by Angela Guess Jack Vaughan reports in Search Data Management, “The onslaught of big data, with its high data volumes and diverse data structures, has given rise to new technologies in the form of NoSQL, Hadoop, Spark and the like. NoSQL, particularly, calls for changes in established data modeling techniques. Some basic learning is in […]
How NoSQL Databases Fill the Information Gap
by Angela Guess Ravi Mayuram, SVP of Couchbase, recently wrote in Enterprise Tech, “If data is getting more plentiful and hardware is cheaper and more powerful, why aren’t we doing more to put the information we have to better use? The answer is that we’ve lacked the right tools for processing information. NoSQL databases fill […]
Pros and Cons: Warehouse vs. Data Lakes
Learn more about Thomas Hazel. This column will not be the proverbial “Pros and Cons” article, weighing the good with the bad. One can find such content habitually year after year and month after month, all of which will outline the obvious advantages and disadvantage between any two things. This is particularly prevalent in the […]
Reasons to Consider a NoSQL Solution for Internet of Things Data
by Angela Guess Jim Scott recently wrote in Smart Data Collective, “If you’re looking to take advantage of sensors, you will likely have to update your data store to handle the workload. Once you’re set up data-wise, get ready to monitor everything from weather and the environment to overseas factory floors and even fleets of […]
4 Use Cases for NoSQL Databases
by Angela Guess Jim Scott recently put together a list of four “game-changing” use cases for NoSQL databases in Smart Data Collective. He begins with financial services: “When you picture a trading firm or hedge fund, you might see a Gordon Gecko clone, clutching multiple phones, hunched over a Bloomberg terminal, barking orders to buy […]
NoSQL Expects Another Big Year in 2016 and Beyond
by Angela Guess Ben Rossi recently reported in Information Age, “Allied Market Research predicts that the global NoSQL market will reach $4.2 billion by the end of 2020, with a growth rate of 35.1% compound annual growth rate (CAGR) from 2014 to 2020. The reason for this growth is that companies are looking for database […]
Why ‘Relational Databases Don’t Handle Big Data Well’
Chris Preimesberger recently opined for eWeek, “Enterprises are confronting the reality of big, fast, varied and changing data. It’s no longer about managing a small number of systems, but rather hundreds of systems and petabytes of data. Smart companies know that managing large volumes of structured and unstructured data, known as big data, is crucial […]
Case Study: Cassandra Meets Call of Duty
Lis Evenstad recently wrote for Computer Weekly, “With the rise of the internet of things (IoT) and new technology, companies have the ability to collect and use more data than ever before. More data also means higher expectations and increased competition to stay on top of the game.’It’s about having real-time data at your fingertips,’ […]
Introduction to: Triplestores
Triplestores are Database Management Systems (DBMS) for data modeled using RDF. Unlike Relational Database Management Systems (RDBMS), which store data in relations (or tables) and are queried using SQL, triplestores store RDF triples and are queried using SPARQL. A key feature of many triplestores is the ability to do inference. It is important to note […]