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Category: Big Data and Hadoop

Social Media Analysis Using Apache Flink

Social media Analysis using Flink
In this post, we will be looking at a case study to calculate the average number of friends based on their age, on a social media website using Apache Flink in Scala. In our previous post, we had a brief introduction to Flink. Hence, we request you to go...
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Introduction to Hbase Filters

Introduction to HBase Filters
In this post, we will be discussing the need for Filters in HBase architecture and its working. Before moving further, to know more about HBase Filters, we should first know why HBase came into the picture and how it overpowered the use of RDBMS architecture to handle Big data....
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6 Undeniable Reasons to Learn Hadoop

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The Hadoop market is undergoing phenomenal growth and continues to show steep growth rate. Looking at the current growth, it wouldn’t be an exaggeration to say that Hadoop is the best option that is cost-effective as well as scalable, open source substitute for commercially available Big Data management suites. Hadoop...
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Beginner’s Guide for Apache Flink

Introduction to Apache Flink
In this post, we will be discussing Apache Flink, its installation in a single node cluster and how it is a contender for the present Big Data frameworks. Let’s begin with the basics. What is Apache Flink? Apache Flink is an open-source platform for distributed stream and batch data...
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Working Of Apache Thrift In Hive Server

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As we know, Apache Hive is a data warehouse software that facilitates reading, writing and managing large data sets residing in distributed storage using SQL. Let’s consider a scenario, where the user is looking forward to performing an operation on Hive server, and the Hadoop cluster or Hive software...
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TSDB installation in linux

Open TSDB installation in Linux
OpenTSDB is a distributed, scalable monitoring system. It consists of a Time Series Daemon (TSD) as well as set of command line utilities. OpenTSDB is designed as a time series database on top of Hbase. It has a full application layer for querying and processing data as well as...
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Read and Write Operations in HBase

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HBase is the open source implementation of Google’s Big Table, with slight modifications. HBase was created in 2007 and was initially a part of contributions to Hadoop which later became a top level Apache project. It is a distributed column-oriented database built on top of the Hadoop file system...
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Introduction to the Working Components of HBase

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It is important for learners to understand the components of any architecture. In this post, we will be looking at HBase and its components, and what happens when a client machine sends a request. It’s best to look at these posts on Beginners Guide to HBase and the DML/CRUD...
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