Big Data
Jul 23, 2018
Written by Todd Goldman
While most ( 63% ) of the surveyed companies have employed a CDO (where virtually none of them had just four years ago), many of them could not seem to agree on what the role of CDO should be.


Big Data
Jul 17, 2018
Written by Todd Goldman
The third wave of big data innovation is now here and finally allows companies without an army of big data experts to use big data for competitive advantage.


Big Data
Jun 20, 2018
Written by Todd Goldman
Amazon is coming for your business.  The good news? There is no reason that big data can’t also be used by your organization to become an agile industry powerhouse.


Big Data
Jun 13, 2018
Written by Todd Goldman
According to the latest Harvey Nash / KPMG CIO Survey, big data and analytics remain “the number one skill in short supply” for the fourth year in a row.


Big Data
May 02, 2018
Written by Todd Goldman
More people are questioning the future of Hadoop. Here’s just a sample of what’s being said: “We are more consistently hearing that core Hadoop software modules are dated/commoditized.” StreetInsider; ...


Straight from the Infoworks blog, our big data articles archive is a collection of key concepts, industry insights, and news happening in the world of big data.

For companies at the enterprise level, big data is one of the most substantial technological innovations to emerge over the last decade. Big data refers to the volume of both structured and unstructured data. It is so large, traditional software and database techniques make it extremely difficult to process. Another way to define big data pertains to what some call “the five V’s”: velocity, volume, value, variety, and veracity.

Those working with big data employ advanced data analysis methods such as predictive analytics and user behavior analytics. Since big data can help businesses make more intelligent and accurate decisions, leveraging this data in certain ways has the potential to deepen relationships with customers, gain a competitive advantage in the marketplace, perform risk analysis, bolster data safety efforts, and create new revenue streams.

Many experts on data storage estimate that the volume of data generated will increase at an exponential rate over the next few years. Therefore big data’s role and the techniques necessary to extract the most value out of it will become increasingly important.

Because traditional relational databases often struggle to meet the processing demands of big data, organizations often turn to NoSQL databases and Hadoop instead. Some of the common complementary tools include YARN, MapReduce, Apache Spark, HBase, Apache Hive, Kafka, and Pig. More recently, IT and analytics teams are embracing data lake warehousing as a repository for incoming streams of raw data.

Want More Big Data Content?

This blog archive is the best place to find articles that share exclusive insights and all of the crucial aspects you need to know about big data. The Infoworks blog also dives into data ingestion best practicesdata engineering articlesnew announcements from the team at Infoworksdata lake newsand DataOps articles. Stay up to date with our blog by subscribing to our email newsletter!

If you would like to learn more about enterprise data operations and orchestration, be sure to check out the Infoworks DataFoundry!