useMaking Hadoop based analytics simple for everyone to use
Making Hadoop based analytics simple for everyone to use
 
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data Hub
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data HubCloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data Hub
Cloudera Federal Forum 2014: Cloud Deployment for the Enterprise Data Hub
 
Hr and performance analytics
Hr and performance analyticsHr and performance analytics
Hr and performance analytics
 
Idera live 2021: Managing Digital Transformation on a Budget by Bert Scalzo
Idera live 2021:  Managing Digital Transformation on a Budget by Bert ScalzoIdera live 2021:  Managing Digital Transformation on a Budget by Bert Scalzo
Idera live 2021: Managing Digital Transformation on a Budget by Bert Scalzo
 
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platform
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platformPivotal deep dive_on_pivotal_hd_world_class_hdfs_platform
Pivotal deep dive_on_pivotal_hd_world_class_hdfs_platform
 
Enterprise asset management analytics
Enterprise asset management analyticsEnterprise asset management analytics
Enterprise asset management analytics
 

Mais de Cloudera, Inc.

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxCloudera, Inc.
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Cloudera, Inc.
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Cloudera, Inc.
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
 

Mais de Cloudera, Inc. (20)

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptx
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18
 

Último

Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.francesco barbera
 
Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?SANGHEE SHIN
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceMartin Humpolec
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdfJamie (Taka) Wang
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
RAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIRAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIUdaiappa Ramachandran
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 

Último (20)

Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.
 
Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your Salesforce
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
RAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIRAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AI
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 

Cloudera Federal Forum 2014: The Building Blocks of the Enterprise Data Hub

  • 1. Building Blocks of the Enterprise Data Hub Eli Collins, Chief Technologist 1 ©2014 Cloudera, Inc. All rights reserved.
  • 2. The Enterprise Data Warehouse Reporting Operational Store Metadata Operational Store Staging Mining Facts & Dimensions Summary Analysis Flat Files Data Sources 2 EDW ©2014 Cloudera, Inc. All rights reserved. Data Marts
  • 3. The Enterprise Data Hub MR, SQL, Spark, SAS, R, Search.. DB dumps Logs Images 3 1. 2. 3. 4. Binar y ©2014 Cloudera, Inc. All rights reserved. Inexpensive storage File system & KV storage Co-located compute Separate compute & storage
  • 4. So it’s Like a Data Warehouse? 4 ©2014 Cloudera, Inc. All rights reserved.
  • 5. An Analogy 5 ©2014 Cloudera, Inc. All rights reserved.
  • 6. What changed? • The need? • Convenience? 6 Cost? ©2014 Cloudera, Inc. All rights reserved.
  • 7. Take and share good photos 7
  • 8. Data Warehouse vs. Data Hub Enterprise Data Warehouse 8 Enterprise Data Hub ©2014 Cloudera, Inc. All Rights Reserved.
  • 9. An Operating System App 1 App 2 App 3 File System 9 ©2014 Cloudera, Inc. All Rights Reserved. Services Scheduler Management Lib
  • 10. The Enterprise Data Hub Search Engine Batch Stream Processing Processing Machine Learning Resource Management For Any Type of Data Elastic, Fault-tolerant, Self-healing, In-memory capabilities SQL 10 Streaming File System (NFS) ©2014 Cloudera, Inc. All Rights Reserved. Data Management Unified Scale-out Storage System Management Analytic MPP DBMS Metadata, Security, Audit, Lineage Online NoSQL DBMS
  • 11. 11 ©2014 Cloudera, Inc. All rights reserved.
  • 12. 12 ©2014 Cloudera, Inc. All rights reserved.
  • 13. 13 ©2014 Cloudera, Inc. All rights reserved.
  • 14. 14 ©2014 Cloudera, Inc. All rights reserved.
  • 15. Data Warehouse on the Data Hub Connectors MPP Query execution ODBC/J DBC Impala HBase/Accum ulo HDFS Storage & formats 15 LLAMa YARN Resource Management ©2014 Cloudera, Inc. All Rights Reserved. Hive Metastore Parquet, Avro, Text, etc UDFs MadLib Catalog
  • 16. 16 ©2014 Cloudera, Inc. All rights reserved.