Meet up roadmap cloudera 2020 - janeiro

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MeetUp
ROADMAP CLOUDERA 2020
What is coming in the new Cloudera data platform

© 2020 Cloudera, Inc. All rights reserved. 2
Thiago Santiago
Solution Engineering
linkedin.com/in/thiagosantiago/
thiago@cloudera.com

● Why are we here today?
● CDP Cloud
● CDP Data Center
● CDF for CDP
● CML for CDP
● Data Driven Journey and Use Cases
Agenda

Why are you here now?
You could be...
...Netflix?...Soap opera? ...Soccer?

...Make 2020 your BigData Year!

Why do you want BigData?

$138,918$122,306
BigData Salaries?
https://www.indeed.com/salaries/Big-Data-Salaries
BigData ArchitectData Scientist
*per year
$137,054
Data Warehouse
Architect
$113,222
Senior Software
Engineer

Technology Trends?
Artificial
Intelligence
Internet of Things Cloud Computing Streaming Data
Industrial Internet
Connected Business
Consumer Devices
Smart Devices
Autonomy
Prescriptive Analytics
SaaS/PaaS Applications
Ephemeral Use Cases
Operational Efficiency
Collaboration
Real-time Applications
Targeted Retail
Recommendations
Industrial Applications
Shifting the Data Paradigm

Security
The Way BigData is Changing the world
Big data is being heavily used by law enforcement, particularly by national
organisations such NSA. These organisations have access to vast amounts of
data which they use to catch criminals, foil terrorist plots .
Surveillance video from currently deployed Border Patrol assets such as fixed
and mobile towers, imaging unattended ground sensors (UGS), and unmanned
air systems (drones)
Analytical techniques applied to detect anomalies and/or trends leading to
actionable intelligence
Machine learning used to help with predictive and proactive deployment of
resources

Decline in
Corruption
Better monitoring of assets through foolproof big data analytics will help
governments to track economies and facilitate a better allocation among
everyone in the society. This also tackles the problems with unwieldy
bureaucracy, misinformation and other types of obstacles to transparent
economics.

Environmental
Health
Increased carbon emission, greenhouse gasses, global warming and other
climate changes can be better monitored and fought with the help of Big Data.
The easiest example lies in wearable devices connected through internet
providing awareness and means to stand against local environmental
challenges.

Fighting Poverty
By taking data from developing nations, non-profit organizations are able to find
areas where people can benefit the most from having access to better
education, financial services, developed infrastructure, and health services.
Having this information on hand can aid in efforts to get help for areas that are
struck by natural disasters or health catastrophes. Big data may also help
developing nations fight government corruption, which can cause extreme
levels of poverty and impede relief efforts.
Similarly, access to large amounts of information from various sources can also
help organizations identify and react better to health epidemics, natural
disasters (earthquakes, cyclones, etc.) and agricultural related trends (drought,
famine, etc)."

HealthCare
Big data analytics is accelerating the speed at which researches can work, for
example DNA strings can now be decoded in minutes which can lead to the
faster creation of cures and the ability to predict disease patterns.
Big data is being used to monitor premature and sick babies in some specialist
units, with the techniques allowing the doctors to analyse every heart beat and
breathing patterns. This leads to the development of algorithms which now
allow for the prediction of infections 24 hours before any physical symptoms
occur.

Science
CERN with the Large Hadron Collider producing astronomical amounts of data
designed to unlock the secrets of the universe. The processing power is
necessary to be able to analyse the 30 petabytes of data that the Hadron
Collider produces annually.
Big data is also aiding with space exploration – the Square Kilometre Array
generates 700 terabytes of data a second.
NASA Exchange Platform will help to manage the data. The technology which
can detect radar on a planet 50 light years away could eventually help to
discover life on another planet.

We Believe  
data can make what was impossible  
yesterday, possible today.

