Top 5 Trends in Big Data & Analytics
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In 2016, big data and analytics trends continue to evolve, with increased adoption of NoSQL databases and rapid implementation of Apache Spark across various industries. Cloud data warehousing is gaining traction, particularly with Amazon Redshift and competing offerings from Google and Microsoft, facilitating dynamic scaling for businesses. The business intelligence industry is becoming more competitive, leveraging open source tools and advanced visualization platforms to meet growing analytical demands.
Top 5 Trends in Big Data & Analytics
- 1. TOP 5 TRENDS IN BIG DATA & ANALYTICS
- 2. 2015 was an interesting one in the area of big data and analytics. What used to be buzz words in conference and talk shows became the norm as more companies realized that data, in all forms and sizes, is critical to making the best business decisions. Now in 2016, we’ll see continued growth of tools that support non-relational or unstructured forms of data as well as huge volumes of data. These systems will evolve and mature to operate well inside of enterprise IT systems and standards. This will enable both business users and data scientists to fully realize the value of data in all forms. This document will discuss on top 6 big-data trends which will take big-data industry by strong in 2016. Introduction
- 3. The NoSQL Acceptance InThe Enterprise In 2015 we witnessed increased adoption of NoSQL technologies, which are commonly associated with unstructured data. Going forward, the shift to NoSQL databases is becoming a leading piece of the Enterprise IT Landscape, as the benefits of schema-less database concepts become more pronounced. Gartner’s Magic Quadrant report 2106, we see the NoSQL companies, including MongoDB, DataStax, Redis Labs, MarkLogic and Amazon Web Services (with DynamoDB), outnumbering the traditional database vendors in Gartner’s Leaders quadrant of the report.
- 4. Apache Spark LeadingTheWay Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes. It has quickly become the largest open source community in big data.
- 5. Enterprises continue their move from Hadoop Proof of Concepts to Production In a recent survey of 2,200 Hadoop customers, only 3% of respondents anticipate they will be doing less with Hadoop in the next 12 months. 76% of those who already use Hadoop plan on doing more within the next 3 months and finally, almost half of the companies that haven’t deployed Hadoop say they will within the next 12 months. We see growing adoption of technologies such as Cloudera Impala, AtScale, Actian Vector and Jethro Data that enable the business user’s old friend, the OLAP cube, for Hadoop – further blurring the lines behind the “traditional” BI concepts and the world of “Big Data” Hadoop Implementation’s Matures!
- 6. Enterprises continue their move from Hadoop Proof of Concepts to Production Hadoop Implementation’s Matures!
- 7. Data Warehousing Heating up in Cloud TeqForce see a major shift in Data Warehousing, Amazon is leading the way with an on-demand cloud data warehouse called Redshift. Redshift was AWS’s fastest growing service but it now has competition from Google with BigQuery, offerings from long time data warehouse power players such as Microsoft (with Azure SQL Data Warehouse) and Teradata along with new start-ups such as Snowflake, winner of Strata + Hadoop World 2015 Startup Showcase, also gaining adoption in this space. Analysts say 90% of companies who have adopted Hadoop will also keep their data warehouses and with these new cloud offerings, those customers can dynamically scale up or down the amount of storage and compute resources in the data warehouse relative to the larger amounts of information stored in their Hadoop data lake.
- 8. The Competition in BI industry is Heating up Data analysis is a do-or-die requirement for today's businesses Revolutionary. That pretty much describes the data analysis time in which we live. Businesses grapple with huge quantities and varieties of data on one hand, and ever-faster expectations for analysis on the other. Open source tools like JasperSoft BI Suites, Pentaho Business Analytics helps producing reports from database columns and is widely getting used in enterprise board meetings. Tableau & Qlik are leading the way in Data visualization with both Desktop and server based BI tools.
- 9. The Competition in BI industry is Heating up
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