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A Quick Primer on Microservices
The post you've all been waiting for: a from-the-beginning explanation of what Microservices are and why you should care.
March 10, 2016
by Omed Habib
· 14,447 Views · 6 Likes
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RDBMS & Graphs: SQL vs. Cypher Query Languages
If SQL is like a poem then Cypher is like a Haiku: minimal and deep. Read on and you'll understand the analogy.
March 10, 2016
by Michael Hunger
· 11,257 Views · 3 Likes
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Returning Multiple Values from Functions in C++
In this day and age, programmers often need to return multiple values from functions in C++. Author Eli Bendersky provides an overview of some of the options available to accomplish this feat, along with a peek at what's in store for this necessity in C++.
March 9, 2016
by Eli Bendersky
· 111,315 Views · 4 Likes
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NoSQL Database Types
In this article, excerpted from Introducing Data Science, we will introduce you to the four big NoSQL database types. Read on for more info.
March 5, 2016
by Arno Meysman
· 89,346 Views · 21 Likes
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Build an Online Store With MongoDB, Node.js, and Elasticsearch
Check out the following infographics and brief break-down to help you visualize and understand the decisions involved in choosing a microservice architecture.
March 4, 2016
by Siva Prasad Rao Janapati
· 22,964 Views · 15 Likes
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Linking Apache Ignite and Apache Kafka for Highly Scalable and Reliable Data Processing
Here's how to link Apache Kafka and Ignite, for maintaining scalability and reliability for data processing. We'll explore injecting data with KafkaStreamer, as well as IgniteSinkConnector.
March 3, 2016
by Roman Shtykh
· 23,995 Views · 13 Likes
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Python: Intro to Caching
In this article, we’ll look at a simple example that uses a dictionary for our cache. Then, we’ll move on to using the Python standard library’s functools module to create a cache. Read on for more info.
March 1, 2016
by Mike Driscoll
· 12,588 Views · 2 Likes
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Generate Database Scripts With Data In SQL Server
In this post, let's take a look at how we can generate SQL Server scripts of our database with existing data.
February 24, 2016
by Sibeesh Venu
· 306,767 Views · 7 Likes
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12 Great Web Service Testing Tools
In recent years, API use, and reliance on web services has increased. Here's a list of 12 awesome web service testing tools to aid your API and web service journey.
February 24, 2016
by NaveenKumar Namachivayam DZone Core CORE
· 300,572 Views · 38 Likes
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Choosing a Microservices Deployment Strategy Part 6
Here's part 6 of our microservices architecture, with a focus on deployment strategy!
February 23, 2016
by Chris Richardson
· 45,025 Views · 9 Likes
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Trie-based Routing
The major reason routing is such an expensive issue in MVC is that it does quite a lot. But, by utilizing tries, you can save on performance.
February 23, 2016
by Oren Eini
· 4,788 Views · 1 Like
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Microservice Performance Patterns
Microservices-based systems are increasingly prevalent. Here's a look at five common microservice-specific performance challenges and how to meet them.
February 22, 2016
by Rohit Dhall
· 31,878 Views · 23 Likes
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Insights From Stackoverflow: Most Voted for Spring 4 Questions
Spring 4 is widely used, but as with any technology, there are loads of questions. Here are the most asked and answered questions on Stackoverflow, like differences in component and controller annotations, and what the Spring framework is actually used for.
February 20, 2016
by Alex Theedom
· 12,323 Views · 15 Likes
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Inter-Process Communication in a Microservices Architecture
In part 3 of our building microservices series, let's explore inter-process communication in a microservices architecture!
February 20, 2016
by Chris Richardson
· 130,594 Views · 51 Likes
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Real-time Data Pipelines with Kafka Connect
Information about Kafka Connect sourced from Spark Summit East 2016.
February 19, 2016
by Tim Spann DZone Core CORE
· 16,604 Views · 5 Likes
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Loading Data Into Azure SQL Data Warehouse
I’m not an ETL expert. In fact, I haven’t done any professional ETL work for several years. My skills are, at best, rusty. With this in mind, I knew I’d have a hard time extracting data from a local database in order to move it up to Azure SQL Data Warehouse. Read on to hear about my journey.
February 18, 2016
by Grant Fritchey
· 14,249 Views · 6 Likes
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The Most Important Elements of Cloud-Based Applications
Scalability, security, cost savings, integration/connectivity, and stability/availability are all important elements of cloud-based applications.
February 18, 2016
by Tom Smith DZone Core CORE
· 9,079 Views · 3 Likes
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How to Build Angular 2 Apps Using Observable Data Services — Pitfalls to Avoid
In this post, we are going to see how an Angular 2 application can be built around the concept of observable data services. Read on to learn more.
February 18, 2016
by Vasco Cavalheiro
· 81,556 Views · 5 Likes
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Expecting Failures in Microservices and Working Around Them
Learn more about microservice failures, and ways to circumvent failures in this excerpt from "Microservices in .NET."
February 17, 2016
by Christian Horsdal
· 28,762 Views · 7 Likes
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Making the Impossible Possible with Tachyon: Accelerate Spark Jobs from Hours to Seconds
Barclays Data Scientist Gianmario Spacagna and Harry Powell, Head of Advanced Analytics, describe how they iteratively process raw data directly from the central data warehouse into Spark and how Tachyon is their key enabling technology.
February 16, 2016
by Henry Powell
· 38,052 Views · 8 Likes
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