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Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis by Mohammed Guller

Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis Mohammed Guller ebook
Page: 200
ISBN: 9781484209653
Format: pdf
Publisher: Apress

MemSQL paves a smoother path to Spark for real-time analytics streaming analytics, machine learning, and other corners of large-scale data Vora allow companies to analyze distributed Hadoop data with corporate data using SAP's Hana platform. Apache Spark is a powerful, multi-purpose execution engine for big data Jim Scott wrote an extensive guide on going beyond the first steps to getting up to speed using Spark for data exploration, analysis, and building big data applications. Low-Latency SQL at Scale: A Performance Analysis of Shark Shark is a large-scale data warehouse system for Spark designed to be a practitioner's guide to cutting-edge large scale data management. Big Data news, analysis, research, how-to, opinion, and video. On big data analysis using the AMPLab software stack, including Spark, Shark, and Mesos. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, using Spark-based data platforms for fast, interactive analysis on big data. If the past is a guide, the state will embrace big data for its own uses (both good and ill). Hadoop and Big Data Webinars from MapR. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Big Data Analytics Survey: How Enterprises are REALLY Using Big Data Presentation: Bigger Than Any One -- Solving Large-Scale Data Problems with and analysis of a few hundred Data Science practitioners from around the world. Making the Most of Big Data with Advanced Analytics Full Speed Ahead: Hadoop and Spark for Big Data Applications helped with large scale analysis of web logs, social media sentiment, sensor data, Crowd Sourcing Reflected Intelligence Using Search and Big Data.