Java 8 Recipes, Part 1

Organizer: Next Gen Native Hadoop Big Data Apex Users Group, Raleigh
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This presentation continues the discussion of the new features in Java 8 from a recipe approach. This includes more about streams, including parallel streams. The Optional type is included, showing its preferred usage and potentially controversial aspects.

The talk also covers the new date and time package based on Joda time, as well as the Collector interface, parallel arrays, and futures.

Speaker :

Kenneth Kousen

Author of "Making Java Groovy" and "Gradle Recipes for Android"

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NFJS Backpack

NFJS 2017 T-shirt

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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.


Poster: triangletech