Getting Started with Hadoop
Our fourth installment from Mitch Seigle’s time on “The Cube” at Hadoop Summit focuses on getting started with Hadoop. Three initial steps to consider include: Experiment – We strongly recommend an...
View ArticleHadoop MapReduce: to Sort or Not to Sort
Tuesday Jan 22nd was a critical milestone for us at Syncsort as our main contribution to the Apache Hadoop project was committed. This contribution, patch MAPREDUCE-2454, introduced a new feature to...
View ArticleYet Another Hadoop Benchmark – Part I
Is this blog about yet another TeraSort benchmark? Benchmarking is a very integral part of our life at Syncsort since the products we develop are highly focused on performance and scalability. Having...
View ArticleA Bird’s-Eye View of the Elephant: Hadoop Summit 2013
Hortonworks and Yahoo hosted yet another great Hadoop Summit last week! The most interesting thing about this Summit was to see almost every single distribution vendor developing their own Big Data...
View ArticleWhat Do You Need to Know About the Status of Hadoop Right Now?
Have you been curiously sitting on the sidelines, watching and waiting to see if Hadoop evolved into something useful, practical, and manageable for your organization to take on? If so, you’ll want to...
View ArticleEeny Meeny Miny Mo … To Which Hadoop Option Should I Go?
There are now a number of different Hadoop engines to choose from, and for those just getting into analytics (or those looking to replace an option that isn’t meeting their needs), it can be daunting...
View Article3 Essential To-Dos for Successful Enterprise Adoption of Hadoop
Taking on Hadoop is the strongest step toward a successful big data endeavor. But what does it take to be successful with Hadoop? Hadoop now offers enterprise level security and data governance...
View ArticleIntegrating Streaming Big Data with Kafka
Kafka is a distributed messaging system that has generated a lot of interest among our customers. Some of those customers were already using a messaging system, but wanted to switch to Kafka in order...
View ArticleHow Do You Move Data Preparation Work from MapReduce to Spark without Re-Coding?
This blog was originally posted on the “Big Data Page by Paige” Blog. So, is this a situation you recognize? Your team creates ETL and data preparation jobs for the Hadoop cluster, puts a ton of work...
View ArticleSimplify Apache Spark & Kafka Integration with Syncsort DMX-h v9
This blog was originally published by Keylink Technology on their Big Data & Analytics Blog The latest version of Syncsort’s flagship data integration and ETL software for Hadoop – Syncsort DMX-h...
View ArticleExpert Interview Series: Robin Bloor Discusses the Future of Big Data and the...
Robin Bloor believes that Hadoop and big data analytics is still relatively immature, but active archive on Hadoop is a no-brainer. He believes that the most exciting things will happen at the hardware...
View ArticleExpert Interview Series – Part 2: Hortonworks Co-Founder and Technical...
You haven’t heard it until you’ve heard it from the horse’s mouth! Here is an interesting one-on-one with Hortonworks co-founder and technical fellow, Owen O’Malley, one of the first to begin coding...
View ArticleBest of 2016: Top 5 Big Data Blogs – It’s All About Hadoop
As we countdown the final days of 2016, we’re taking a look back at our best content this year. So without further ado, here’s a list of the best of Big Data we’ve offered you this year: #1: Debunking...
View ArticleBest of 2016: Top 5 Expert Interviews
We at Syncsort have had the privilege to speak with industry leaders as well as those making a name for themselves in their field. As 2016 takes its final bow, let’s take a look at the experts that you...
View Article3 Alternatives to MapReduce Programming
Early on in the race toward taming the beast that is Big Data, Hadoop became the go-to framework for storing and processing these enormous data sets. Since then, Hadoop has achieved an impressive...
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