Last week in Stream Processing & Analytics 6/21/2016

This is the 19th installment of my blog series around Stream Processing and Analytics.

Last week all the presentation from the Spark Summit have been made available on YouTube. I have included the Stream Processing related talk in the links section below.

As usual, find below the new blog articles, presentations, videos and software releases from last week:

News and Blog Posts

General

Last week in Stream Processing & Analytics 6/13/2016

This is the 18th installment of my blog series around Stream Processing and Analytics.

There were two conferences last week with quite a lot of talks around stream processing: the Spark Summit in San Francisco and the Berlin Buzzwords.
Berlin Buzzwords did a good job in recording the sessions and all of them are already available and the ones talking about Stream Processing listed below.

Last week I have done some work on Oracle Stream (more...)

Providing Oracle Stream Analytics 12c environment using Docker

The past 2 days I spent some time to upgrade the docker support I have created for Oracle Stream Explorer to work for Oracle Stream Analytics (which is the new Oracle Stream Explorer).

I guess Docker I don’t have to present anymore, it’s so common today!

Preparation

You can find the corresponding docker project on my GitHub: https://github.com/gschmutz/dockerfiles

Due to the Oracle licensing agreement, the Oracle software itself can not be provided in (more...)

Last week in Stream Processing & Analytics 6/6/2016

This is the 17th installment of my blog series around Stream Processing and Analytics.

I really liked Darryl Taft’s article on 10 Best Practices for Managing Modern Data in Motion, where she lists 10 tips for managing data in motion. I think all of them are important, here are my 5 favorite ones:

  1. Replace Specifying schema with capturing intent: An intent-driven focus on big data helps decrease the effort and time needed to develop (more...)

Last week in Stream Processing & Analytics 5/31/2016

This is the 16th installment of my blog series around Stream Processing and Analytics.

Last week saw the open sourcing of Twitter Heron, yet another stream processing system created by Twitter. Heron has been powering all of Twitter’s real-time analytics for over two years. Heron is backward compatible with the Storm ecosystem, the stream processing solution previously used by Twitter.  Joe Stein already created an article showing how to get started with Heron on (more...)

Last week in Stream Processing & Analytics 5/24/2016

This is the 15th installment of my blog series around Stream Processing and Analytics.

I’m once more a day late with this article, if it wouldn’t be because work, I could just argue that I have waited for the next version of Kafka being released:-) This was the case last night, with Kafka 0.10 and the Confluent Platform 3.0. Here two of the many tweets announcing the release:

Last week in Stream Processing & Analytics 5/16/2016

This is the 14th installment of my blog series around Stream Processing and Analytics.

If you have not been able to attend the Kafka Summit in San Francisco last week, then you might like the tweet from Confluent Inc.

I listed most of the presentations below in the section “New Presentations” but I (more...)

Last week in Stream Processing & Analytics 5/9/2016

This is the 13th installment of my blog series around Stream Processing and Analytics.

Last week the new release of Oracle Stream Explorer has been release, now under a new name Oracle Stream Analytics. I have written my own blog article about it. This new version is an impressive release with over 15 new major features! It really deserves the name change. Oracle Stream Analytics simplifies stream processing and enables Self Service Streaming Analytics applications (more...)

Oracle Stream Analytics (OSA): the new Oracle Stream Explorer

A few days ago, Oracle released the new version of Oracle Stream Explorer and renamed it to Oracle Stream Analytics (OSA). This new version is an impressive release with over 15 new major features! It really deserves the name change.

Enhanced Patterns Library

The existing patterns have been enhanced substantially  now including Spatial, Statistical, General industry and Anomaly detection through streaming machine learning.

patterns

New Geo-spatial pattern

This pattern can be used to analyze streams containing (more...)

Last week in Stream Processing & Analytics 5/2/2016

This is the 12th installment of my blog series around Stream Processing and Analytics.

The most important event last week was probably the first Kafka Summit being held in San Francisco. At the summit, Confluent shared results from a recent survey that clearly shows the rise of Kafka across the enterprise and the growth of stream processing:

  • According to the results, Apache Kafka is most commonly used for stream processing (72% of respondents). In addition, (more...)