From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

Cloud Data Analytics on Ulitzer In the previous article we looked at how realtime cloud analytics looks set to disrupt the $25B SQL/OLAP sector of the IT industry. What are users looking for from a next-generation post-SQL/OLAP enterprise analytics solution? Let's look at the requirements: Realtime + Historical Data. In addition to analyzing (historical) data held in databases (Oracle, SQLServer, DB2, MySQL) or datastores (Hadoop, Amazon Elastic MapReduce), a next-gen analytics solution needs to be able to analyze, filter and transform live data streams in realtime, with low latency, and to be able to "push" just the right data, at the right time, to users throughout the enterprise. With SQL/OLAP or Hadoop/MapReduce, users "pull" historical data via queries or programs to find what they need, but for many analytics scenarios today what's needed instead, to handle ... (more)

Excel Meets The Cloud

Cloudcel on Ulitzer Data is revolutionizing how we live and work, and it's growing exponentially everywhere. Faced with this information explosion, experienced programmers are now using parallel processing tools such as MapReduce/Hadoop, rather than SQL databases, to analyze large repositories of stored, historical data. The next major step in this direction is to bring the full power of advanced data mining and analytics, realtime stream processing, and massively parallel computing to everyone, not just to experienced programmers. The cloud is central to bringing about this radi... (more)

The Client-plus-Cloud Revolution

Data is growing exponentially everywhere - in business, web, finance, government, science, and in the world of sensors and smart grids. Speaking earlier this week at OSBC, Tim O'Reilly said  "The future will be all about who has most data, and who is able to extract meaning from it and deliver it in real time".  He noted that the IT industry is now in the process of being reinvented around the idea of realtime analysis of "Big Data" in the cloud, as a must-have adjunct to the much more limited kinds of data processing and analytics that can be performed on desktop PCs or mobile d... (more)

What's Really Industry Changing About Cloud Computing?

Bill McColl's "Cloud N" Blog This is an incredibly important time for the cloud computing area. But let’s try and move the discussion of it in the press along from an obsession with new datacenter buildings located by power stations, with the total server numbers at Microsoft and Google, and with Amazon’s hourly pricing for EC2. Interesting though those aspects of cloud computing appear to be to journalists, they hardly represent what is really industry changing about cloud computing. What are some of the new directions in the massively parallel cloud computing space? I’ll mentio... (more)

NoHadoop: Big Data Requires Not Only Hadoop

Over the past few years, Hadoop has become something of a poster child for the NoSQL movement. Whether it's interpreted as "No SQL" or "Not Only SQL", the message has been clear, if you have big data challenges, then your programming tool of choice should be Hadoop. Sure, continue to use SQL for your ancient legacy stuff, but when you need cutting edge performance and scalability, it's time to go Hadoop. The only problem with this story is that the people who really do have cutting edge performance and scalability requirements today have already moved on from the Hadoop model. A ... (more)