Monday 6 July 2015

WebTek Labs – A Way of Making a Career as a Data Developer

The big data and Hadoop training program is included by many training institutions because big data trainings open up huge career opportunities in the data-configuration process. Trainings in big data are highly important in light of the ever-increasing need for data analysis. WebTek Labs brings an effective opportunity to learn the process of data handling with its big data training in Hyderabad.

In this digital age, the conventional data-analyzing process is not enough in indexing and distributing a large set of data because of the increasing space of digital communications. As the usage of the Internet grows day by day, a voluminous amount of data gets collected. Companies and organizations are in need of data analyzers who can process unstructured, voluminous data to convert it into logical portions, which in turn can be used for taking vital decisions for the benefits of the company.

WebTek Labs enhances the comprehension about the data-analyzing process by introducing Hadoop and big data training programs.  Hadoop is an open-source software, which is used in creating data models during the process of data analysis.As far as the usage of Hadoop is concerned; it mainly provides the technical support required for storing and processing data. WebTek Labs’ big data and Hadoop trainings in Hyderabad explain the data-handling process, both in technical and analytical ways.

WebTek Labs designs big data and Hadoop training programs that do not hinder learning owing to a student belonging to either a technical or a non-technical background. Further, these programs coverall the essential concepts of big data and Hadoop, for example:

Hadoop architecture
Hadoop deployment
Hadoop Distributed File System (HDFS)
MapReduce

Other than its Hyderabad institution, WebTek Labs has also established institutions in three other cities: Kolkata, Delhi and Chandigarh. Big data and Hadoop training in Hyderabad offered by WebTek Labs provide an effective, cognitive infrastructure for the data-handling process.

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