People are using computers, smart phones, and laptops with increasing regularity. As a result, businesses are collecting and storing huge amounts of data, or Big Data. Acquiring insights from all this information is a challenge, but is also key to achieving a competitive advantage. Analytics solutions that find unstructured and structured data can help tremendously […]
Dataiku DSS 3.1 Unleashes Visual Machine Learning
by Angela Guess A new release out of the company reports, “Dataiku, the maker of the all-in-one predictive analytics software platform Dataiku Data Science Studio (DSS), has today announced the release of Dataiku DSS 3.1, which now enables transformations in Apache Spark’s Scala, adds additional external integrations, an improved UX interface, and includes 5 machine […]
H2O.ai Unveils Sparkling Water 2.0
by Angela Guess A new article out of the company announces, “H2O.ai, the company bringing AI to business, today announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the enormous popularity of Sparkling Water, H2O.ai’s API for Apache Spark, with additional features and functionality. New features include the ability to interface with […]
Teradata Aster Connector for Spark Drives Data Democracy
by Angela Guess According to a new article out of the company, “Teradata, the big data analytics and marketing applications company, today introduced the Teradata Aster Connector for Spark, an industry-first integration of Apache Spark analytics with Teradata Aster Analytics. The connector enables pre-built analytics functions from both solutions to be executed from Aster Analytics […]
Are Spark and Hadoop Allies, or Are They Enemies?
Click here to learn more about Ariel Amster. Any discussion about big data and the merits of analytics will in all likelihood eventually involve the topics of Hadoop and Spark. This discussion more than often becomes a debate over which is better. After all, both share similarities in that they are both big data frameworks. Many […]
8 Big Data Trends to Watch For
by Angela Guess Tom Phelan, Chief Architect of BlueData, recently wrote in InsideBigData, “Over the next year, a growing number of customers will realize the vast business benefits of Big Data and will deploy Big Data solutions across their organization. Technical innovations, the rise of BDaaS, a shifting approach to data locality, platform convergence and […]
Spark is Catching Up to Hadoop
by Angela Guess Sooraj Shah reports in Computing, “Hadoop and Spark are leading the way as the primary big data processing platforms for organisations in the UK, according to research from Computing. More than 500 people who work in IT responded to a nationwide online quantitative study among companies that have 100 or more employees […]
BlueData Offers New Turnkey Solution for Fast Data with Spark, Kafka, and Cassandra
by Angela Guess According to a new article out of the company, “BlueData, provider of the leading infrastructure software platform for Big Data, today announced a new solution for building real-time data pipelines with Spark Streaming, Kafka and Cassandra. This new turnkey offering is designed for organizations that want to develop and test applications for […]
Apache Spark Continues to Gain Popularity
by Angela Guess Brian Taylor reports in TechRepublic, “Apache Spark continues to attract attention in the big data world, where it’s expected to help drive the next wave of innovation. A survey on Hadoop from big data company Syncsort showed that 70% of survey participants are most interested in Spark, higher even than MapReduce, the […]
Geospatial Data, Hadoop, and Spark
by Angela Guess Jack Vaughan recently wrote in Search Data Management, “As people accumulate big data and then look to do something useful with it, one of the first things they do is put it on a map. It’s a simple first step, but it can be a challenging one. We asked Mansour Raad to […]