Is there a job related to Hadoop or big data in TCS?

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There is a separate Business Unit in TCS dealing with digital technologies called DESS (Digital Enterprise Service solutions). Under the DESS Umbrella, there is a group called the ABIM (Analytics, Big Data and Information Management) which exclusively deals with Big Data problems and solves them using...
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There is a separate Business Unit in TCS dealing with digital technologies called DESS (Digital Enterprise Service solutions). Under the DESS Umbrella, there is a group called the ABIM (Analytics, Big Data and Information Management) which exclusively deals with Big Data problems and solves them using tools such as Apache Hadoop, Storm and Spark. read less
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My name is Rajesh , working as a Recruiter from past 6 years and thought to change my career into software (development / admin/ testing ) am seeking for some suggestion which technology I need to learn ? Any job after training ? Or where I can get job within 3 months after finishing my training programme- your advices are highly appreciated
Mr rajesh if you want to enter in to software Choose SAP BW AND SAP HANA because BW and HANA rules the all other erp tools next 50 years.it provides rubust reporting tools for quicker decesion of business It very easy to learn
Rajesh
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I want to pursue career in Data Analyst i.e. Hadoop, currently working in testing professional from last 4 year. Please let me know what�s the opportunity and is my work experience is considerable in Hadoop. Also let me know what need to be prepare for that. Please guide me. Thanks in advance.
Sachin, YEs your work experience will consider as total IT experience. But you need to prepare BigData Hadoop analytic from scratch(start-to end). That means you need to know Hadoop as BigData Hadoop developer...
Sachin
Should Cloudera or MapR be used for Hadoop distribution?
Cloudera is preferred as MapR is discontinued and Cloudera offers strong support and integration.
Chandra
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What are the biggest pain points with Hadoop?
The biggest pain points with Hadoop are its complexity in setup and maintenance, slow processing due to disk I/O, high resource consumption, and difficulty in handling real-time data.
Anish
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6

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