The Strata + Hadoop World NYC 2015 (Sept. 29-Oct. 3) agenda was published in the last few days. Congratulations to all accepted presenters!
In this post, I just want to provide a concise digest of the tutorials and sessions that will involve Cloudera or Intel engineers and/or interesting use cases. There are many worthy sessions from which to choose, so we hope this list will influence your decisions about where to spend your time during the week!
Evaluating which streaming architectural pattern is the best match to your use case is a precondition for a successful production deployment.
The Apache Hadoop ecosystem has become a preferred platform for enterprises seeking to process and understand large-scale data in real time. Technologies like Apache Kafka, Apache Flume, Apache Spark, Apache Storm, and Apache Samza are increasingly pushing the envelope on what is possible. It is often tempting to bucket large-scale streaming use cases together but in reality they tend to break down into a few different architectural patterns,
Learn how to read FIX message files directly with Hive, create a view to simplify user queries, and use a flattened Apache Parquet table to enable fast user queries with Impala.
The Financial Information eXchange (FIX) protocol is used widely by the financial services industry to communicate various trading-related activities. Each FIX message is a record that represents an action by a financial party, such as a new order or an execution report.
This new feature gives Hadoop admins the commonplace ability to replace failed DataNode drives without unscheduled downtime.
Hot swapping—the process of replacing system components without shutting down the system—is a common and important operation in modern, production-ready systems. Because disk failures are common in data centers, the ability to hot-swap hard drives is a supported feature in hardware and server operating systems such as Linux and Windows Server,
Apache Hadoop ecosystem, time to celebrate! The much-anticipated, significantly updated 4th edition of Tom White’s classic O’Reilly Media book, Hadoop: The Definitive Guide, is now available.
The Hadoop ecosystem has changed a lot since the 3rd edition. How are those changes reflected in the new edition?
The core of the book is about the core Apache Hadoop project, and since the 3rd edition,