Cloud Data Analytics on Ulitzer
Cloud analytics is hot. Gartner's top two strategic technologies for the
enterprise in 2010 are cloud computing and advanced analytics. In their words
"Technologies you can't afford to ignore".
Venture capitalist Ann Winblad, in a recent video, points out that the coming
era of realtime cloud analytics will have a revolutionary impact on the
enterprise, creating a radically new "innovation palette" for businesses of
Business analytics is, of course, a major established sector of the IT
industry, but it's one that's ripe for disruption. Twenty years of SQL/OLAP
analytics have created a $25 Billion market, but the impact of SQL/OLAP
analytics on the enterprise has been far less impressive than many had hoped.
Only a relatively small fraction (5%-10%) of those grappling with information
overload from explosively growing enterpr... (more)
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)
A realtime data explosion is underway throughout business, finance,
government, health, media, science, sensors and the web. Individuals and
organizations that had only recently figured out how to cope with thousands
or millions of events per day are now drowning in billions of realtime events
per day, and for leading organizations the number is rapidly heading towards
ONE TRILLION EVENTS PER DAY. Gigabyte databases are history, multi-terabyte
datastores are now routine even for small businesses, and for leading web
businesses the size is now in the petabytes.
The challenges of ... (more)
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
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)