Big Data
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Apache Spark & Scala: A Concise Tutorial Just An Hour – FREE
SCALA is a statically typed programming language that incorporates both functional and object-oriented programming. It primarily runs on the JVM platform, but it can also be used to write software for multiple platforms, including native platforms using Scala-Native and JavaScript runtimes through ScalaJs. Apache Spark Apache Spark is a...
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Apache Impala: A Concise Tutorial Just An Hour – FREE
Impala is the open source, native analytic database for Apache Hadoop. It is shipped by vendors such as Cloudera, MapR, Oracle, and Amazon. The examples provided in this tutorial have been developing using Cloudera Impala Apache Impala Apache Impala is a massively parallel processing query engine that executes on Hadoop platform. It is an...
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Apache Pig: A Concise Tutorial Just An Hour – FREE
Pig is a high-level programming language useful for analyzing large data sets. A pig was a result of development effort at Yahoo! In a MapReduce framework, programs need to be translated into a series of Map and Reduce stages. However, this is not a programming model which data analysts are familiar with. So, in order to bridge this gap,...
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Advanced Apache Storm Concepts: A Concise Tutorial Just An Hour – FREE
Apache storm is an open source distributed system for real-time processing. It can process unbounded streams of Big Data very elegantly. Storm can be used with any language because at the core of Storm is a Thrift Definition for defining and submitting topologies. Thrift can be used in any language and topologies can be defined and submitted from...
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Apache Storm: A Concise Tutorial Just An Hour – FREE
Apache storm is an open source distributed system for real-time processing. It can process unbounded streams of Big Data very elegantly. Storm can be used with any language because at the core of Storm is a Thrift Definition for defining and submitting topologies. Thrift can be used in any language and topologies can be defined and submitted from...
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Hadoop Mapreduce: A Concise Tutorial Just An Hour – FREE
Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. The Hadoop framework application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from...
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How to Become a Hadoop Developer? [ Job & Future ]
Hadoop Developer is the most aspired and highly-paid role in current IT Industry. This High-Caliber profile takes superior skillset to tackle with gigantic volumes of data with remarkable accuracy. In this article, we will understand the job description of a Hadoop Developer. Who is a Hadoop Developer? Hadoop Developer is a professional...
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Hive Cheat Sheet: Complete Guide Tutorial For Free | CHECK-OUT
Hive is a data warehousing infrastructure based on Apache Hadoop. Hadoop provides massive scale out and fault tolerance capabilities for data storage and processing on commodity hardware. Hive is designed to enable easy data summation, ad-hoc querying and analysis of large volumes of data. It provides SQL which enables users to do ad-hoc...
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What is Spark Algorithm & Tutorial? Defined, Explained, & Explored
Spark Programming is nothing but a general-purpose & lightning fast cluster computing platform. In other words, it is an open source, wide range data processing engine. That reveals development API’s, which also qualifies data workers to accomplish streaming, machine learning or SQL workloads which demand repeated access to data sets....
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Apache Spark: A Concise Tutorial Just An Hour – FREE
Apache Spark tutorial provides basic and advanced concepts of Spark. Our Spark tutorial is designed for beginners and professionals.Spark is a unified analytics engine for large-scale data processing including built-in modules for SQL, streaming, machine learning and graph processing.Our Spark tutorial includes all topics of Apache Spark with...
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