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[Repeat] Monitoring Big Data Hadoop Apex Apps; On-Prem & Cloud with DataTorrent
July 20, 2017 @ 9:00 am - 10:00 am
Description :Apex is the next generation native Hadoop platform that unifies stream and batch processing. Use cases include ingestion, fast real-time analytics, data movement, disaster recovery in Hadoop, ETL, fast batch, machine scoring, alerts and real-time actions. The session will cover how the DataTorrent console provides easy monitoring and debugging of Apex applications.
Presenter: Ajay Gupta, Software Engineer at DataTorrent, Contributor to Apache Apex.
Please register for the webinar at https://attendee.gotowebinar.com/register/916659929456459522
After registering, you will receive a confirmation email containing information about joining the webinar.
Apex and DataTorrent RTS is being actively used in use cases relating to Big Data, Cloud, IOT, CyberSecurity, Real-Time Anomaly detection, etc. This conf will help us understand how Apex can be used in these use cases.
To reduce time to market and total cost of ownership, look at operable solutions factory – 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.