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Fundamentals of Apache Spark

Knowledge Hut

Before getting into Big data, you must have minimum knowledge on: Anyone of the programming languages >> Core Python or Scala. Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Basic knowledge of SQL. Yarn etc) Or, 2.

Scala 98
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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59
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Recap of Hadoop News for January 2018

ProjectPro

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0

Hadoop 52
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Recap of Hadoop News for November 2017

ProjectPro

News on Hadoop - November 2017 IBM leads BigInsights for Hadoop out behind barn. IBM’s BigInsights for Hadoop sunset on December 6, 2017. IBM will not provide any further new instances for the basic plan of its data analytics platform. The report values global hadoop market at 1266.24 Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

Hadoop 52
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

It enables analysts and data engineers to “go back in time” and investigate how data looked at specific points, a critical feature for industries with stringent audit requirements, such as finance, healthcare, and e-commerce. They also support ACID transactions, ensuring data integrity and stored data reliability.

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Hadoop Use Cases

ProjectPro

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40
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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 86