IBM Cloud Pak for Data (previously IBM Cloud Private for Data) is IBM’s data and AI platform built on an open and cloud-native information architecture.¬† As a fully governed team platform, the platform also helps organizations keep data secure at its source and add preferred data and analytics microservices flexibly.¬†
As part of IBM Cloud Pak for Data, Streams enables teams of developers, data scientists, data engineers and more to gather, analyze and act upon insights from both stored and in-flight data.
Features and benefits of Streams for IBM Cloud Private for Data include:
  • Build and deploy, and elastically scale streaming applications using Python.
  • Connect to multiple streaming data sources and databases, including: IBM Event Streams, HTTP, and Internet of Things (IoT), IBM Db2 Warehouse and IBM Db2 Event Store.
  • Apply simple to advanced analytics methods including machine learning to real-time data streams.

Highlights of what’s new

Version 2.1 of IBM Cloud Pak for Data has just been released, and it includes updates to IBM Streams.  This release is the next phase making it easier to deliver real-time analytics solutions.
Analytics for all:  Streams is now part of the base IBM Cloud Pak for Data product. That means you can start working on streaming analytics to projects without add-on licensing!
Simpler and faster installation: Not only is Streams included in the base product, it comes with an embedded Apache Zookeeper service. This means that that you can now provision a Streams instance quicker, getting project teams productive in minutes.
Support for IBM Db2 Event Store: Db2 Event Store is an in-memory database designed for massive structured data volumes. Streams now includes the streamsx.eventstore toolkit to allow you to write data  from Streams applications to DB2 Event Store.
Start developing faster with new notebook templates: More notebook templates have been added. For example, a new template showing how to score PMML machine learning models on real time data has been added, as well as others showing how to connect to the following systems:

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