Browse our directory of technical webinars.

Software development, devOps, Data Science, Data Engneering AI, UX - Hot topics, Free Learning!

How to Manage NoSQL data with relational databases

Hype. Years ago NoSQL had quite a bit of it. Perhaps you even got caught up in it. But now, considering your applications’ diverse workload requirements and all the innovation of modern relational databases, you might be wondering: “Is there another way?


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Tech Connect with Kainos: Ready, Steady, Cloud

If you’re DevOps Architect, Senior DevOps Engineer or Cloud Engineer that has a passion for building a better world through tech, this digital event is not one to miss. hackajob in partnership with Kainos are hosting this dynamic and insightful online webinar ‘Tech Connect with Kainos: Ready, Steady, Cloud!


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Run Apache Spark on Kubernetes with Amazon EMR on Amazon EKS

Broadcast Date: March 22, 2021 Level: 200 At AWS re:Invent 2020, we introduced Amazon EMR on Amazon EKS to simplify running big data frameworks on Kubernetes. This new deployment lets you use Amazon EMR to run Apache Spark workloads on Amazon EKS, freeing you from self-managing the open source code, providing better performance, and allowing you to consolidate your infrastructure.


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How Apache Spark 3_0 and Delta Lake Enhances Data Lake Reliability

On-demand webinar Apache Spark has become the de facto open source standard for big data processing for its ease of use and performance. The open source Delta Lake project improves Spark’s data reliability, with new capabilities like ACID transactions, Schema Enforcement, and Time Travel.


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How to build streaming data pipelines with Akka Streams Flink and Spark using Cloudflow

A short video where we walk through the basics of the actor model writing an actor in Java with the new Actor APIs Akka 2.6


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Data Engineering Best Practices


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Akka for Java Devs Bridging the Imagination Divide

Today’s applications are expected to support a multitude of devices, employ hybrid cloud deployments, persist petabytes of data, deliver millisecond response time and have near-perfect reliability. Traditional patterns and practices for enterprise Java application development simply can’t support these demands, or are so complicated that entire systems can be brought down by single points of failure.


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Understanding Akka Streams Back Pressure and Asynchronous Architectures

The term ‘streams’ has been getting pretty overloaded recently–it’s hard to know where to best use different technologies with streams in the name. In this talk by noted hAkker Konrad Malawski, we’ll disambiguate what streams are and what they aren’t, taking a deeper look into Akka Streams (the implementation) and Reactive Streams (the standard).


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