BIG: archive format to store millions of files.
BIG is an archive format that was designed to store millions of files. The format is quite simple. For each archive, two files are used. One file is where we store all the binary...
Category: Big Data, Analytical Data Platforms, AI and Data Science
Use Cases for Unstructured Data
Use Cases for Unstructured Data by Benjamin De Boe, Product Manager InterSystems Corporation INTERSYSTEMS WHITE PAPER Introduction Experts estimate that 85% of all data exists in unstructured formats – held in e-mails, documents (contracts,...
The enterprise data lake: Better integration and deeper analytics
The enterprise data lake: Better integration and deeper analytics By Brian Stein and Alan Morrison, PwC Technology Forecast: Rethinking integration Issue 1, 2014 Data lakes that can scale at the pace of the cloud...
Fifth Workshop on Big Data Benchmarking (5th WBDB) August 5-6, 2014.
– The Fifth Workshop on Big Data Benchmarking (5th WBDB) August 5-6, 2014, Potsdam, Germany: – Videos of all talks. Program TUESDAY, AUGUST 5, 2014 SESSION 1, Chair: Chaitan Baru 0900 0915 Welcome &...
Big Data: A Data-Driven Society?
Big Data: A Data-Driven Society? Roberto V. Zicari, Goethe University, Frankfurt Main, Germany, Presentation. Stanford EE Computer Systems Colloquium 4:15PM, Wednesday, October 29, 2014 NEC Auditorium, Gates Computer Science Building Room B3 http://ee380.stanford.edu Abstract...
Performance and Capacity Implications for Big Data
Performance and Capacity Implications for Big Data January 2014 ibm.com/redbooks Redpaper Preface Big data solutions enable us to change how we do business by exploiting previously unused sources of information in ways that were...
Big Data: Big benefits and imperiled privacy
Big Data: Big benefits and imperiled privacy How data analytics is transforming how we live and work—and impacting personal privacy PwC, June 2014 At a glance The explosion of data collection and almost instant...
Mr.LDA Scalable Topic Modeling Using Variational Inference in MapReduce
Mr.LDA is a package for flexible, scalable, multilingual topic modeling using variational inference in MapReduce. Latent Dirichlet Allocation (LDA) and related topic modeling technique are useful for exploring document collections. Because of the increasing...
SQLScript: Efficiently Analyzing Big Enterprise Data in SAP HANA
SQLScript: Efficiently Analyzing Big Enterprise Data in SAP HANA Carsten Binnig, DHBW Mannheim Norman May, SAP AG Walldorf Tobias Mindnich, SAP AG Walldorf Abstract: Today, not only Internet companies such as Google, Facebook or...
How to Use Hadoop with Your SAP® Software Landscape
CIO Guide How to Use Hadoop with Your SAP® Software Landscape February 2013 About the Authors David Burdett and Rohit Tripathi, Product Architecture & Technology Strategy group at SAP. Executive Summary The Apache Hadoop...