© Cloudera, Inc. All rights reserved.19
THE ENTERPRISE DATA CLOUD COMPANY
We believe that data
can make what was
impossible yesterday,
possible today
We empower people  
to transform complex
data into clear and
actionable insights
We deliver an  
enterprise data cloud
for any data, anywhere,
from the Edge to AI

SNAPSHOT OF THE “NEW” CLOUDERA
85Countries Customers
3,000+Employees
2,000+

LEADING IN TOP INDUSTRIES
8/10
TOP 
GLOBAL
10/10
TOP  
GLOBAL
9/10
TOP  
GLOBAL
40+
GOVERNMENT
CUSTOMERS
BANKING TELCO PHARMAPUBLIC
8/10
TOP  
GLOBAL
TECHNOLOGY
10/10
TOP  
GLOBAL
AUTOMOTIVE

WORLD-CLASS TRAINING, SERVICES & SUPPORT
Fastest route from  
zero to production
PROFESSIONAL SERVICES
SCP-certified support  
anywhere in the world
CLOUDERA SUPPORT
3 top big data  
certifications
CLOUDERA UNIVERSITY

ENTERPRISE
DATA CLOUD
ARCHITECTURE
•Multi-function analytics
•Hybrid and multi-cloud
•Secure and governed
•Open platform
IOT, INGEST &
STREAMING
DATA  
WAREHOUSING
SECURITY & GOVERNANCE
ML / AI
DATA SCIENCE
PUBLIC CLOUDS  
compute & storage
DATACENTER 
compute & storage

Any Cloud Multi-Function OpenSecure & Governed
THE ENTERPRISE DATA CLOUD COMPANY

CLOUDERA  
DATA PLATFORM
• Public, private & hybrid clouds
• Shared data experience
• Powered by open source
• Analytics from the Edge to AI
• Unified data control plane
Analytic
experiences
Data Flow &
Streaming
Data  
Engineering
Data  
Warehouse
Operational
Database
Machine
Learning
Identity | Orchestration | Management | OperationsControl 
plane
Management 
Console
Data Hub & Cloudera Runtime
Any
Infrastructure
Edge Public
Multi-Cloud
Hybrid
Cloud
Private
Cloud
Catalog | Schema | Migration | Security | GovernanceData  
anywhere

CLOUDERA DATA PLATFORM - FORM FACTORS
Data Center, Public cloud, Private cloud, hybrid
Control plane
DW
MLODDEDF
SDX – security, governance & metadata
Edge to AI
CDP – Public Cloud
Storage ComputePublic
Multi-Cloud
Control plane
DW
MLODDEDF
Edge to AI
CDP – Private Cloud
Datacenter
Storage
Container  
Cloud
Private
DW
DS/ 
ML
DF OpDBDE
Control plane
CDP – Data Center
Storage &
Compute
Control plane

CDP Data Center
EDH
Cloudera
Enterprise
Data Hub
The Most Comprehensive Data Analytics Platform
+ + New Features = CDP Data Center

Environment
• 1 Template
• 1 Region
• 1 VPC
• Multiple Roles/Buckets
KEY CONCEPTS & COMPONENTS
1:1
ENVIRONMENTS
Data Lake
• SDX: Atlas, Ranger, Knox, IdBroker,
CM
• Associated with groups/users
Data Hub Clusters / Experiences
• DH templates
• ML Env
• DW Database Catalogs/Virtual
Compute
1:N

KEY CONCEPTS & COMPONENTS
Typical user flow
Enterprise IT CDP Control Plane Enterprise Cloud Resources (IAM, Network, VMs, Buckets, etc.)
Management Console
1
Step 1
User connects to
CDP with their
enterprise identity
Step 2
They create an
environment and data
lake for their enterprise
2
Environment
Step 3
They create data hub
clusters for traditional
workloads
Data Lake
Atlas
Ranger
Knox
IdBroker
FreeIPA
CM
HMS
3
BI Team Cluster ETL Team Cluster
4
Node 1 Node 2 Node 3
Step 4
They create access points
for containerized analytic
experiences
Node 1 Node 2 Node 3
Data Warehouse Experience Machine Learning Experience

CONSISTENT SECURITY AND GOVERNANCE
Built for multi-functional analytics anywhere
• Data Catalog: a comprehensive catalog of all data sets, spanning on-
premises, cloud object stores, structured, unstructured, and semi-
structured
• Schema: automatic capture and storage of any and all schema and
metadata definitions as they are used and created by platform workloads
• Replication: deliver data as well as data policies there where the
enterprise needs to work, with complete consistency and security
• Security: role-based access control applied consistently across the
platform. Includes full stack encryption and key management
• Governance: enterprise-grade auditing, lineage, and governance
capabilities applied across the platform with rich extensibility for partner
integrations

CDP HOME
A single login to access the full
platform, documentation, and
support - all controlled through
corporate SSO

A single pane of glass to manage
100s of clusters all with different
lifecycles - across multiple
environments
MANAGEMENT
CONSOLE

DATA LAKE
What is a Data Lake?
A common set of Services (SDX)
within an Environment that are
shared across multiple Clusters/
Experiences.
These include Services for:
• Security
• Auditing
• Governance
• Data Discovery

