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Learning path: Getting started with Db2 Event Store

Patterns, tutorials, and code to help you learn and use Db2 Event Store

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By IBM Developer Staff
Published July 21, 2019

Level Topic Type
100 Achieve real time analytics, IoT, and fast data to gather meaningful insights Blog
101 Understand customer interests with clickstream analysis Code pattern
102 Analyze IoT sensor data with machine learning and advanced analytics Code pattern
103 Stream and store retail order data for analysis Code pattern
104 Stream data with Apache Kafka into the IBM Db2 Event Store Tutorial

This Learning path is designed for developers interested in quickly coming up to speed on what Db2 Event Store offers and how it's used. It consists of step-by-step tutorials, patterns, and complete examples of working code. As you proceed through the Learning path, you'll learn more features and different use cases for Db2 Event Store.

To get started, click on a card below, or see the table above for a complete list of topics covered.

Achieve real time analytics, IoT, and fast data to gather meaningful insights

Blog

Achieve real time analytics, IoT, and fast data to gather meaningful insights

July 6 2019

Learn how to:

  • Collect data so it's simple and accessible
  • Analyze and scale AI with trust and transparency
  • Infuse and operationalize AI in your business

Understand customer interests with clickstream analysis

Code Pattern

Understand customer interests with clickstream analysis

June 19, 2018

Learn how to:

  • Install Db2 Event Store
  • Ingest data into Db2 Event Store using Scala
  • Query Db2 Event Store using Scala and Spark SQL
  • Use Brunel to visualize data with interactive charts

Analyze IoT sensor data with machine learning and advanced analytics

Code Pattern

Analyze IoT sensor data with machine learning and advanced analytics

January 30, 2019

Learn how to:

  • Interact with Db2 Event Store using Python and a Jupyter notebook
  • Visualize data using Matplotlib charts
  • Build and test a machine learning model

Stream and store retail order data for analysis

Code Pattern

Stream and store retail order data for analysis

November 26, 2018

Learn how to:

  • Implement WebSockets
  • Use Alpakka Flows for CSV parsing and inserts into Db2 Event Store
  • Use Jupyter notebooks and Scala to interact with Db2 Event Store
  • Use Spark SQL and Brunel to analyze data

Stream data with Apache Kafka into the IBM Db2 Event Store

Code Pattern

Stream data with Apache Kafka into the IBM Db2 Event Store

January 10, 2019

Learn how to:

  • Run a Scala application with sbt
  • Create a Kafka cluster
  • Understand the Db2 Event Store Scala API
  • Install and use Grafana


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