Tableau Software will release a big update to its business intelligence software in the coming weeks, promising that customers will be able to spend more time on data analysis and less on "data wrangling."
Databricks wants to make it possible to take humans out of the loop entirely when it comes to running complicated data analysis jobs.
The R programming language continues to permeate the big data environment. Data analysis platform provider 1010data has added R to its arsenal, allowing its many enterprise customers to interrogate their data with the statistics-oriented programming language.
A bumper crop of new analytics tools has arrived for business users over the past few weeks, and on Tuesday SAP rolled out two fresh examples. Both promising simplicity and usability for non-experts, SAP Predictive Analytics 2.0 offers updated capabilities for enterprises seeking insight into large volumes of data such as from the Internet of Things, while a new Edge edition of SAP's Lumira tool targets small and medium-size businesses with data-discovery features.
Organizations that want to extract more intelligence from their Hadoop deployments might find help from the relatively little known Tajo open source data warehouse software, which the Apache Software Foundation has pronounced as ready for commercial use.
IBM has acquired computing services provider AlchemyAPI to broaden its portfolio of Watson-branded cognitive computing services.
Scan through the news announcements in the world of enterprise software lately, and there's a good chance you'll notice an overriding theme. It focuses on analytics, and it's all about putting the power of that once-highly specialized function within the hands of a broader spectrum of business users.
Capturing public conversations around the world in real time, Twitter could be a valuable source of intelligence for the business world, so IBM is creating new ways to derive potentially valuable information from this massive, sprawling data set.
Apache Spark, <a href="http://www.infoworld.com/article/2852235/hadoop/review-spark-lights-a-fire-under-big-data-processing.html?nsdr=true">the big data processing technology for iterative workloads</a> that is growing in popularity, is about to add capabilities for DataFrames and the R language as part of two upcoming upgrades.
One of the core challenges in any big-data effort is combining data from multiple sources and turning it into something useful.
Bowing to customer pressure, enterprise software and services vendor Pivotal will release as open source the remainder of its software suite for analyzing data.
A number of the largest big data vendors, including IBM, Hortonworks and Pivotal, have banded together to specify a unified base platform for the open source Hadoop data processing software.
Hewlett-Packard has devised a way to run programs written in the R statistical programming language against data sets that span more than one server, potentially paving the way for large-scale, real-time predictive analytics.
Big data may have just crested the wave of inflated expectations and be barrelling towards the trough of disillusionment, at least if you're following along with the Gartner Hype Cycle.
If you use Siri, Netflix or even Google AdWords, you've already sampled machine learning, whether you realize it or not. Such technology can help companies figure out what you want, what you like, and what you might like in the future.