DATA HUB CLUSTERS AND EXPERIENCES
What are the consumption options?
A Data Hub Cluster is a
customizable environment that runs
like a traditional Hadoop cluster, but
is designed to leverage Cloud
Storage.
An Experience is a container-based
compute environment for specific
purposes:
ML, DW, DE, OD, DF

DATA
HUB
A familiar and highly customizable
cluster service optimized for the
separation of storage and compute

DATA
WAREHOUSE
A data warehousing service
optimized for concurrency,
caching, and isolation

DATA
CATALOG
A centralized data stewardship tool
for searching, organizing, securing,
and governing data across
environments

WORKLOAD
MANAGER
A centralized management tool for
analyzing and optimizing
workloads within and across
environments

REPLICATION
MANAGER
A centralized management tool for
replicating and migrating data,
metadata, and policies between
environments

A machine learning workspace
service to connect teams of data
scientists to enterprise data
MACHINE
LEARNING

Tour
CDP Public Cloud
https://console.cdp.cloudera.com/#/

New Features for everyone...
New features for CDH 6 customers
Ranger 2.0
• Dynamic row filtering & column masking
• Attribute-based access control
• SparkSQL fine-grained access control
Atlas 2.0
• Advanced data discovery
• Improved performance and scalability
Hive 3
• Hive-on-Tez for better ETL performance
• ACID transactions
Ozone
(Preview)
• 10x scalability of HDFS
Knox • Gateway-based SSO
Druid
• Low-latency DataMart for real-time and
aggregate data
Spark on
Docker
• Simplified dependency management
New features for HDP 3 customers
Cloudera
Manager
• Virtual private clusters
• Automated wire encryption setup
• Fine-grained RBAC for administrators
• Streamlined maintenance workflows
Atlas 2.0
• Advanced data lineage
• Faceted search
Solr 7
• Relevance-based text search over
unstructured data (text, pdf, .jpg, ...)
Impala
• Better fit for Data Mart migration use cases
(interactive, BI style queries)
Hue • Built-in SQL editor
Kudu
• Better performance for fast changing /
updateable data
Better at-rest
Encryption
• Key Trustee Server, NavEncrypt

What’s in the box?
CDP Data Center 7.0 (2H 2019) Coming soon...
• Cloudera Manager 7.0
• Hadoop 3.1
• Spark 2.4
• Hive 3.1
• Impala 3.2
• Oozie 5.1
• Hue 4.3
• Ranger 2.0
• Atlas 2.0
• Solr 7.4
• Tez 0.9
• HBase 2.2
• Phoenix 5.0
• Kudu 1.11
• Sqoop 1.4.7
• Parquet 1.10
• Avro 1.8
• ORC 1.5
• Zookeeper 3.5
• Kafka 2.3
• Key Trustee Server
• Ozone (Tech Preview)
• LLAP
• Livy
• Druid
• Ranger KMS
• Key HSM
• Navigator Encrypt
• Zeppelin
• Knox
• Accumulo

Foundation for Containerized Applications
Latest
upstream
features
Best of CDH
and HDP
features
CDH 5 / HDP 2
Cluster
Existing Apps
Existing Data
Existing Hardware
Upgrade
CDH 6 / HDP 3
Cluster
Existing Apps
Existing Data
Existing Hardware
CDP Data Center
Cluster
Existing Apps
SDX
Storage
CDP Private Cloud
Management Console
Container Cloud
Data Hub
DW, ML,
more
Upgrade
Direct Upgrade
CDP Data Center provides the stateful elements for new wave of containerized applications
• Storage
• Table Schema
• Authentication & Authorization
• Governance
Plan your path to CDP-DC now, expand to new experiences in this year

Ranger Authorization
• Standard CDP authorization model across services
○ Replaces Sentry
• Better fine-grained access controls
○ Dynamic Row Filtering
○ Dynamic Column Masking
○ Attribute-based Access Control
○ SparkSQL fine-grained access control
• Rich policy features
○ Allow/Deny constructs, Custom policy conditions/context enrichers, time bound policies,
Atlas integration (for tag based policies)
• Extensive Access Auditing with rich event metadata

New in Ranger
• Ranger AuthZ for Impala, HMS, Solr (doc level), Ozone (TP)
• Security Zones
• RBAC in Ranger
New for both Cloudera and Hortonworks customers

