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The Latest Data Engineering Topics

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How to Write Good Bug Reports and Gather Quality Metrics Data
Learn how to write better bug reports and gather quality metrics.
April 23, 2019
by Anton Angelov
· 9,900 Views · 2 Likes
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Using EBS and EFS as Persistent Volume in Kubernetes
Take a look at how you can use EBS and EFS in AWS using the Kubernetes volume plugin.
April 23, 2019
by Samson Gunalan
· 27,143 Views · 2 Likes
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How to Test Software, Part I: Mocking, Stubbing, and Contract Testing
Learn more about mocking, stubbing, and contract testing for testing your software.
April 23, 2019
by June Jung
· 15,814 Views · 3 Likes
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Microservices and DevOps Using Java, Spring Boot, Git Flow, Jenkins, and Docker
In this post, we develop a microservice using Java and the Spring framework and then use DevOps pipeline to deploy it with Jenkins and Docker.
April 23, 2019
by Amritendu De
· 55,136 Views · 32 Likes
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Use Java EE and OpenID Connect to Secure Your Java API
Learn how to use Java EE and OpenID Connect to secure your Java API.
Updated April 22, 2019
by Matt Raible
· 45,128 Views · 4 Likes
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Deploying Your Microservices
Ready to deploy your awesome microservices? Read on for one architect's advice on how to make it happen.
April 22, 2019
by James Luterek
· 49,856 Views · 24 Likes
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Scalable Select of Random Rows in SQL
Let's explore a scalable select of random rows in SQL.
April 22, 2019
by Pavel Tiunov
· 8,872 Views · 1 Like
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AWS Lambda Best Practices
Check out some of the best practices of one of AWS's most popular services here.
April 22, 2019
by Rajesh Bhojwani
· 48,596 Views · 49 Likes
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Optimizing Relationships Between Entities in Hibernate
See how to optimize relationships between entities in Hibernate.
April 22, 2019
by Jesus J. Puente
· 12,785 Views · 4 Likes
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How to Process Nasty Fixed Width Files Using Apache Spark
Fixed width files can be a pain. Learn how to get around the issues they present using Scala and Spark.
April 19, 2019
by Subhasish Guha
· 30,381 Views · 6 Likes
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Contracts for Microservices With OpenAPI and Spring Cloud Contract
In this post, I'll explain how to define contracts at the service level using OpenAPI and Spring Cloud Contract.
April 19, 2019
by John Thompson
· 21,781 Views · 4 Likes
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GraphQL: Core Features, Architecture, Pros, and Cons
Explore the GraphQL toolset and its key features, see how GraphQL is taking API design architecture to a new level, and see how it is still losing to REST.
Updated April 19, 2019
by Kseniia Bezugla
· 44,606 Views · 17 Likes
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Apache Storm Tutorial
We cover the basics of Apache Storm and implement a simple example of Store that we use to count the words in a list.
April 19, 2019
by Sagar Sharma
· 17,209 Views · 8 Likes
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Introduction to Elasticsearch and the ELK Stack, Part 1
In this post, we cover the frameworks that make up the ELK stack (Elasticsearch, Logstash, Kibana [plus Beats]) and how they all work together.
Updated April 18, 2019
by Ayush Jain
· 20,428 Views · 9 Likes
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Deploy an Angular App From Visual Studio Code to Azure
This article has a star studded lineup: Node.js, Angular, VS Code, and Azure. Read on to learn how to easily build a web app utilizing these technologies!
Updated April 18, 2019
by Brian De Sousa
· 121,031 Views · 6 Likes
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Testing Spike Control Policy in Mule 4
Let's test the Spike Control Policy in Mule 4.
April 18, 2019
by Rajat Pareek
· 10,155 Views · 2 Likes
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Apriori Itemset Generation With Oracle SQL
Explore an Apriori itemset generation with Oracle SQL.
April 18, 2019
by Zehra Can
· 10,769 Views · 3 Likes
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Lightweight Kubernetes k3s: Installation and Spring Application Example in Azure Cloud
Take a look at this fascinating project that puts Kubernetes's technology closer to the edge than ever.
April 18, 2019
by Konur Unyelioglu
· 19,061 Views · 5 Likes
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10 Best JavaScript Charting Libraries for Any Data Visualization Need
If you're interested in learning how to visualize your findings, read on for a list of great data viz libraries to help get you started.
April 18, 2019
by Ruslan Borovikov
· 40,748 Views · 15 Likes
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Getting Started With JupyterLab
Jupyter Notebook and JupyterLab have become popular among data pros for their ability to run Python and R. Read on to learn how to get started with JupyterLab.
April 17, 2019
by Mike Driscoll
· 25,010 Views · 4 Likes
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