Hadoop training institute in vasundhara
Hadoop is an open source software framework for storing data and running applications in basic hardware clusters. It provides massive storage for any type of data, enormous processing power and the ability to handle almost unlimited concurrent tasks or jobs
Hadoop is used by over 12 million people in more than 120 countries. The training ensures that IT professionals, business users and decision makers have the knowledge they need to manage the company easily and effectively. Established in 1999, Webtrackker India is the Hadoop Authorized Training Center in vasundhara
History of Hadoop
As the World Wide Web grew in the late 1900s and early 2000s, search engines and indexes were created to help locate relevant information in the midst of text-based content. In the first years, the search results were returned by humans. But as the web grew from dozens to millions of pages, automation was needed. Web crawlers were created, many as research projects run by universities and search engines were launched.
One of those projects was an open source web search engine called Nutch, a creation of Doug Cutting and Mike Cafarella. They wanted to return web search results faster by distributing data and calculations between different computers so that multiple tasks could be performed simultaneously. During this time, another search engine project called Google was in progress. It was based on the same concept: store and process data in a distributed and automated way so that relevant web searches results could be returned more quickly.
In the way 2006, Cutting joined Yahoo and took the Nutch project with them, as well as ideas based on Google's early work with the automation of distributed data storage and processing. Nutch's project was divided: the web crawler part remained as Nutch and the distributed computing and processing portion became Hadoop (named after the Cutting's son's toy elephant). In 2008, Yahoo launched Hadoop as an open source project. Currently, the non-profit Apache Software Foundation (ASF), a global community of software developers and collaborators, manages and maintains the framework and ecosystem of Hadoop technologies.
Why is Hadoop important?
Ability to store and process large quantities of any type of data, quickly:-With volumes and varieties of data constantly increasing, especially from social networks and the Internet of Things (IoT), that is a key consideration.
Computational power:-The Hadoop distributed computing model processes large amounts of data quickly. The more computing nodes you use the more processing power you will have.
Fault Tolerance:-Data and application processing is protected against hardware failures. If a node goes down, jobs are automatically redirected to other nodes to ensure that distributed computing does not fail. Several copies of all data are stored automatically.
Flexibility:-Unlike traditional relational databases, it is not necessary to preprocess the data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data such as text, images and videos.
Low cost: - The open source framework is free and uses basic hardware to store large amounts of data.
Scalability:-you can easily grow your system to handle more data simply by adding nodes. Little administration is required.
What are the challenges of using Hadoop?
MapReduce programming is not a good option for all problems: - It is good for simple information requests and problems that can be divided into independent units, but is not efficient for iterative and interactive analytic tasks. MapReduce requires a lot of file usage. Because nodes do not communicate with each other, except through arrays and mixes, iterative algorithms require that multiple map / order shift phases be completed. This creates multiple files between the phases of MapReduce and is ineffective for advanced analytical computing.
There is a widely recognized talent gap: - It can be difficult to find beginning programmers who have enough Java skills to be productive with MapReduce. That is one of the reasons why distribution providers are rushing to put relational technology (SQL) on top of Hadoop. It is much easier to find programmers with SQL skills than MapReduce skills. And, the Hadoop administration seems part of the art and partial science, which requires a low level knowledge of the operating systems, hardware and configuration of the Hadoop kernel.
Data security:-another challenge focuses on fragmented data security issues, although new tools and technologies are emerging. The Kerberos authentication protocol is a big step in making Hadoop environments safe.
Management and data management in full rule: - Hadoop does not have complete and easy-to-use tools for data management, data cleaning, governance and metadata. Especially deficient are the tools for data quality and standardization.
If you are looking for the Best Hadoop Training Institute in vasundhara then you can contact to Webtrackker Technology. Because Webtrackker is providing the real time working trainer of all selenium modules for their all students.
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