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Unravel Data 2019 Predictions: What's Next for Big Data, Hybrid Cloud, Machine Learning, and More

Industry executives and experts share their predictions for 2019.  Read them in this 11th annual VMblog.com series exclusive.

Contributed by Kunal Agarwal, CEO of Unravel Data

What's Next for Big Data, Hybrid Cloud, Machine Learning, and More

Today, every business is on the path to becoming a data business. Companies use data to create new products, improve operations and provide their customers with a personalized experience - and big data applications such as machine learning, artificial intelligence, data analytics, and business intelligence are behind this fundamental change and shift in value. Looking ahead to 2019, here are some top trends from Kunal Agarwal, CEO of Unravel Data, to consider:

  1. The growing emphasis on AI and machine learning will make TensorFlow and H2O breakout technologies in 2019. In addition, Spark and Kafka will continue to see spiking popularity, as they did in 2018.
  2. More big data deployments will move to the cloud as organizations adopt a hybrid cloud strategy. Organizations will continue to realize that big data is better suited for the cloud due its elastic compute requirements.
  3. Multi-cloud deployments will flourish as it gives organizations opportunity to better optimize costs and backup apps. Azure in particular will see surging adoption as it lands more and more Fortune 1000 deals.
  4. There will be growing interest in using persistent and serverless query environments rather than transient environments. As a result, newer SQL engines like Amazon Athena, Google BigQuery, Cloudera Impala, and Apache Presto will continue to see rising adoption. Despite popular myths, these newer SQL engines show that they can offer the same reliability, scalability, and performance of transient execution environments.
  5. M&A transaction volumes will continue to accelerate as cloud business models mature at a rapid pace. Major acquisitions of rising artificial intelligence players will be made in order to provide highly in-demand and scare IP and talent in AI and machine learning. Google and Apple have led the way in acquiring budding AI technologies, and less innovative tech giants will try to mimic their success with purchases of their own.

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About the Author

 

Kunal Agarwal co-founded Unravel Data in 2013 and serves as CEO. Mr. Agarwal has led sales and implementation of Oracle products at several Fortune 100 companies. He co-founded Yuuze.com, a pioneer in personalized shopping and what-to-wear recommendations. Before Yuuze.com, he helped Sun Microsystems run Big Data infrastructure such as Sun's Grid Computing Engine. Mr. Agarwal holds a bachelors in Computer Engineering from Valparaiso University and an M.B.A from The Fuqua School of Business, Duke University.
Published Friday, December 21, 2018 7:19 AM by David Marshall
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