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The Latest Data Engineering Topics

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Spring Data Series (Part 3): Typesafe Query
Today, we dive into how Spring Data incorporates the querydsl project to provide simpler naming conventions and overcomes shortcomings.
October 9, 2016
by Shaamik Mitraa
· 12,515 Views · 8 Likes
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Addressing Big Data Failures in Predictive Analytics
This article covers how to prevent big data failures in predictive analytics by diving into strategies for proper implementation, common mistakes, proper big data structuring, and more.
October 8, 2016
by Ryan Kh
· 10,433 Views · 4 Likes
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Hash Tables, Mutability, and Identity: How to Implement a Bi-Directional Hash Table in Java
Mutability can affect the behavior of hash tables. Misunderstanding mutability can cause objects stored in a hash table to become irretrievable and essentially disappear.
October 7, 2016
by Wayne Citrin
· 20,510 Views · 12 Likes
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Understanding Kafka Consumer Groups and Consumer Lag: Part II
In Part II, we'll look at Kafka Coordinator, lag as a KPI, and more!
October 7, 2016
by David Brinegar
· 29,711 Views · 4 Likes
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Increased Analytics at the API Client and SDK Level
API providers are including more analytics services...but are the features more about data generation than they are about analytics?
October 7, 2016
by Kin Lane
· 4,131 Views · 1 Like
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The Different Reasons Behind Why We Craft API Definitions
Kin Lane explains the process behind creating API definitions as a learning tool and considers why we craft API definitions.
October 7, 2016
by Kin Lane
· 3,232 Views · 2 Likes
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MongoDB: The Good, The Bad, and The Ugly
This cheatsheet gives a quick overview of what's good about MongoDB, what's not so good, and what might send you running for the hills.
October 6, 2016
by Darel Lasrado
· 69,190 Views · 14 Likes
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Understanding Kafka Consumer Groups and Consumer Lag (Part 1)
In this post, we will dive into the consumer side of this application ecosystem, which means looking closely at Kafka consumer group monitoring. Read on to find out more.
October 6, 2016
by David Brinegar
· 85,759 Views · 11 Likes
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NEST and UNNEST: Normalizing and Denormalizing JSON on the Fly
This article details a variety of nesting and unnesting procedures you can implement in Couchbase's N1QL to organize and query your data.
October 6, 2016
by Johan Larson
· 33,895 Views · 14 Likes
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The Rise and Fall of Scala
See one writer's take on Scala — how it came about, where it succeeded, and how it's declining.
October 6, 2016
by Moshe Kranc
· 133,235 Views · 132 Likes
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An Integrations Page for Your API Solution
Kin Lane shares his thoughts about how you can be sure that you are keeping up with all of the new API service providers.
October 6, 2016
by Kin Lane
· 3,095 Views · 3 Likes
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Scalable Graph Analytics with Apache Spark: Part I
Get started with scalable graph analysis via simple examples that utilize GraphFrames and Spark SQL on HDFS.
October 5, 2016
by Mirko Kämpf
· 6,234 Views · 7 Likes
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SpringData: Property Traversal
In this article, Shamik Mitra will discuss the details of the "Queryname," derivation technique.
October 5, 2016
by Shaamik Mitraa
· 7,193 Views · 3 Likes
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Migrating EJB2 Entity Beans to EJB3 and JPA
Impossible is nothing. Read on to learn how to migrate all of the EJB2 Entity Beans from a legacy project to EJB3 Entity Beans with JPA.
October 5, 2016
by Eugen Hoble
· 14,939 Views · 4 Likes
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An Opinionless Comparison of Spring and Guice
One developer maps out the features of both Spring and Guide from a dependency injection angle to see which one comes out on top.
October 4, 2016
by Nikhil Wanpal
· 39,814 Views · 28 Likes
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5 Basic REST API Design Guidelines
These guidelines from Guy Levin are intended to help you in creating clean, easy to use, and easily understandable APIs.
October 4, 2016
by Guy Levin
· 63,362 Views · 60 Likes
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Results of the Ultimate REST API Challenge
SmartBear Software launched the Ultimate REST API Challenge for two weeks. Here are the answers to the eight-question quiz, with explanations for each one.
October 4, 2016
by Rema Alyahya
· 4,390 Views · 1 Like
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12 Factors and Beyond in Java
Get a sense of estimating the skills, knowledge of users, and developers. Invest adequately in the understanding of the existing codebase.
October 4, 2016
by Pieter Humphrey
· 31,788 Views · 15 Likes
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IBM i Business Logic API With Mule
I walk through the process of exposing IBM i Business logic via APIs using Mulesoft Anypoint platform and Web Transaction Framework.
October 4, 2016
by Dmitriy Kuznetsov
· 4,737 Views · 2 Likes
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Using the super_read_only System Variable
This blog post will discuss how to use the MySQL super_read_only system variable to prevent people from making unauthorized DML queries on your slave servers.
October 3, 2016
by Pablo Padua
· 11,344 Views · 1 Like
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