TimBerglund
Tim serves as the VP of Developer Relations at IBM, where he and his team work to make certain parts of the IBM portfolio more accessible to developers. He is a regular speaker at conferences and a presence on YouTube explaining complex technology topics in an accessible way. He lives with his wife in Arvada, CO. He has three grown children, three step-children, and four grandchildren, with a fifth on the way.
Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.
Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.
Which marriages in the village will last? Which chicken is queen of the coop? How many crayons do you need to color a county map of Tennessee? What do all of these questions have in common? They're all graph problems.
Developers and architects are increasingly called upon to solve big problems, and we are able to draw on a world-class set of open source tools with which to solve them. Problems of scale are no longer consigned to the web’s largest companies, but are increasingly a part of ordinary enterprise development. At the risk of only a little hyperbole, we are all distributed systems engineers now.
Zero fluff.