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Apache Spark and Hadoop Traning and Big Data Courses for Company Business

Apache Spark and Hadoop Traning and Big Data Courses for Company Business

E-learning: Apache Spark and Hadoop Traning and Big Data Courses for Company Business

The development of Apache Spark, Hadoop and Big Data technologies knowledge takes an important place in improving company business and company staff technical knowledge, as well as making your life easier. Over the last year, Big Data became popular topic all over the world. However, data in its original form is worthless without the simultaneous development of large storage capacity, scalable processing power and sophisticated software to process this data. Furthermore, the path from data to value is long and requires special knowledge and skills. Employees are still the ones who create value, while big data technologies are enabling factor and support. As Geoffrey Moore said, “Without big data, you are blind and deaf and in the middle of a freeway”.

What is Big Data?

Big Data represents a large amount of data with high-speed data processing.
Moreover, there are three dimensions of Big Data:
Volume — a high-speed growth of new data and fast storage of the existing data. As a result, hundreds of terabytes are stored and this number grows every minute.
Variety — it is no longer sufficient to keep only structured data, but also images, data from social networks, blogs.
Velocity — the speed of incoming data is larger and greater than the speed of data processing. For marketing leaders, Big Data represents the realization of a decade-long dream. It's a part of the puzzle that is essential in modern business.

What are Big Data courses?

These training courses provide you numerous lessons for overcoming Big Data software such as Hadoop or Apache Spark. In fact, you can approach them at any time and any place.
Some of the most recognizable Big Data courses are Hadoop training course and Apache Spark training course.

Hadoop Training Course

Hadoop allows you to storage and calculates a large number of data quicker than any traditional software. In short, Hadoop is an open-source framework of Apache Foundation. It runs on commodity hardware, or on inexpensive hardware resources. It provides you cheap and fast data processing. It is written in the Java program language. This course will basically do everything for you (adjustment operations, correcting mistakes and other jobs). Hadoop training course consists of four parts:
Hadoop Common — a set of libraries and configuration files.
HDFS Hadoop -is a distributed file system, which is responsible for the storage of data in the cluster. This file system stores data in the form of blocks and copies it in three copies through the cluster. In that case, if there is a failure of a machine, there are two copies left.
MapReduce — is an algorithm for parallel processing of data.
YARN — an operating system responsible for resource allocation and management.
This course is very helpful for marketing companies, banking and retails. It will surely help you to make better decisions. Besides these four components, Hadoop relies on its ecosystem.
For additional information visit Develop Intelligence Hadoop Course

Apache Spark

Next to Hadoop, the most popular Big Data technology is Apache Spark. Apache Spark is a platform for data processing, with additional modules for SQL, streaming, and graph processing. Also, this tool performs processing in working memory, which means that it is faster than Hadoop. If data doesn’t fit in memory, Spark will transfer it to hard disk. The list of programming languages is smaller than Hadoop lists, but it is much easier to write applications for Spark. Spark is written in Scala.
For additional information visit Develop Intelligence Apache Spark Course

As a conclusion, this is definitely just the beginning of Big Data projects. In addition, Hadoop and Spark will be long applied in the implementation of Big Data solutions. We have entered an era where data is gold. Banks, advertising agencies, medical facilities, and factories are just the beginning of potential beneficiaries of Big Data applications.

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