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 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…

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…

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…

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…

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…

A database is a database, right? Wrong! Come learn from someone with the scars how the new NoSQL kids on the block want to grow up to become a SQL database, and how Big Daddy Oracle wants to skate with the database upstarts. As part of this talk, we will learn just enough to understand…