Data Federation with Apache Spark

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Apache Spark continues to grow in popularity - due to advanced analytics/machine learning, high performance processing, real-time streaming and multiple language support. Big Data technology is adding more data processing options to an already long list of legacy databases and file systems. As a result, enterprises continue to look for effective and approachable ways to federate all these data sources to solve business information needs. One under-appreciated feature of Spark is its ability to help quickly and powerfully enable federated data access. This presentation will discuss and demonstrate using Spark to query/combine multiple disparate data sources. We will see how to access the various data sources from Spark, normalize to Spark RDDs and combine for processing. The demo will show combining sources such as HDFS, JSON files, HBase, Hive and PostgreSQL and write the result back to a Data Mart for analysis. Also we will show the use of SparkSQL to access federated data in Spark through the Spark Thrift Server using the the Tableau BI tool.

Tecnologia

Data Federation with Spark
Dan Marshall
danmarshall07@gmail.com
06/13/2017

PostgreSQL Source
postgres=# create table pg_employee (emp_id int, emp_name varchar,
emp_title varchar, emp_hire_date date, emp_dept_id varchar);
postgres=# select * from pg_employee;
emp_id | emp_name | emp_title | emp_hire_date | emp_dept_id
--------+------------------+-----------+---------------+-------------
1 | Fred Flinstone | Quarryman | 2001-07-01 | M1
2 | Donald Duck | Fisherman | 2011-04-28 | F1
3 | Larry Fitzgerald | Receiver | 2005-11-12 | S2
4 | Randy Johnson | Pitcher | 2008-01-11 | S2
(4 rows)

HBase Source
hbase(main):004:0* create 'hb_dept','cf1'
=> Hbase::Table - hb_dept
hbase(main):008:0* put 'hb_dept','M1','cf1:dept_name','Maintenance'
hbase(main):009:0> put 'hb_dept','F1','cf1:dept_name','Entertainment'
hbase(main):010:0> put 'hb_dept','S2','cf1:dept_name','Sports'
hbase(main):012:0* scan 'hb_dept'
ROW COLUMN+CELL
F1 column=cf1:dept_name, timestamp=1496621309775,
value=Entertainment
M1 column=cf1:dept_name, timestamp=1496621309741, value=Maintenance
S2 column=cf1:dept_name, timestamp=1496621309863, value=Sports
3 row(s) in 0.0590 seconds

Cassandra Source
Connected to Test Cluster at cassandra:9042.
[cqlsh 5.0.1 | Cassandra 3.10 | CQL spec 3.4.4 | Native protocol v4]
Use HELP for help.
cqlsh> use mykeyspace;
cqlsh:mykeyspace> create table bonus_table (userid int primary key, bonus_amount decimal);
cqlsh:mykeyspace> insert into bonus_table (userid, bonus_amount) values (1, 500.00);
cqlsh:mykeyspace> insert into bonus_table (userid, bonus_amount) values (4, 1000.00);
cqlsh:mykeyspace> select * from bonus_table;
userid | bonus_amount
--------+--------------
1 | 500.00
4 | 1000.00
(2 rows)

Use SQL on DataFrame from Cassandra Source

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Victor Rentea

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Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Zilliz

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

apidays

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Architecting Cloud Native Applications

WSO2

ICT role in 21st century education and its challenges

rafiqahmad00786416

In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

Platformless Horizons for Digital Adaptability

WSO2

CNIC Information System with Pakdata Cf In Pakistan

danishmna97

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Jeffrey Haguewood

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

MINDCTI Revenue Release Quarter One 2024

MIND CTI

Vector Search -An Introduction in Oracle Database 23ai.pptx

Remote DBA Services

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Victor Rentea

Data Federation with Apache Spark

1. Data Federation with Spark Dan Marshall danmarshall07@gmail.com 06/13/2017

4. PostgreSQL - Spark

5. PostgreSQL - Spark

6. HBase Source hbase(main):004:0* create 'hb_dept','cf1' => Hbase::Table - hb_dept hbase(main):008:0* put 'hb_dept','M1','cf1:dept_name','Maintenance' hbase(main):009:0> put 'hb_dept','F1','cf1:dept_name','Entertainment' hbase(main):010:0> put 'hb_dept','S2','cf1:dept_name','Sports' hbase(main):012:0* scan 'hb_dept' ROW COLUMN+CELL F1 column=cf1:dept_name, timestamp=1496621309775, value=Entertainment M1 column=cf1:dept_name, timestamp=1496621309741, value=Maintenance S2 column=cf1:dept_name, timestamp=1496621309863, value=Sports 3 row(s) in 0.0590 seconds

7. HBase - Spark

8. Join – HBase and PostgreSQL

9. Cassandra Source Connected to Test Cluster at cassandra:9042. [cqlsh 5.0.1 | Cassandra 3.10 | CQL spec 3.4.4 | Native protocol v4] Use HELP for help. cqlsh> use mykeyspace; cqlsh:mykeyspace> create table bonus_table (userid int primary key, bonus_amount decimal); cqlsh:mykeyspace> insert into bonus_table (userid, bonus_amount) values (1, 500.00); cqlsh:mykeyspace> insert into bonus_table (userid, bonus_amount) values (4, 1000.00); cqlsh:mykeyspace> select * from bonus_table; userid | bonus_amount --------+-------------- 1 | 500.00 4 | 1000.00 (2 rows)

10. Cassandra – Spark

11. Use SQL on DataFrame from Cassandra Source

12. Join – Hbase,PostgreSQL,Cassandra

13. JSON Source {"dept":"F1"} {"dept":"S2"}

14. JSON Code

15. Join – Hbase,PostgreSQL,Cassandra,JSON

16. SQL on Final Temp View

17. JDBC Write

18. Enriched Table in PostgreSQL

19. Data Federation with Spark Dan Marshall danmarshall07@gmail.com 06/13/2017