Learn how to use OCR tools, Apache Spark, and other Apache Hadoop components to process PDF images at scale.
Optical character recognition (OCR) technologies have advanced significantly over the last 20 years. However, during that time, there has been little or no effort to marry OCR with distributed architectures such as Apache Hadoop to process large numbers of images in near-real time.
In this post, you will learn how to use standard open source tools along with Hadoop components such as Apache Spark,
Strata + Hadoop World 2015 NYC is more than a daytime conference; it’s also a nighttime meetup experience. (Plus, there are a bunch of book signings.)
It won’t be long before we’re all in NYC for Strata + Hadoop World (Sept. 29-Oct. 1; if you haven’t registered yet, a 20% discount is still available). So, consider for your evening agenda:
Thrift client authentication and doAs impersonation, introduced in HBase 1.0, provides more flexibility for your HBase installation.
In the two-part blog series “How-to: Use the HBase Thrift Interface” (Part 1 and Part 2), Jesse Anderson explained the Thrift interface in detail, and demonstrated how to use it. He didn’t cover running Thrift in a secure Apache HBase cluster, however, because there was no difference in the client configuration with the HBase releases available at that time.
Strata + Hadoop World New York 2015 needs your developer demos! The proposal period closes on Aug. 14.
As everyone knows, Apache Hadoop’s overwhelming success is partly premised on de-centralized innovation from all corners of the community—users, vendors, and academia—with everyone participating on a level playing field. And since 2011, Strata + Hadoop World has been a community and content hub of that ecosystem.
For the 2015 show in New York (Sept.
The best data protection strategy is to remove sensitive information from everyplace it’s not needed.
Have you ever wondered what sort of “sensitive” information might wind up in Apache Hadoop log files? For example, if you’re storing credit card numbers inside HDFS, might they ever “leak” into a log file outside of HDFS? What about SQL queries? If you have a query like select * from table where creditcard = ‘1234-5678-9012-3456’,