Tag: Hadoop

7.9.13 In this presentation Nanda will dive into: • The most popular topics from this year's COLLABORATE 13 conference • Answers to your real-time questions (via the Twitter hashtag #IOUGInsider) • Big Data for Oracle Professionals If you ever wondered what Big Data is but were inundated with buzzwords like Hadoop, MapReduce, Hive and Pig…

Hadoop has become the de facto platform for big data processing and several different use cases are implemented on Hadoop constantly. One common use case is to run a data pipleine that takes raw data at one end and delivers actionable insights at the other end using Hadoop. While the applications and the business drivers…

Big Data is growing exponentially, requiring massive-scale infrastructure however, business analytics has shifted from reactive to proactive analysis; this is the era of streaming data (a.k.a. Fast Data). Apache Hadoop is very good for analyzing data at rest but cannot handle streaming data. Big Data analytics needs new Big data frameworks. Apache Spark brings in-memory processing and…

Many enterprise have data in Oracle Databases, so with the avaliability of Hadoop, one can build a commodity cluster to process large amounts of data, and then use OLH (Oracle Loader for Hadoop) to load an Oracle Database 12C table with the in-memory feature. The lab focus is to first understand the Java M-R (Map-Reduce) programming paradigm which is the basis of OLH,…

With the great interest in ‘Big Data’ solutions, hear why the Oracle platform is perfect for ‘Big Data’ requirements with analytic and SQL capabilities to join ALL data types, including relational, Spatial, XML, text, semantics, multimedia and other unstructured data. Get an introduction into the features in Oracle Database for storing, managing and analyzing unstructured…