data engineering webinars

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 Process Tons of Data for Cheap with Spark + Kubernetes


How to Process Tons of Data for Cheap with Spark + Kubernetes If you like Spark for processing big data and Kubernetes for scaling and managing containers but you haven’t run Spark on Kubernetes yet, this is the webinar for you.


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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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The Enterprise Architects Intro to Microservices Part 1 Microservices Monoliths SOA and How We Got Here


If you’re tired of battling a monolithic enterprise system that’s difficult to scale and maintain––and even harder to understand––then this webinar series is for you. In these three expert sessions, we go over the details of why a microservice-based architecture that consists of small, independent services is far more flexible than the traditional all-in-one systems that continue to dominate today’s enterprise landscape.


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The Enterprise Architects Intro to Microservices Part 2 The 6 Traits of Reactive Microservices


Had it with your hard-to-maintain, difficult-to-scale and overly-complex monolithic application? In this three-part series on Microservices for enterprise architects, we go over why it makes sense to learn about Microservices architectures, which are comprised of small, independent services and provide more flexibility than the traditional all-in-one systems that continue to dominate today’s enterprise landscape.


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The Enterprise Architects Intro to Microservices Part 3 Bending Reality with Microservices in Production Systems


Still chugging along with a monolithic enterprise system that’s difficult to scale and maintain, and even harder to understand? In this three-part series on Microservices for enterprise architects, we explain why a microservice-based architecture that consists of small, independent services is far more flexible than the traditional all-in-one systems that continue to dominate today’s enterprise landscape.


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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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The Future of Services Building Asynchronous Resilient and Elastic Systems


Microservices has become a difficult term to pinpoint as more people use it to describe various approaches to building service-based applications. Many of these approaches have become anti-patterns to scale, such as sharing code between services and traditional monolithic CRUD data storage strategies.


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Lessons Learned From Verizon Implementing Microservices


What type of platform does it take to live stream the world’s biggest media and sports events to mobile devices? In this webinar with special guest Christopher Webster, Associate Fellow at Verizon, you can get a feel of what it takes to power one of Verizon’s latest offerings, its go90 platform.


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