Over the course of the past few years, big data has evolved from an incomprehensible buzzword to a little-understood but powerful plaything to an essential part of the business’ strategy. Whether your bag is marketing or BI or product development, there’s something in it for you with big data. Continue Reading
Flexibility. Scalability. Agility.
These are just a few of the many buzzwords making the rounds on the business and tech blogs to define what it means to have “successfully adopted digital transformation”. Continue Reading
Hadoop was the first real entry into the big data race, and though it got somewhat of a slow start, it has emerged as the winning big data infrastructure. The Hadoop ecosystem has evolved to include a comprehensive set of tools, most of which are open-source, but are supported by deep-pocketed and deeply-committed vendors. This vendor support, combined with a strong and dedicated open source community, has helped propel a number of big data engines into the race for success. Continue Reading
Back in the mid-1990s, IBM built a machine called Deep Blue. Deep Blue awed the world in 1996 by beating the then world chess champ at his own game under standard competition chess time rules. The world was (and continues to be) awed by this feat. To those outside the world of computers and AI, this seems like, well, magic. 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