We’re mighty stoked to make it into InfoWorld’s list of best open source big data tools for the second time!
Today’s NoSQL databases share many characteristics with Hadoop, but in some cases, they are easier to manage and develop for. So if you’re about to embark on a big data project, it makes sense to investigate at lease the leading NoSQL contenders.
SlamData CTO John De Goes discusses the Big Data Slog and why SlamData cuts to the chase — or delivers a “visual sandbox” that makes exploration drop-dead simple.
Beyond just data visualization, SlamData solves the really hard part of the problem, which is the analytics problem.
Both Tableau and Pentaho, which are analytics tools in all traits, which is sort of a data wrangling or pipeline tool are designed to deal with strictly relational data. If you have a bunch of JSON data, there’s no way to query that directly from something like Tableau or Pentaho.
Data wrangling is the latest clever way to describe the lengthy and cumbersome data preparation process required to make modern complex data (aka: post-relational, multi-structured, semi-structured…) fit legacy (read: relational) analytics tools.