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Partitioning for Scalability: Real-Time Streaming Big Data Applications
May 31 @ 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.
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.
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Brought to you by DataTorrent, creators of Apache Apex.