Contents tagged with hadoop
I haven’t been able to blog so much in the last couple of months. June, July were incredibly busy with conferences and promoting the general availability release of our KidoZen enterprise mobile platform http://kidozen.com . I’ve been also blogging more actively on my entrepreneurial blog http://jrodthoughts.com/.
Now that things have settled down a bit, I am expecting to keep contributing more regularly on this blog.
For starters, we will be hosting our periodic Tellago Technology Update Webinar. This time we will take a in depth look at the big data technology ecosystem on different areas such as infrastructure, predictive analytics, search, data visualization among other important building blocks of big data solutions in the enterprise. On each area we will explore the main technologies and highlight their strengths and weaknesses from an enterprise perspective.
After this hour you should get a pretty good understanding to the big data enterprise software ecosystem including the top vendors on each area. You are register for the webinar at: https://www3.gotomeeting.com/register/884954438
We are excited to announce that next Tuesday we will be presenting a webinar about one of the hottest enterprise software trends in the industry and one that is just starting to be more widely accepted within Microsoft enterprise customers: big data.
As part of this webinar, we will take a look at the entire enterprise big data ecosystem including the distributions of technologies like Hadoop, Cassandra and R and we will deep dive into Microsoft's HDInsight offering for both Windows Server and Windows Azure. We are planning to keep things practical to expect to see some cool demos and case studies about big data solutions in the real world.
You can register for the webinar using the following details:
Title: Building Big Data Solutions in the Microsoft Platform
Registration Link: https://www3.gotomeeting.com/register/655037446
Date: Tuesday, March 26, 2013
Time: 2:00 PM - 3:00 AM EDT
Summary: In recent years, big data has become one of the hottest trends in the enterprise software landscape. As a leader in the enterprise data space, Microsoft has taken significant steps towards simplifying the big data experience in the enterprise with the release of the HDInsight Server and HDInsight Service technology stacks.
This session deep dives into HDInsight Server and HDInsight Service from a developer perspective. The session emphasizes the best practices, patterns and techniques that will help developers to build on-premise or cloud-enabled big data solutions powered by HDInsight Server or HDInsight Service. To keep things practical, we will showcase a series of real world solutions that highlight how to leverage HDInsight Server and/or HDInsight Service to enable the next generation big data infrastructures in the enterprise.
The slides from my big data session at Microsoft TechDays can be found below. During the session, we discussed a lot of the fundamental technologies of the most popular Hadopp distributions including HDFS, Map-Reduce, HBase, Hive, Pig, Sqoop and others. The session was really focused on practical examples and we spent quite a bit of time showing code :)
Towards the end of the presentation, we debated some of the limitations of Hadoop and exploring some recent research materials focused on addressing those. I particularly enjoyed the discussion around Google Dremel which is the foundation behind the amazing Google Big Query engine.
I hope you find this material useful. If you have any feedback about MS HDInsight or would like to know more don’t hesitate to ping me via this weblog.