Top 7 Trends in Big Data for 2015

The wave of innovation in all industries touching data is far from over. At Tableau we’re always interested in innovative technologies and how they’re providing value to customers. Once a year we step back to take stock of the big changes in the world of data. These are the trends that stand out to us for 2015.

1. Big Data Gets Cloudy
2. ETL Gets Personal
3. SQL or NoSQL, that is the question

We've also pulled out the first several pages of the whitepaper for you to read. Download the PDF on the right to read the rest.

1. Big Data get's Cloudy

The cloud is everywhere, and we will continue to see adoption at extreme volumes.And big data is driving a lot of clouds growth: Revenues for the top 50 public cloud providers shot up 47% in Q4 of 2013 to $6.2B according to Technology Business Research. Amazon Redshift and Google Big Query are growing dramatically.Database players like Teradata are also jumping in the game.

Further Reading: Explore Big Data Analytics with Amazon Redshift

2. ETL Gets Personal

It has been suggested that 80% of an analyst’s time is spent on data prep, while only 20% is spent looking for insights. Enter the personal data cleansing tools focused on the analyst. Tools like Trifacta, Alteryx, Paxata and Informatica Rev are making data preparation easier to use with less technology and infrastructure required to support it.

Stanford: Wrangler: Interactive Visual Specificationof Data Transformation Scripts

3. SQL or NoSQL, that is the Question

Some may think that the jury is still deliberating, but NoSQL is making a mark in the industry. NoSQL was founded to provide scale, flexibility, and the ability to leverage large sets of data faster. Companies like MarkLogic, Casandra, Couchbase, and MongoDB are bringing new innovation to the SQL database market and are doing quite well with large production implementations in surprising places.

See a debate from two experts: What's better for your big data application, SQL or NoSQL?