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What is Big Data?
Big data refers to large amounts of structured, semi-structured, and unstructured data. Many businesses are utilizing big data for analysis purposes. Big data analytics is the term for this. The relevance of the statistics would be explained by the company's growth. Big data is being used by organizations to make decisions that will help them reach new heights.
Type of Data
Structured data : This data is in structured form or tabular form. It is stored in the table in rows and columns. It's well-organized and easy to find in the database. All of the employee information would be kept in one place in the industry.
Unstructured data : It is not in any form or structured form. It can be video, audio, images or text data.
Semi-structured data - it is the combination of structured and unstructured data.
Top Tools used for big data assignments
Apache Hadoop : The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.
Big DataYarn : The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs.
Spark : Apache Spark, which is also open source, is a data processing engine for big data sets Just Like Hadoop, Spark splits up large tasks across different nodes. It is faster than Big Data And it uses random access memory (RAM) to cache and process data instead of a file system. This enables Spark to handle use cases that Big Datacannot.
Hive : Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a large scale. A data warehouse offers a central store of information that can easily be analyzed to make informed, data driven decisions. Hive allows users to read, write, and manage petabytes of data using SQL.
Pig : Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Cassandra : Apache Cassandra is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance
Tableau : Tableau helps people see and understand data. Our visual analytics platform is transforming the way people use data to solve problems.
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