Apache Ranger - Impala Support
● Single policy store for Hive
and Impala to enable
consistent policy authoring
● Independent AuthZ plugin to
enforce policies locally
● Resource and tag based
policies supported
● Masking/Row filtering on
roadmap for Impala

Apache Ranger - Security Zones
● Resource Isolation
(especially for multi-
tenancy)
● Policy administration
isolation
● Cross-service logical
grouping

Apache Ranger - Roles

Apache Ranger Roadmap
• Authz Integration with more services
○ Kudu, Nifi Registry, Schema Registry etc
• Incremental policy/tag downloads
• Ranger audit extensions
• REST based Authz server
• RangerKMS-KeyTrustee integration
• Row filtering capability extension (to Hbase etc)
• Ranger authz for Ranger
• Supporting multiple versions of plugins

Apache Atlas
• Metadata catalog & search
• Lineage & chain of custody
• Business glossary
• Metadata audits & security

Apache Atlas: Overview
• A catalog for metadata of enterprise assets
• Large number of integrations to gather metadata and lineage

Apache Atlas: Overview (cont..)
• Rich, dynamic type-system makes it easy to onboard new components
• APIs to define types: entity, classification, struct, relationship, enum

Apache Atlas: Metadata - Hive Column

Apache Atlas: lineage - Hive Table
● Propagation of Tags
● Filter and search
● Export Lineage

Apache Atlas: Search

Apache Atlas
What’s New in CDP-DC?
• Impala and HMS new hooks
• Spark-Atlas connector
• Lineage Improvements
• Runtime Stats
• Optimized Search
• Improvements to address Navigator metadata import

HIVE 3 FOR DATA WAREHOUSING IN CDP-DC - OVERVIEW
• Comprehensive ANSI SQL 2016 coverage
• Use Cases: Pre-built reports, more efficient SQL constructs, BI tool compatibility
• Capabilities: Implements 120/163 SQL 2016 mandatory features and > 70 optional features
Runs all 99 TPC-DS queries without modifications
Additional SQL friendly capabilities e.g. surrogate keys, information_schema, …
• ACID Support: Transactions and INSERT/UPDATE/DELETE/MERGE
• Use Cases: Delete individual rows (GDPR), data cleansing/correction, merge for CDC data, ...
• Capabilities: SQL 2011 compliant, transactional (snapshot isolation), set based insert/update/delete
Managed tables (ACID default) on ORC; External tables (non-ACID) on ORC/Parquet

IMPALA AND KUDU FOR DATA WAREHOUSING IN CDP-DC
• Apache Impala: Leading MPP SQL Engine for DW - optimized for Parquet/Kudu
• Ideal for: Data Mart Implementations that require Interactive/Ad-hoc BI
• 1000+ enterprise customers - many running on 10s of PBs and 100s of nodes
• Certified with leading BI tools with broad SQL coverage
• Latest release adds improvements for resiliency, concurrency, and metadata
• Apache Kudu: Leading columnar storage engine for fast analytics on fast data
• Ideal for: Low latency time series data ingest and analytics (with Impala SQL engine)
• Strength of fast ingest with single rows like HBASE and allows large scans like HDFS
• ACID (insert/update/delete) semantics with single rows

HUE FOR DATA WAREHOUSING IN CDP-DC
• Apache Hue: Leading SQL Workbench for Ad-hoc BI
• Ideal for: Ad-hoc queries/exploration on Data Marts/HDFS files using Impala and/or HIVE
• Very high adoption rate across hadoop landscapes with thousands of active users
• Key features:
• SQL editor - autocomplete, query history, query plans
• File browser - Object Stores (S3, ADLS), HDFS
• Document Handling - Sharing, Downloading, Importing, Exporting
• Load balancing for large scale deployments with hundreds of concurrent users

Cloudera Manager 7 - What’s new for HDP Users
• Single pane of glass
○ Multiple clusters! (up to 3,000 nodes total)
○ ‘Compute’ clusters & ‘Base’ clusters (‘VPCs’)
• Security
○ Automated wire encryption (TLS 1.2)
○ HDFS encryption-at-rest wizard (KTS/KMS)
○ Fine-grained access control for admins
• Ease of administration
○ Global configuration search / config ‘diff’ before restart
○ Edge/’gateway’ node configuration
○ Proper rolling restart (HA-sensitive)
○ View of YARN/Impala workloads
• Performance
○ BitTorrent based distribution of binaries

