Big Data News – MapR’s Deep Dive into Apache Drill and Gartner’s Big Data Predictions for 2020

Uli Bethke Big Data, Hadoop, Spark, SQL for Analysis

30% of all Enterprises will use intermediaries for big data by 2017 Another week has passed and our big data community has been busy around the world. Some interesting movements in our industry has arisen with Doug Laney on Forbes making three predictions on the advancement of big data to 2020, including the rise of 3rd party big data contractors helping ...

Self-Service Analytics in the Data Lake

Uli Bethke Big Data, Business Intelligence, Data Warehouse, Hadoop, MapR, Spark

Deriving Value from your data... We all know that decision makers and analysts need quick access to all of the structured and unstructured data in an enterprise. Typically this data is locked away in various source systems and can’t be queried from a single central location The data warehouse set out to fix this problem ages ago and it has ...

Hadoop User Group Ireland Meetup (24 June 2015): An Introduction to Spark

Uli Bethke Big Data, Hadoop, HUG Ireland, Spark, SparkSQL, SQL, Tableau, Uncategorized

Thanks again to everyone who attended the third Hadoop User Group Ireland meetup. Also thanks to Bank of Ireland Grand Canal Square for making the venue available. Participants in the event can send feedback to their Twitter and Facebook accounts: facebook.com/BOIGrandCanalSquare twitter.com/BOIGrandCanalSQ. Also thanks to Étienne from Idiro and Antonio from HP for their great presentations. We have all of ...

Data Warehousing in the Age of Big Data. RDBMS Scalability, Exploding Data Volumes and License Costs.

Uli Bethke Big Data, Data Warehouse, Hadoop, MapR

Note: There is an updated version of this post. You can download it for free. Download updated version In the first part of this series of blog posts on data warehousing in the era of big data we looked at limitations of relational databases for data warehousing. In this post I will elaborate further on the impact of growing data ...