Hadoop will stand strong in 2017.
Hadoop not only lives in the big data cloud, it embodies the big data cloud. Owned by Apache, Hadoop turns 11 years old in 2017. This open source software provides distributed cloud storage and the ability to process large disparate datasets into actionable insight. Continue Reading
In the grand land of databases, you have the traditional RDBMS (here’s lookin’ at you, SQL) and an impressive lineup of the sexy, modern NoSQLs (say hey to MongoDB, Cassandra, Redis, HBase, and the gang). The trouble with relational databases is and always has been scalability. Darn things just don’t like to grow, and today’s data sets do enjoy GROWING. But RDBMS retrieve data like nobody’s business. Conversely, NoSQL databases are ACID-less. Continue Reading
Remember a few years ago, when Hadoop took knocks left and right for lacking usability, security, and other key features and functionality? Well, no more. A couple of weeks ago, Hortonworks revealed the latest version of Hortonworks DataFlow (HDF), its integrated system that allows for dataflow management and streaming analytics. Continue Reading
For those who have spent the last decade steeped in all things cloud, virtualized environments, and Hadoop ecosystems, it may come as a shock that some 70 to 80 percent of the world’s business transactions are still handled by the mainframe. About 71 percent of all Fortune 500 companies are customers of the tremendously successful System z, the flagship of mainframe computing. The mainframe isn’t dead, and isn’t likely to be anytime soon. Mainframes are incredibly stable, unbelievably secure, and deliver an impressive level of performance. Continue Reading
The concept of big data isn’t new at all. While the exact conception point of modern big data can likely be traced back (according to Forbes) to the identification of the “information explosion” back in 1941, what has changed recently isn’t just the volume, variety, and velocity of data — but rather the tools that we have to store and analyze the data. Certainly, volume, variety, and velocity are growing more today, as well, since the bulk of big data is produced by machines, not humans. Continue Reading