4 Trends for Big Data Hadoop in 2016
Nowadays more peoples doing more with data – Trends for Big Data Hadoop.
NoSQL technologies, is commonly associated unstructured data. They moved to databases NoSQL with leading pieces of enterprise landscape has becomes cleared by benefits schema with database concepts.They dominated by IBM, Oracle , SAP and Microsoft.
2. Hadoop Projects Matures
Hadoop enterprise continue their moves from Hadoop proof of concepts to production. In the recent survey 2,200 big data Hadoop customer’s, 3% of the respondents anticipated and 76% they have already hadoop planners.They are planning to do it within 3 months.There are more types of customers they accept grade the RDBMS platform. Hadoop training will teach you all the upcoming concept of big data.
3. Apache Spark make visible big data
Apache Spark changed the being component of Hadoop ecosystem platform to big data hadoop platform by choosing number of enterprise. Apache Spark are providing severely increased processing data speed compared with Hadoop. New large big data open source project, where Spark has become the big data analytics. The apache spark has became the big data .
4. Big data gets faster: add speed to Hadoop
Hadoop is more fast traction has been enterprise, there will have more growing demand from the end users for same fast data exploration capabilities. They have come to expect from traditional data warehouses.
To meet that end-user demand, such as AtScale, Cloudera Impala, Jethro Data and Actian Vector that are enable the business user ,for Hadoop will grow.
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