Cloudera Manager 7 - What’s new for Everyone!
• Management of new services
○ Ranger,Atlas,Hive-on-Tez,DAS
• CDP Look-and-Feel
• Cluster-level configuration history
• Improved global search
• Resume errors in enabling Kerberos
• Minor scalability improvements (hosts page)
• Improved alerts configuration
• JQuery 3.4 (improved security)

Capacity Scheduler & Queue Manager UI
• Capacity Scheduler is now default scheduler in YARN
! GPU support
! Node Labels
! Global scheduling support
! Better placement support
• A new Queue management UI experience for better usability

Capacity Scheduler & Queue Manager UI
• New Queue Manager UI in CM to configure resources and queues
List of all queues in
cluster

Spark Dependency Management
• Simplify dependency management with Spark-on-Docker support
• No need to install dependencies on individual cluster hosts
Enable Docker on
YARN with a click
from CM for Spark
workloads

Cloudera DataFlow (CDF) Platform - When will it be Supported on CDP-DC?
Deployment Spectrum
CDP DataHub
CDP DataCenter
CDP DataFlow Service
CDH On-Premise

CFM 2.0 Highlights & Platform Integration
Based on Apache NiFi 1.10
Allows parameterization of all
processor properties
Support for “public” (accessible to
remote site to site clients) ports for
any processor
Queue Length and time to
Backpressure are now predicted
First release to include K8s
Operator (Tech Preview)
Allows customers to try out NiFi
clusters on Kubernetes
Operator takes care of NiFi cluster
installation, configuration and
scaling
OpenShift certified (pending)
Goal is to to gather feedback from
customers about requirements
First release to include Stateless
NiFi Runtime
New NiFi Runtime
Flow Files stored in memory, not
persisted on disk
Data Durability provided by source/
target systems
Allows for abstraction of “jobs”
Allows for flows to be “triggered”
CFM 2.0 will be Available as Add-On to CDP-DC Available Post GA - Target Q4

Flume to CEM / CFM migration
Yes, Flume is really gone.
Opportunity Flume Use Case Migration
Questions? Need Help for
specific customer use case?
Flume Offload Sales Play
We now have a powerful data
distribution / ingest tool in our stack
Door opener for new analytics use
cases
- Flexible Data Movement
architecture
- Foundation for real-time
stream processing
Identify your customer’s Use Cases
Most common use cases:
- Hadoop Ingest (HDFS, HBase)
- “Flafka” (Read/Write Kafka)
- HTTP, File sources/sinks
Flume used as agent -> CEM
Flume used for central ingest -> CFM
We will host a deep-dive Flume
Offload enablement
Check out Flume Offload Collateral
(Decks, example Flows, migration
strategy)
Reach out to dim-
field@cloudera.com
mkohs@cloudera.com
fce_streaming / fce_nifi

Kafka 2.3 Available in CDP-DC 7.0
Secure and Governed Kafka Clusters with New Ranger & Atlas Integration
What's New?
• Kafka 2.3 available in CR 7.0 Parcel
• Kafka / Ranger Integration
• Kafka / Atlas Integration
• Support Hive 3.X / Kafka Storage
Handler
• Support LDAP Base Auth
• Support multiple Kafka compute
clusters using shared Security Data
Lake with Ranger & Atlas
Shared Security Context
from Data Lake consisting
of Ranger and Atlas
Kafka Compute Cluster
using Shared Security
Context

Kafka Management Services Support on CDP-DC
SR, SMM & SRM Available as Add-On to CDP-DC Available Post GA - Target Q4
Schema Registry
New Kafka Schema Governance
Streams Replication Manager (SRM)
New Kafka Replication Engine powered by
MirrorMaker2
Streams Messaging Manager (SMM)
New Kafka Monitoring Service

New Flink Support on CDP-DC
Flink Yarn Support Available as Add-On to CDP-DC Available Post GA - Target Q4
Why Flink
• Next Gen streaming engine
offers more superior solution
than Storm
• Flink runs as Yarn app
• Key Features
! Ultra Low Latency ( < 100 MS)
! Advanced features (late arriving data,
checkpointing, event time processing)
! Exactly Once Processing
! Complex Stateful Stream Processing
! Growing / Vibrant Community

Tour
CML for CDP
https://console.cdp.cloudera.com/#/

DATA-DRIVEN JOURNEY

DATA-DRIVEN JOURNEY
USE CASES
VISIBILITY
PRODUCTIVITY
TRANSFORMATION
Preventive  
& Proactive
Maintenance
IoT Hub for
Industry 4.0
Advanced
Threat
Detection
Risk  
Modelling &
Analysis
Marketing
Systems
Integration
Customer
360  
Insights
Exploratory
Data
Science
Data
Warehouse
Applied
Machine
Learning
GROW
Sales & Marketing
CONNECT
Operations & Product
PROTECT
Security & Compliance
MODERNIZE
IT, Tech, Data Science & Analytics

