by Angela Guess Forbes contributor Bernard Marr recently wrote, “It’s easy to get caught up in the hype of big data. Huge datasets, fast-moving analytics, complex and diverse data sources are hot right now, but it’s important to understand that big data would be nothing without the little data that goes along with it. Little […]
The Data Provocateur: Providing Data-Driven Success to the Enterprise
“Most data is bad in most companies,” said Thomas Redman, “the Data Doc,” of Data Quality Solutions in a recent DATAVERSITY® interview. Enterprises are buried in data, whether it’s legacy data floating around in old data warehouses or a seemingly incalculable range of newer Big Data assets sitting in any number of NoSQL database platforms, […]
Will Big Data Lead to Too Much Control
Much of the talk surrounding Big Data relates to its benefits, and to be sure, Big Data has the potential to provide big boosts for all companies and organizations looking to use it. Big Data, however, brings with it lots of questions over how it is currently being used and how it will be used […]
Why Some of the Biggest Names in Big Data are Open Source
by Angela Guess Hannah Augur recently wrote in Dataconomy, “The biggest names in data are open source. Many of them are even part of the same Apache family: Spark, Hadoop, Kafka, Cassandra. RapidMiner and Orange are there for data mining, and open source databases are chipping away at Oracle. Though closed source databases are still […]
62% of Organizations Expect to Implement Machine Learning to Big Data by 2018
by Angela Guess A recent article out of the company reports, “SoftServe, a leading global technology solution provider, today revealed findings from its Big Data Survey indicating that 62% of medium to large organizations expect to implement machine learning for Business Analytics purposes within the next two years. The research, conducted for SoftServe by Vanson […]
4 Key Elements of a Strong Big Data Infrastructure
by Angela Guess Bernard Marr recently wrote in Forbes, “Big data can bring huge benefits to businesses of all sizes. However, as with any business project, proper preparation and planning is essential, especially when it comes to infrastructure. Until recently it was hard for companies to get into big data without making heavy infrastructure investments […]
Expanding Data Science Skills to Meet the Needs of Big Data
by Angela Guess Aaron Auld recently wrote in ITProPortal, “Today data scientists can be deprived of their strengths when moving to larger datasets – datasets in the realm of ‘big data’ – because large scale tools are too inflexible to support the data science style of working. Michael Stonebreaker, winner of the Turing Award 2014. […]
5 Considerations Surrounding Big Data Risks
by Angela Guess Chael Christopher of NewVantage Partners recently wrote in Datamation, “Not much of consequence happens without risk. As more organizations realize the value of Hadoop while they look to adopt big data into their technology portfolio, they also need to consider the inherent potential for negative consequences. Big data has opened up a […]
Microsoft is Buying LinkedIn for $26.2B, Expanding Its Big Data Reach
by Angela Guess Conner Forrest reports in TechRepublic, “On Monday, Microsoft announced that it will be purchasing LinkedIn, the social network for professionals, for $26.2 billion. The all-cash deal will bolster Microsoft’s social media presence among professionals and could potentially give LinkedIn more analytics resources. In the official press release announcing the acquisition, it was […]
Combining Art and Science: Big Data Marketing
by Angela Guess Bernard Marr recently wrote in Data Informed, “Many people believe that great marketing is an art form, but lately big data has added a serious dose of science into the mix. Smart marketers are now relying on data more than ever before to inform, test, and iterate their strategies. And even though […]