
The term “big data” reached its peak on Google Trends back in 2015. Organizations were harvesting more data than ever before and needed to store it in a cost-effective way, which may […]
The term “big data” reached its peak on Google Trends back in 2015. Organizations were harvesting more data than ever before and needed to store it in a cost-effective way, which may […]
So you’re filling your Hadoop cluster with reams of raw data, and your data analysts and scientists are champing at the bit to get started. Then the question hits you: How are […]
Amazon Redshift may dominate the nascent cloud data warehouse category, but anecdotal evidence suggests Google BigQuery is catching on quickly – and offerings from Microsoft, SnowFlake, and others aren’t far behind. Apache […]
There are plenty of success stories about Hadoop in the enterprise, but those may be the exception and not the rule. Gartner Research VP Merv Adrian provides a reality check on deployment […]
Big data is past the hype stage, but are organizations really past the challenges and getting the most value out of big data technologies? Not so much. Here’s a look at the […]
In 2017, there has been some convergence of old and new schools of data management and BI/analytics – as with financial services firms’ data strategies that combine data stores and blend types […]
While the idea of keeping big data secure is not new, have the companies which provide these services been keeping up with the latest cyber threats? From viruses to ransomware there is […]
2016 was a landmark year for big data with more organizations storing, processing, and extracting value from data of all forms and sizes. In 2017, systems that support large volumes of both […]
For some years now, data storage vendors have been incorporating big data and analytics tools such as Hadoop into their products. However, the performance requirements of these applications have sometimes proven hard […]
The Big Data space has been confusing. Investors looking to ride the ups and downs of this market need to develop high tolerance for contradictory messages. Take Hadoop for example. A few […]