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…

There is a fundamental shift underway in IT to include open, software defined, distributed systems like Hadoop. As a result, every Oracle professional should strive to learn these new technologies or risk being left behind. This session is designed specifically for Oracle database professionals so they can better understand SQL on Hadoop, both on-premises and…

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…

Big data is one of the biggest buzzword in today's market. Terms like Hadoop, HDFS, YARN, Sqoop, and non-structured data has been scaring DBA's since 2010 - but where does the DBA team really fit in? In this session, we will discuss everything database administrators and database developers needs to know about big data. We…

There is a strong perception among ORACLE DBAs that Hadoop is a "thing" for developers. One can't use it effectively, unless he or she is is a decent Java programmer, able to write sophisticated MapReduce jobs. Nothing can be further from the truth! Hadoop is all about managing data, so, of course, it still needs…

Big Data analytics furnishes actionable information to help make business decisions. E.g., "Which of our products got four stars rating on social media in the last quarter?” Producing actionable information requires both Big Data as well as Master Data i.e., products, customers, usually stored in Oracle database. This technical session describes Oracle Datasource for Apache…

At the beginning was Hadoop 1.0, HDFS, MapReduce, Hive, Pig, then came Hadoop 2.x, HCatalog, YARN. While you were wrapping your head around Hadoop came a new platform, Spark, setting the Big Data landscape on fire. But hold your breath, here is Flink, a new Big data platform, challenging Spark and Hadoop. Are these frameworks…