InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov
GridGain announced that the In-Memory Data Fabric has been accepted into Apache Incubator program as Apache Ignite. InfoQ spoke with Nikita Ivanov about their product becoming part of Apache.
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Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition”
The new “Hadoop in Practice. Second Edition” book by Alex Holmes provides a deep insight into Hadoop ecosystem covering a wide spectrum of topics such as data organization, layouts and serialization, data processing, including MapReduce and big data patterns, special structures along with their usage to simplify big data processing, and SQL on Hadoop data.
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Matt Schumpert on Datameer Smart Execution
Datameer, a big data analytics application for Hadoop, introduced Datameer 5.0 with Smart Execution to dynamically select the optimal compute framework at each step in the big data analytics process. InfoQ spoke with Matt Schumpert from Datameer team about the new product and how it works to help with big data analytics needs.
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Stats Anomalies Detector
The article describes the general outline of the Stats Anomalies Detector we developed at MyHeritage and provides a detailed explanation of how to enhance the code (will be available soon at MyHeritage GitHub) to meet your company’s needs.
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Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics
Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics book by Brenda L. Dietrich, Emily C. Plachy, and Maureen F. Norton is a collection of experiences by analytics practitioners in IBM. InfoQ spoke with the authors about the lessons learned from the book, the arsenal of technologies IBM has about Big Data and the future of Analytics.
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Let Me Graph That For You
In this article on Graph Databases, author Ian Robinson discusses the problems Graph DBs aim to solve. He also talks about the data, storage, and query models for managing variably structured, densely connected data.
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Aerospike NoSQL Database Architecture
Aerospike is an open source distributed Key-Value NoSQL database. It supports flexible data schemas and ACID transactions. InfoQ spoke with Brian Bulkowski, Aerospike co-founder and CTO, about the NoSQL database architecture, advantages and its limitations.
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Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse
This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from.
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Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop
GridGain recently announced the In-Memory Accelerator for Hadoop, offering the benefits of in-memory computing to Hadoop based applications. It includes two components: an in-memory file system and a MapReduce implementation. InfoQ spoke with Nikita Ivanov, CTO of GridGain about the architecture of the product.
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Apache CouchDB: The Definitive Introduction
Apache CouchDB is an open source document NoSQL database that uses JSON for storing documents. In this article, Jan Lehnardt gives an overview of CouchDB, its architecture and what problems it aims to solve and why it is different from all other databases.
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Practical Cassandra: A Developer's Approach - Book Review and Interview
Practical Cassandra: A Developer's Approach book by Russell Bradberry and Eric Lubow, is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with the authors about the book, Cassandra data model, design considerations and how Cassandra performs concurrency and versioning of the data sets.
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Introducing Spring XD, a Runtime Environment for Big Data Applications
Spring XD (eXtreme Data) is Pivotal’s Big Data play. It joins Spring Boot and Grails as part of the execution portion of the Spring IO platform. Whilst Spring XD makes use of a number of existing Spring projects it is a runtime environment rather than a library or framework, comprising a bin directory with servers that you start up and interact with via a shell.