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JavaWorld Update

January 01, 2019

Image: TigerGraph review: A graph database designed for deep analytics

TigerGraph review: A graph database designed for deep analytics

Highly parallelized and horizontally scalable, TigerGraph shines for use cases that require multi-hop analytic queries Read more ▶

Your Must Read Stories

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TigerGraph review: A graph database designed for deep analytics

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Kubernetes is so hard—but worth the pain

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Serverless computing with AWS Lambda

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Datastructures and algorithms in Java

White Paper: GridGain Systems

In-Memory Computing: Now and Tomorrow

The in-memory platforms of the future will embrace these trends and go further. Not only will they offer the key capabilities that users expect, such as strong SQL support, they will also address the needs of emerging use cases, such as IoT, machine learning, hybrid transactional/analytical processing (HTAP), and transformative new storage technologies such as non-volatile memory. Read more ▶

Image: Kubernetes is so hard—but worth the pain

Kubernetes is so hard—but worth the pain

2019 will be a challenging year for some enterprises as they try to turn Kubernetes hype into production reality Read more ▶

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Image: Serverless computing with AWS Lambda

Serverless computing with AWS Lambda

Serverless computing is no magic carpet, but how does it really work? Get an overview of AWS Lambda's nanoservices architecture and execution model, then build your first Lambda function in Java Read more ▶

 
 
Image: Datastructures and algorithms in Java

Datastructures and algorithms in Java

Programmers use datastructures to store and organize data, and algorithms to manipulate that data. Get the basics of these fundamental programming elements, and find out how they work together in your Java programs Read more ▶

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