VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar-on-demand, you’ll see how VMware Continuent delivers: Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports
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Practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from MySQL and Oracle into Amazon Redshift, HP Vertica and Hadoop.
Webinar-on-demand. Recorded 07/23/15.
It’s with great pleasure we announce the general availability of VMware Continuent 4.0 – a new suite of solutions for clustering and replication of MySQL to data warehouses.
VMware Continuent enables enterprises running business-critical database applications to achieve commercial-grade high availability (HA), globally redundant disaster recovery (DR) and performance scaling. The new suite
Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem.In this webinar-on-demand we showcase
The Hadoop Summit, a leading Apache Hadoop industry conference, has grown significantly over the years, and throughout the day, theCUBE, led by hosts John Furrier and Jeff Kelly, featured the best of thought leaders, use cases, data scientists, data analysts, and developers at the event. Watch yesterday's interview with Robert Hodges (CEO, Continuent) on real-time data loading from Oracle and
In the previous article we introduced Hadoop as the most popular Big Data toolset on the market today. We had just started talking about MapReduce as the major framework that makes Hadoop distinctive. So let’s continue the discussion where we left off.
MapReduce is really the key to understanding Hadoop’s parallel processing functionality as it enables data in various formats (XML, text, binary, log, SQL, ect) to be divided up and mapped out to many computers nodes and then recombined back to produce a final data set.
Dolphin and Elephant: an Introduction
This post is intended for MySQL DBAs or Sysadmins who need to start using Apache Hadoop and want to integrate those 2 solutions. In this post I will cover some basic information about the Hadoop, focusing on Hive as well as MySQL and Hadoop/Hive integration.
First of all, if you were dealing with MySQL or any other relational database most of your professional life (like I was), Hadoop may look different. Very different. Apparently, Hadoop is the opposite to any relational database. Unlike the database where we have a set of tables and indexes, Hadoop works with a set of text files. And… there are no indexes at all. And yes, this may be shocking, but all scans are sequential (full “table” scans in MySQL terms).
So, when does Hadoop makes sense?
First, Hadoop is great if you need to …[Read more]
“Legacy MySQL does not scale well on a single node, which forces granular sharding and explicit application code changes to make them sharding-aware and results in low utilization of severs”– Dr. John Busch, Schooner Information Technology A super-set of MySQL suitable for Big Data? On this subject, I have interviewed Dr. John Busch, Founder, Chairman, [...]
Red Hat’s $136m acquisition of open source storage vendor Gluster marks Red Hat’s biggest buy since JBoss and starts the fourth quarter with a very intersting deal. The acquisition is definitely good for Red Hat since it bolsters its Cloud Forms IaaS and OpenShift PaaS technology and strategy with storage, which is often the starting point for enterprise and service provider cloud computing deployments. The acquisition also gives Red Hat another weapon in its fight against VMware, Microsoft and others, including OpenStack, of which Gluster is a member (more on that further down). The deal is also good for Gluster given the sizeable price Red Hat is paying for the provider of open source, software-based, scale-out storage for unstructured data and also as validation of both open source and software in today’s IT and cloud computing storage.
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