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Apache Spark Training and its Benefits in 2020

What is Apache Spark? 

Apache Spark is today one of the most influential and important technologies in the world of Big Data. It is an open cluster computing system, ultra-fast, unified analysis engine for Big Data and Machine Learning. 

Since its launch, Apache Spark has been quickly adopted by companies in a wide range of industries. It has quickly become the largest open source community in big data, with more than 1,000 collaborators from more than 250 technology organizations, making programming more accessible to data scientists. Prwatech is the leading Training institute for apache spark online training Offers apache sparks online courses with our Qualified Industry Certified Experts.

APACHE SPARK BENEFITS

Speed

Spark can be 100 times faster than Hadoop for large-scale data processing by exploiting in-memory computing and other optimizations. It is also fast when data is stored on disk, and currently holds the world record for large-scale disk classification.

Easy to use

Spark has easy-to-use APIs to operate on large data sets. This includes a collection of over 100 operators to transform data and familiar data frame APIs to manipulate semi-structured data. APIs such as Java, Scala, Phyton and R. It is also known for its ease of use when creating algorithms that acquire all the knowledge of very complex data.

A unified engine

Spark comes packaged with top-level libraries, including support for SQL queries, data transmission, machine learning, and graphics processing. These standard libraries increase developer productivity and can be seamlessly combined to create complex workflows.

Apache Spark consists of:

Spark SQL : Structured and semi-structured data processing module. With this you can transform and carry out operations on RDDs or dataframes. Special for data processing.

Spark Core : Core of the framework. It is the base of libraries where the rest of the modules are supported.

Spark MLLib : It is a very complete library that contains numerous Machine Learning algorithms, both clustering, classification, regression, etc. It allows us, in a friendly way, to be able to use Machine Learning algorithms.

Spark Streaming : It is the one that allows the ingestion of data in real time. If we have a source, for example Kafka or Twitter, with this module we can ingest the data from that source and dump it to a destination. Between data intake and its subsequent dumping, we can have a series of transformations.