How AI Can Be Big Data's Best Friend

We are creating so much data. In fact, a recent Cisco report indicates that by 2021, data center storage installed capacity will grow to 2.6 ZB, up from 663 EB in 2016, nearly a 4-fold growth. Furthermore, globally, the data stored in data centers will nearly quintuple by 2021 to reach 1.3 ZB by 2021, up 4.6-fold from 286 EB in 2016. Finally, driven by the Internet of Things and even more connected devices, the total amount of data created (and not necessarily stored) by any device will reach 847 ZB per year by 2021, up from 218 ZB per year in 2016. This indicates that data created is two orders of magnitude higher than data stored.

 

That same report shows that big data will reach 403 EB by 2021, up almost 8-fold from 25 EB in 2016. Big data alone will represent 30 percent of data stored in data centers by 2021, up from 18 percent in 2016.

As you look at your data center and storage solutions, it’s important to really take a step back and understand your own data and big data strategies. It’s one thing to just store this data have have some basic big data analytics capabilities. It’s an entirely different story when you begin to incorporate advanced data solutions like AI, machine learning, and even natural language processing. It’s at this point that you’re not just leveraging data, you’re helping your business learn with it. Most of all, solutions like AI allow you to derive value out of information.

Smart data warehousing allows you to streamline data utilization. Modern data warehousing solutions can deliver a set of pre-integrated, cloud-based analysis tools through a Data Apps framework, which is easily extendable to your own tools and platforms.

So, how are you storing your data? Do you have a simple big data engine that helps you create a report or two or should you actually be leveraging something better? New solutions around smart data warehousing allows you to create data visualization to really understand what your data is doing and how you can better put it to work.

Consider these three big benefits:

  • AI and machine learning help you integrate and work with more data sources. Smart data warehousing solutions leverage machine learning and AI to automatically aggregate data as it streams in. This allows you to analyze everything in seconds – regardless of scale, and without data configuration, schema, or modeling.
  • Transform and leverage data, in real-time. Powerful data warehousing and management systems leverage common transformations automatically, including the identification of data formats like CSV, TSV, JSON, XML, and many log formats – and flattens nested structures like lists and objects into different tables with a one-to-many relationship. Here’s the other cool part: remodeling and reindexing are also automatic processes, taking place whenever the system detects changes in query patterns. This kind of data intelligence engine uses statistical analysis to identify the columns and tables that are used most frequently in filters and group-bys, and uses that information to rebuild indexes.
  • Smart data warehousing allows you to streamline data utilization. Modern data warehousing solutions can deliver a set of pre-integrated, cloud-based analysis tools through a Data Apps framework, which is easily extendable to your own tools and platforms.

Leading data analytics solutions will actually expose a standard JDBC endpoint with ANSI-SQL support. This provides plug-in support to your Tableau, Spark, or R analytics tools. The platform can also allow you to write your own SQL code and build apps on top of the data.

"AI promises to be the most disruptive class of technologies during the next 10 years due to advances in computational power, volume, velocity and variety of data, as well as advances in deep neural networks (DNNs)," said John-David Lovelock, research vice president at Gartner.

Remember...

the point here isn’t just to leverage and work with big data solutions. Rather, look for powerful systems which integrate learning engines to make your data work for you. AI, machine learning, and natural language processing are the next-generation in helping you work with data analytics and data visualization. Most of all, it’s these solutions which will help you make even better decisions for your business.

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