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Big Data Systems Architecture with Apache Hadoop and Spark

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Big Data Systems Architecture with Apache Hadoop and Spark

Learn the fundamentals of storing and analyzing unstructured data using the Hadoop and Spark ecosystem

Udemy Coupon Codes

Apache Hadoop and Apache Spark are open-source big data processing frameworks that are widely used in the industry for storing, processing, and analyzing large amounts of data.

Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model. It consists of the Hadoop distributed file system (HDFS), which is a distributed file system that can store large amounts of data, and the MapReduce programming model, which is a framework for writing applications that can process large amounts of data in parallel.

Spark is a fast, in-memory data processing engine that can be used for a wide range of big data processing tasks, including batch processing, stream processing, machine learning, and graph processing. It is designed to be faster and more flexible than Hadoop, and can process data in memory rather than reading and writing to disk, which makes it well-suited for iterative machine learning algorithms and interactive data exploration.

In a big data system architecture that uses Hadoop and Spark, Hadoop is often used for batch processing of large data sets, while Spark is used for real-time stream processing and interactive data analysis. These two frameworks can be used together in a big data system architecture, with Hadoop handling the storage of large amounts of data and Spark providing fast, in-memory processing of that data.

Overall, Hadoop and Spark are important tools for building big data systems and have been widely adopted in the industry for storing, processing, and analyzing large amounts of data.

What you'll learn

  • What is Big Data and why it is challenging to deal with
  • How data can be stored and used in an organizations
  • What different tools are available for storing and computing on data
  • What is the difference between Big Data tools and none Big Data tools
  • How to setup a data pipeline in an organization
  • How to go about your job search in the IT field (resume and interview workshop)
  • How different Big Data fileformats can be used to speed up analysis
  • What is Apache Spark and how it compares to the Hadoop ecosystem?
  • How to use Apache Spark structured API (DataFrames, Datasets, SQL) to do data analysis

Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.