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From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

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 analytics since 1990 is now coming to an end. Other non-SQL approaches to analytics such as MapReduce/Hadoop, a very simple dataflow architecture for batch computing, are now gaining ground. As the need for realtime analytics grows we will continue to see a migration away from databases and to... (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)

Hadoop and Realtime Cloud Computing

Big data is creating a massive disruption for the IT industry. Faced with exponentially growing data volumes in every area of business and the web, companies around the world are looking beyond their current databases and data warehouses for new ways to handle this data deluge. Taking a lead from Google, a number of organizations have been exploring the potential of MapReduce, and its open source clone Hadoop, for big data processing. The MapReduce/Hadoop approach is based around the idea that what's needed is not database processing with SQL queries, but rather dataflow computin... (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)

Got Excel? Go Cloud in 2010

Cloudcel on Ulitzer At the recent Hadoop World conference, Doug Cutting, Hadoop Project Founder, remarked that "The Dream" was to provide non-programmers with the power of parallel cloud computing tools such as MapReduce and Hadoop, via simple, easy-to-use spreadsheet-like interfaces. With Cloudcel, the non-programmers of the world (and the programmers too!) can "live that dream" today. Not only can you develop and launch massively parallel MapReduce/Hadoop-style cloud computations, simply and seamlessly from within the standard Excel interface, you can also go way beyond tools ... (more)