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Partitioning for Scalability: Real-Time Streaming Big Data Applications

May 31, 2017 @ 9:00 am - 10:00 am

Presenter: Vikram Patil, Engineer at DataTorrent.

Abstract: In this session, we will talk about how an organization can scale up their processing infrastructure statically as well dynamically.

Bio: Vikram Patil is an Engineer at DataTorrent

Please use the following link to register for the webinar: 

After registering, you will receive a confirmation email containing information about joining the webinar.

For deeper engagement with Apache Apexdownload, view past meetup webinarsslides, and docs

To reduce time to market and total cost of ownership, look at our operable solutions factory – (https://www.datatorrent.com/apphub) that you can quickly import and launch.

Examples: HDFS to HDFS & HDFS-Line-Copy (back-up, replication, disaster recovery, distcp replacement); Kafka  to HDFS (ingest, transform); S3 to HDFS (cloud to on-prem); HDFS to Kafka (data lake to event stream, big data log streaming); Database to HDFS (DB offload); Database to Database (change data capture, customer 360); Kafka to Database (ingest, transform & load); Kinesis to S3 (Cloud ingest, transform, & load). 

Templates include: Ability to parse, error check, transform, and act-on before loading. Additionally, you can add/modify your custom logic on transform, alerts, and actions. Templates include real-time dashboarding for instant views and historical views.

Free DataTorrent Enterprise Edition for qualifying startups. Check it out

Free DataTorrent Enterprise Edition for Universities. Check it out!

Brought to you by DataTorrent, creators of Apache Apex.


May 31, 2017
9:00 am - 10:00 am
Event Category:


Chicago, IL us


Next Gen Native Hadoop Big Data Apex Users Group, Chicago