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1 of 7
Meetup Series on
Hadoop Ingestion Made Easy
Part 3: Ingestion of Unbounded Data
(Kafka -> Enrich -> Transform -> JDBC)
Dr. Sandeep Deshmukh
Committer@Apache Apex
Engineer@DataTorrent
Yogi Devendra
Committer@Apache Apex
Engineer@DataTorrent
2
What is Ingestion
Data ingestion
• A process of obtaining, importing, and analyzing data for later use or storage
in a database
Big Data Ingestion
• Discovering the data sources
• Importing the data
• Processing data to produce intermediate data
• Sending data out to durable data stores
ETL + Big Data => Data ingestion
3
Requirements
• Read from stream
• Kafka
• JMS
• JDBC
• ….
• Enrich
• Transform
• Store
• JDBC
4
Use Case
Kafka
Reader
Enrich Transform
JDBC
Output
● Kafka 0.9
● Multi-topic
● Multi-partition
● Enrich State
using City
● Mark a
transaction as
HIGH or LOW
value
● Store in
DB
Parallel Partition can scale to large volume
5 5
Let us walk-through the code and appreciate how simple it is to
use Apex
● Code walk-through for an data ingestion pipeline using
○ Operators/Modules in Malhar
○ Drag-n-drop user interface
● Validate
○ Partitioning
○ Scalability
Let us create and run the app
6
Resources
• http://apex.apache.org/
• Learn more: http://apex.apache.org/docs.html
• Subscribe - http://apex.apache.org/community.html
• Download - http://apex.apache.org/downloads.html
• Follow @ApacheApex - https://twitter.com/apacheapex
• Meetups – http://www.meetup.com/pro/apacheapex/
• More examples: https://github.com/DataTorrent/examples
• Slideshare: http://www.slideshare.net/ApacheApex/presentations
• https://www.youtube.com/results?search_query=apache+apex
• Free Enterprise License for Startups -
https://www.datatorrent.com/product/startup-accelerator/
Q&A
7

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Ingesting Data from Kafka to JDBC with Transformation and Enrichment

  • 1. Meetup Series on Hadoop Ingestion Made Easy Part 3: Ingestion of Unbounded Data (Kafka -> Enrich -> Transform -> JDBC) Dr. Sandeep Deshmukh Committer@Apache Apex Engineer@DataTorrent Yogi Devendra Committer@Apache Apex Engineer@DataTorrent
  • 2. 2 What is Ingestion Data ingestion • A process of obtaining, importing, and analyzing data for later use or storage in a database Big Data Ingestion • Discovering the data sources • Importing the data • Processing data to produce intermediate data • Sending data out to durable data stores ETL + Big Data => Data ingestion
  • 3. 3 Requirements • Read from stream • Kafka • JMS • JDBC • …. • Enrich • Transform • Store • JDBC
  • 4. 4 Use Case Kafka Reader Enrich Transform JDBC Output ● Kafka 0.9 ● Multi-topic ● Multi-partition ● Enrich State using City ● Mark a transaction as HIGH or LOW value ● Store in DB Parallel Partition can scale to large volume
  • 5. 5 5 Let us walk-through the code and appreciate how simple it is to use Apex ● Code walk-through for an data ingestion pipeline using ○ Operators/Modules in Malhar ○ Drag-n-drop user interface ● Validate ○ Partitioning ○ Scalability Let us create and run the app
  • 6. 6 Resources • http://apex.apache.org/ • Learn more: http://apex.apache.org/docs.html • Subscribe - http://apex.apache.org/community.html • Download - http://apex.apache.org/downloads.html • Follow @ApacheApex - https://twitter.com/apacheapex • Meetups – http://www.meetup.com/pro/apacheapex/ • More examples: https://github.com/DataTorrent/examples • Slideshare: http://www.slideshare.net/ApacheApex/presentations • https://www.youtube.com/results?search_query=apache+apex • Free Enterprise License for Startups - https://www.datatorrent.com/product/startup-accelerator/