Looker, the business intelligence platform that is powering data-driven companies, announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives, significantly eliminating the time, expertise, and the cost burdens of moving the data.
IBM (NYSE: IBM) announced a broad expansion of its Cloud Data Services portfolio with more than 25 services now available on the IBM Cloud. They are designed to help developers build, deploy and manage web and mobile applications and enable data scientists to discover hidden trends using data and analytics in the cloud.
As the 2016 Super Bowl approaches, many are asking whether 39-year-old Peyton Manning can still win the game. Using Tableau Public, data author Jess Minton provides a useful data visualization that includes QB performance statistics by age.
According to a new report published by Allied Market Research titled, “World Hadoop Market – Opportunities and Forecasts 2014–2021,” the global Hadoop market is expected to garner revenue of $84.6 billion by 2021, registering a CAGR of 63.4% during 2016 to 2021.
Our friends over at InData Labs with support of Datasia.hk provides our Visualization of the Week with an interactive map of Hong Kong that visualizes all the Instagram activity of the city. The map is telling a story about life in Hong Kong by showing who posts what and from which locations.
Redis Labs, the home of Redis, today announced its integration with Spark SQL and the release of the Spark-Redis connector package. Redis Labs’ benchmarks using time-series data show that running Spark on Redis as a data store results in 135 times faster processing compared to Spark using HDFS.
As more and more people seek avenues into data science as a profession, our Visualization of the Week offers a compelling high-level summary of the data science degree programs around the country.
In observance of Hadoop’s 10 year anniversary, I recently caught up with Sean Suchter, CEO and cofounder of Pepperdata, to reflect back on the past decade of Hadoop as well as take a look to the future.
In the past couple of years, we here at the insideBIGDATA brain trust have noticed a significant upward trend for all that is machine learning – technology, vendors, applications, tools, use cases, educational resources, and much more. Machine learning is a facilitator of both data science and big data. As a result, we’re excited to announce a new direction here at insideBIGDATA.
ClearStory Data, the company bringing business-oriented Data Intelligence to everyone, announced advancements and core improvements in the upcoming release of its native Apache Spark platform. With Apache Spark 1.6, ClearStory further boosts fast exploration of insights on big, diverse data when business users need unrestricted data discovery and free-form exploration to answer new questions.