NoSQL and Database Special Report |
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In this special newsletter we bring you up to date on all the new content and news related to NoSQL and Database on InfoQ. |
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Introducing the only MongoDB as a Service offering available on Amazon Web Services (AWS) powered by the creators of the database. Sponsored content |
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Top Viewed Content on InfoQ |
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Virtual Panel: Current State of NoSQL Databases (articles, Aug 02, 2016) Using Redis as a Time Series Database: Why and How (articles, Jan 02, 2016) Unified Data Modeling for Relational and NoSQL Databases (articles, Feb 28, 2016) Building a Scalable Minimum Viable Product (news, Sep 29, 2016) Ingest & Stream Processing - What Will You Choose? (presentations, Aug 14, 2016) |
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MongoDB Atlas is a hosted NoSQL database service for your most demanding workloads at any scale. Pay only for what you use. Sign up today and see why MongoDB is the world's leading NoSQL technology. Sponsored content |
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Apache Spark integration with deep learning library TensorFlow, online learning using Structured Streaming and GPU hardware acceleration were the highlights of Spark Summit EU 2016 held last week in Brussels. |
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Lambda architecture has been a popular solution that combines batch and stream processing. Kartik Paramasivam at LinkedIn wrote about how his team addressed stream processing and Lambda architecture challenges using Apache Samza for data processing. The challenges described are the late arrival of events and the processing of duplicated messages. |
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Version 1.4 of Meteor has been released, with major updates to Node and MongoDB. Zoltan Olah, Meteor's director of customer success, said the release "focuses on long term stability for the platform, continues our work to align Meteor with the wider JavaScript ecosystem, and positions us to work closer with the community than ever before". |
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AWS released an update to its Relational Database Service (RDS) that allows users to take advantage of native SQL Server backup and restore functionality. AWS beat Microsoft Azure to market with this capability which simplifies database migration and disaster recovery scenarios. |
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Kostiantyn Cherniavskyi looks at some of the issues surrounding the object-relation impedance mismatch and how many of them can be solved with hybrid databases such as Starcounter. |
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In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application. |
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In this article, Dr. Josiah Carlson, author of the book "Redis in Action", explains how to use Redis and sorted sets with hashes for time series analysis. |
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Lenley Hensarling describes how EnterpriseDB Cloud Management can provide responsible DevOps models for the enterprise. |
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Daniel Rolnick talks about the process Yodle went through adopting and deploying microservices, including database architectures and architectural patterns that emerged. |
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Theo Schlossnagle talks about lessons learned in building an always-on distributed time-series database with aggressive quality of service guarantees, and techniques for dealing with bad machines. |
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Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs. |
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Adeel Ali presents insights from his database of 11,500 real world APIs. |
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