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I am from computer science background. I do HTML5 and CSS but i want to learn Big data or DevOps. I am very much confused about which one to choose and which have a great future. Can anyone suggest?

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Learn Big Data +1 DevOps Training

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Expert Big Data Hadoop Admin

I think you should go for Big Data as it is the most in-demand technology in the industry.
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Trainer

Go for Big data course. We as a Collabera TACT providing training on Big Data Hadoop Developer as well as Administrator. We are providing Google approved training, reach us to get more details. Thanks Vinit Sawant 722-704-8700
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Go through the Career Trajectories. These images explain you in details about how to carve your career in Big Data / Data Science, Cloud Computing.
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Big Data obviously has a great future ahead and it is continuously evolving. DevOps is a field where you should be expert in developing applications using Frontend/Backend programming languages, as well as you should have expertise in S/W Support and maintenance plus deployment experience. So, DevOps...
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Big Data obviously has a great future ahead and it is continuously evolving. DevOps is a field where you should be expert in developing applications using Frontend/Backend programming languages, as well as you should have expertise in S/W Support and maintenance plus deployment experience. So, DevOps requires a lot of technical knowledge and experience and to become a DevOps engineer, you should have hands-on on a variety of technologies viz. Java, Python, Hadoop, SQL, PLSQL, WebServices, NoSQL, deployment tools, Version control tools, etc. Wise decision would be to start with Hadoop and explore the opportunities in Big Data..... Big Data is the future....!! read less
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AWS Cloud Devops Solution Architect

Hi Praveen, Devops activities mainly related to Configuration managemnt related. Like Dev to QA / QA to prod Build moves..Here you have to move DB promotions and App (EAR) and all..SVN maintenance..jenkins/hudsons... these are your activities normally. So, Whatever current growth now, same will be there......
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Hi Praveen, Devops activities mainly related to Configuration managemnt related. Like Dev to QA / QA to prod Build moves..Here you have to move DB promotions and App (EAR) and all..SVN maintenance..jenkins/hudsons... these are your activities normally. So, Whatever current growth now, same will be there... If you are coming to Bigdata side (hadoop), day by day our data size increasing in all most all the domains.. like banking, finance, health care, insurance...etc and lot of unstructute data coming into picture and performance becoming more challenge... to provide solutions for these issues hadoop came into picture.. So, Day by day this is going more faster.... As per my view Bigdata technologies have more demand in future.. Regards Sasidhar read less
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Data Science Training

You can go for Big Data Analytics training with any highly qualified professional who can make statistics understand in a more simple way.
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Lead DevOps Linux AWS Engineer

Hi Praveen, As you have some exposure to development better to go with Bigdata developer I think. DevOps is also very good, but it needs some Linux Administration exposure or experience. In the above Sasidhar is talking about data growing, that is true, but for all information, data will grow but...
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Hi Praveen, As you have some exposure to development better to go with Bigdata developer I think. DevOps is also very good, but it needs some Linux Administration exposure or experience. In the above Sasidhar is talking about data growing, that is true, but for all information, data will grow but where you will store the data, its again on Linux servers, which should be effectively managed by DevOps. read less
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Big Data - Hadoop Trainer

I suggest you to choose Hadoop. If you are comfortable in java programming, go for HDFS and map-reduce. Choose pig/hive if u r comfortable in batabase like Oracle/MySQL etc. In addition, you can can learn spark.
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Ok no problem
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Hadoop Training

bigdata
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Hi, I want to know about the future about Big Data technology. Please advice.
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