HIERARCHY OF NEEDS FOR THE DATA-DRIVEN ENTERPRISE
The “AI Ladder”
AI
MACHINE
LEARNING
DATA SCIENCE
ANALYTICS
"BIG DATA"

Actionable Intelligence Powers Today’s Financial Services
OFAC
Lists
Credit
Records
ATM
Streams Transactions
& Wires
Stock
Tickers
Trade
Settlements
DIGITAL CUSTOMER
360
RISK DATA
AGGREGATION
ANTI-MONEY LAUNDERING FRAUD
DETECTION
TRADE
SURVEILLANCE
Mobile
App Data
Trade
Data
Web
Logs
Banker
Notes
Demographi
c Data
Customer
Transactio
n Data

Connected Data Drives Success in Telecommunications
Call Detail
Records
Product
Catalogs
Cyber
Threat
Metadata
Sensor
Data
Server
Logs
Voice-to-Text
SINGLE VIEW OF
THE CUSTOMER
CHURN
REDUCTION
CDR ANALYSIS NETWORK
OPTIMIZATION
DYNAMIC BANDWIDTH
ALLOCATION
Clickstrea
m
ERP
System
Data
Social
Media Billing
Data
Subscriber
Profiles
CRM
Record
s

Actionable Intelligence Drives Retail Sales Growth
Product
Catalogs
Sales
Forecasts
Beacons &
RFID Server
Logs
In-Store
WiFi Logs
Store
Communicatio
ns
SINGLE VIEW OF
THE CUSTOMER
PRODUCT
RECOMMENDATIONS
INVENTORY &
SUPPLY CHAIN
PRICING
OPTIMIZATION
TARGETED
PROMOTIONS
Clickstrea
m
ERP
Data
Social
Media
Staffing
Plans
Store
Reporting
CRM
Record
s

Actionable Intelligence Makes Healthcare Precise and Personal
Patient
Records
Lab Data
Pharmacy
Data
Patient
Locations
Wearable
s
Intra-Network
Data
Sensor
Data
Claims
Data
Social
Media Physician
Notes
Patient
Satisfaction
Data
Clinical
(EMR)
Data
SINGLE VIEW OF
PATIENT
REAL-TIME VITAL
SIGN MONITORING
BILLING &
REIMBURSEMENTS
EMR
OPTIMIZATION
SUPPLY CHAIN
OPTIMIZATION

Actionable Intelligence Makes Pharmaceuticals Safe & Effective
Research
Cohort Data
Molecular
Data
RFID
Data Social
Media
Biometri
cs
Sensor
Data
DRUG TRIAL COHORT
SELECTION
YIELD
OPTIMIZATION
RAW MATERIAL WASTE
REDUCTION
SEARCHABLE
RESEARCH REPOS
NEXT-GEN
SEQUENCING (NGS)
Supply Chain
Geo-location Data
Scientific
Studies
Manufacturing
Machine Data
Clinical
Records
Sales
Reports
Genomic
Data

Actionable Intelligence Powers Modern Manufacturing
Defect
Testing Data
Product
Designs
MES
System
s
RFID
Streams
SCADA
Systems
Shop Floor
Sensors
PREVENTATIVE
MAINTENANCE
SUPPLY CHAIN
OPTIMIZATION
YIELD MAXIMIZATION QUALITY
CONTROL
RECALL AVOIDANCE
ERP
Systems
Supplier
Receipts
Machine
Data
Assembly
Line Sensors
Data
Historians
Work
Orders

Actionable Intelligence Enhances Public Sector Efficiency
Historical
Archives
Cyber Threat
Metadata
Vehicle
Telemetry
Data
Disease
Outbreaks
Natural
Disasters
PUBLIC
TRANSPORTATION
INFRASTUCTURE
MAINTENANCE
PUBLIC
HEALTH
NATIONAL
DEFENSE
HOMELAND
SECURITY
Socia
l  
Medi
a
Work
Orders
Meeting
Notes
Voter
Rolls Public
Benefits
Claims
Financial
Audits
Extreme
Weather Alerts

THANK YOU!
Because
This is Your
BigData
Year!
2020

Meet up roadmap cloudera 2020 - janeiro

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