Partitioning for Scalability: Real-Time Streaming Big Data Applications

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

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Examples: HDFS to HDFS (https://www.datatorrent.com/apphub/hdfs-sync/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links) & HDFS-Line-Copy (https://www.datatorrent.com/apphub/hdfs-to-hdfs-line-copy/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links) (back-up, replication, disaster recovery, distcp replacement); Kafka to HDFS (https://www.datatorrent.com/apphub/kafka-to-hdfs-sync/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links) (ingest, transform); S3 to HDFS (https://www.datatorrent.com/apphub/s3-to-hdfs-sync/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links) (cloud to on-prem); HDFS to Kafka (https://www.datatorrent.com/apphub/hdfs-to-kafka-sync/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links) (data lake to event stream, big data log streaming); Database to HDFS (https://www.datatorrent.com/apphub/#/com.datatorrent.apps/database-to-hdfs) (DB offload); Database to Database (https://www.datatorrent.com/apphub/#/com.datatorrent.apps/database-to-database-sync) (change data capture, customer 360); Kafka to Database (https://www.datatorrent.com/apphub/#/com.datatorrent.apps/kafka-to-database-sync) (ingest, transform & load); Kinesis to S3 (https://www.datatorrent.com/apphub/#/com.datatorrent.apps/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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