From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

Two weeks ago I wrote about "The Need for Speed" in cloud computing, and asked "Who is going to build the low-latency cloud for enterprise customers?". Today Werner Vogels and his team at Amazon announced their Cluster Compute Instances offering. This is a very important step forward towards the kind of realtime, high performance cloud that customers such as Cloudscale require to deliver the next generation of cloud services. In our case, it means we now have three distinct alternatives for deployment of our massively parallel realtime data warehouse architecture: standard public cloud (EC2+S3+...), in-house cluster (Eucalyptus or native), and now high-performance public cloud cluster. As a former parallel supercomputing researcher, turned realtime analytics guy, I'm excited and impressed by what Werner and his team are opening up today. Just as commodity clusters hav... (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)

Cloud Analytics Checklist

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 la... (more)

Cloud Analytics: Dataflow vs Databases

For twenty years, analytics has been viewed as just one specific area within the broader relational database industry. So, analytics has meant databases. Today that view is changing. Over the past year or so, a new movement, the "NoSQL" movement has emerged promoting the advantages of doing a variety of kinds of analytics without using any relational database technologies at all. Whatever one thinks of the capabilities and limitations of distributed key-value stores relative to relational databases, one thing is clear - the stranglehold that SQL has held over all aspects of data an... (more)

25 Years of Big Data: From SQL To The Cloud

Cloudcel on Ulitzer Back in 1985, the world was pre-web, data volumes were small, and no one was grappling with information overload. Relational databases and the shiny new SQL query language were just about perfect for this era. At work, 100% of the data required by employees was internal business data, the data was highly structured, and was organized in simple tables. Users would pull data from the database when they realized they needed it. Fast forward to 2010. Today, everyone is grappling constantly with information overload, both in their work and in their social life. Most ... (more)