Big Data Skills NoSQL Retail 
ProjectPro
OCTOBER 3, 2016
Hadoop has gained popularity in the big data space for large scale data mining and building features like recommendations and personalizations that account for the profitability of a company.All this comes at the cost of Hadoop developers, lots of hardware and IT personnel.
ProjectPro
JUNE 30, 2016
Indian Big Data Analytics Market worth 2+ Billion By 2017-2018, India alone will be a major shareholder of the overall big data analytics market worth $2.3 ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner These average salaries are merely big data skills like hadoop and spark.
ProjectPro
MAY 23, 2015
With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world.
ProjectPro
JUNE 29, 2016
As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.
ProjectPro
MAY 19, 2015
Thus, professionals must learn Hadoop to ramp up on the big data technology as Hadoop is soon going to be identified as a must have skill by all big data companies. ” A researchreport by Markets and Markets Research anticipates that Hadoop and Big Data Analytics market will reach close to $13.9
ProjectPro
APRIL 29, 2015
Hadoop is expected to be the hottest new IT skill, read on to understand why Hadoop Certification and online hadoop training is essential for individuals to accelerate their big data career. Hadoop certification allows individuals to highlight their knowledge and skills to their customers and employers.
ProjectPro
JANUARY 31, 2023
This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.
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