Data Study

Learning Apache Spark

Apache Spark is an open-source cluster-computing framework. Apart from Spark core, we will also learn about its components such as Spark SQL, Spark Streaming, Mlib and GraphX. Though Spark can be used with Hadoop, it can also be used without. So for most notes, knowlwdge of Hadoop is not required. 

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Elasticsearch And Elastic Stack Essentials

Before going deep on Amazon ElasticSearch Service, we will lstart with learning how to work with the ElasticSearch distribution available from elastic.co in your local machine. Updated notes for cloud are available here.

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RDBMS and SQL Notes

A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model. Structured Query Language (SQL) is a special-purpose programming language designed for managing data held in a RDBMS.

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Getting Started With Apache Hadoop And Ecosystem

Get started learning about Hadoop and its ecosystem components through simple theory and Hands on exercises. 

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Big Data and Data Science Notes

Here I will include notes on Big Data and Data Science concepts in general. There will be separate books on specific technologies like Hadoop.  

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Apache Zookeeper Notes

Apache ZooKeeper is a software project of the Apache Software Foundation, providing an open source distributed configuration service, synchronization service, and naming registry for large distributed systems.

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Apache Kafka Notes

Apache Kafka is an open source publish-subscribe based distributed messaging system. From the architecture perspective, Kafka is closer to traditional messaging systems such as ActiveMQ or RabitMQ. However from a Big Data and Hadoop perspective, Kafka can be compared with Scribe or Flume as it is useful for processing activity stream data.

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Data Warehouse and Data Mining Notes

Data warehouse and data mining were the popular keywords before the rise of Big Data technologies. As we study about all kinds of data and data technologies, we will also have a book for data warehouse and data mining. 

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Virtualization Techniques and Tools

We will discuss the basics of virtualization of computer platforms here. In computing, Virtualization refers to the act of creating a virtual (rather than actual) version of something, including virtual computer hardware platforms, operating systems, storage devices, and computer network resources.