Big Data with Hadoop

What is Hadoop?

Hadoop is an open source, Java based framework used for storing and processing big data. The data is stored on inexpensive commodity servers that run as clusters. Its distributed file system enables concurrent processing and fault tolerance. Developed by Doug Cutting and Michael J. Cafarella, Hadoop uses the MapReduce programming model for faster storage and retrieval of data from its nodes. The framework is managed by Apache Software Foundation and is licensed under the Apache License 2.0.

Who Can Learn Bigdata hadoop

ü  Fresher’s

ü  Professionals in Testing field

ü  Software Developers

ü  Professionals from Analytics background

ü  Data warehousing Professionals

ü  Professionals from SAP BI background.

How Hadoop Improves on Traditional Databases?

Hadoop solves two key challenges with traditional databases:

1. Capacity: Hadoop stores large volumes of data.

By using a distributed file system called an HDFS (Hadoop Distributed File System), the data is split into chunks and saved across clusters of commodity servers. As these commodity servers are built with simple hardware configurations, these are economical and easily scalable as the data grows.

2. Speed: Hadoop stores and retrieves data faster.

Hadoop uses the MapReduce functional programming model to perform parallel processing across data sets. So, when a query is sent to the database, instead of handling data sequentially, tasks are split and concurrently run across distributed servers. Finally, the output of all tasks is collated and sent back to the application, drastically improving the processing speed.

Benefits of Hadoop for Big Data

For big data and analytics, Hadoop is a life saver. Data gathered about people, processes, objects, tools, etc. is useful only when meaningful patterns emerge that, in-turn, result in better decisions. Hadoop helps overcome the challenge of the vastness of big data:

1.       Resilience — Data stored in any node is also replicated in other nodes of the cluster. This ensures fault tolerance. If one node goes down, there is always a backup of the data available in the cluster.

2.       Scalability — unlike traditional systems that have a limitation on data storage, Hadoop is scalable because it operates in a distributed environment. As the need arises, the setup can be easily expanded to include more servers that can store up to multiple petabytes of data.

3.     Low cost — As Hadoop is an open-source framework, with no license to be procured; the costs are significantly lower compared to relational database systems. The use of inexpensive commodity hardware also works in its favor to keep the solution economical.

4.     Speed — Hadoop's distributed file system, concurrent processing, and the MapReduce model enable running complex queries in a matter of seconds.

5.       Data diversity — HDFS has the capability to store different data formats such as unstructured (e.g. videos), semi-structured (e.g. XML files), and structured. While storing data, it is not required to validate against a predefined schema. Rather, the data can be dumped in any format. Later, when retrieved, data is parsed and fitted into any schema as needed. This gives the flexibility to derive different insights using the same data.

Exclusive Key factors with Redprism?

Redprism is a best training center for Hadoop given corporate trainings to different reputed companies. In Hadoop training all sessions are teaching with examples and with real time scenarios. We are helping in real time how approach job market, Hadoop Resume preparation, BigData Hadoop Interview point of preparation, how to solve problem in Hadoop projects in job environment, information about job market etc. Redprism provides classroom Training in Noida and online from anywhere. We provide all recordings for classes, materials, sample resumes, and other important stuff. Hadoop Online Training We provide Hadoop online training through worldwide like India, USA, Japan, UK, Malaysia, Singapore, Australia, Sweden, South Africa, and etc. Redprism providing Hadoop Corporate Training worldwide depending on Company requirements with well experience real time experts.

Prime Features why to Join Red Prism?-

·         Industry Expert Trainers with 10-15 years of experience.

·         Course content is curated by best Subject Matter Experts.

·         Practical Assignments.

·         Real Time Projects.

·         Video recording of each and every session.

·         Yours doubts are clarified with 24*7 assistance by our experts.

·         We conduct regular Mock tests and certifications at the end of course.

·         Certification Guidance.

·         Recognized training complete certificate.

·         100% Placement Assistance.

·         Less fees as compared to other institutes.

·         Flexi payment options

·         Scholarship Available

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