Forthcoming webinar: Real-time Big Data Analytics, with MemSQL

Next Tuesday, May 7, I’ll be taking part in a webinar with MemSQL at 10am PST to discuss real-time big data analytics.

Although much of the focus of big data relates to volume, the velocity of data – combined with increased frequency of analysis – is driving requirements for real-time analytics so enterprises can drive new business opportunities and create a competitive advantage.

I’ll be discussing the forces driving the emergence of ‘operational intelligence’ as a means of generating real-time insight into how a business is performing, and will be joined by MemSQL CEO, Erik Frenkiel.

Between us we will discuss how to:

  • Scale an in-memory analytics solution for sub-second responses on terabytes of real-time and recent historical data.
  • Reduce time-to-value by using existing SQL skills for real-time analytics.
  • Solve real-time Big Data analytics challenges such as network security, operational analytics, risk management and marketing campaign optimization.
  • Leverage real-time operational intelligence to make data-driven decisions.
  • Minimize costs with horizontal scale-out on commodity hardware.

For full details, and to register, click here.

The Data Day, A few days: April 22-26 2013

Pivotal launches. SkySQL and Mony Program merge. And much, much more

The Data Day, A few days: April 15-19 2013

‘Information governance’ in the era of big data. MariaDB Foundation takes next steps. And more.

And that’s the data day, today.

Forthcoming webinar on ‘big data’ and the ‘single version of the truth’

Many enterprises were persuaded to adopt enterprise data warehousing (EDW) technology to achieve a ‘single version of the truth’ for enterprise data.

In reality, the promises were rarely fulfilled with many stories of failed, lengthy and over budget projects. Even if an EDW project reached deployment, the warehouse schema is designed to answer a specific set of queries and is inflexible to change and accommodate growing variety of data.

On April 30 at 1pm ET I’ll be taking part in a webinar with NGDATA to discuss whether ‘big data’ technologies such as Hadoop, HBase and Solr can deliver on the promise of “single version of truth” by providing a real-time, 360° view of customers and products.

In this webinar, you will learn:

  • Why the inflexibility of EDWs failed to deliver 360° view
  • How big data technologies can finally make 360° view a reality
  • Overview of an interactive Big Data management solution
  • Best practices and success stories from leading companies

For more details, and to register, click here.

The state of the MySQL ecosystem

I’ll be on a whistle-stop tour of California next week, including two presentations at the Percona Live MySQL Conference and Expo.

On day one at 1:20pm I’ll be presenting CAP Theorem: Two out of three ain’t right, in which I will be challenging the popular ‘two out of three’ explanation of CAP Theorem, examining the evidence from a variety of experts, including Dr Eric Brewer.

Then on day three at 9:00am I’m very honoured to be providing a keynote presentation, The State of the MySQL Ecosystem.

Here’s an overview of the presentation:

It is now over three years since Oracle acquired MySQL along with Sun Microsystems. Fears for the open source database’s survival appear to have been misplaced as Oracle has increased investment in MySQL development. At the same time, a thriving ecosystem of potential alternatives and complementary products has emerged to provide MySQL users with greater choice in terms of both functionality and support. As a result of that choice, we are seeing the increasing independence of the ecosystem of MySQL-related products and services from MySQL itself – both in terms of a commercial product, and also a development project. The continued maturity of vendors such as Percona and SkySQL, as well as the formation of the MariaDB Foundation, has the potential to accelerate that trend. The MySQL ecosystem is far from fragmenting, but 451 Research’s updated survey of database users indicates that the center of gravity has begun to shift towards an increased state of independence.

Beyond our own presentations of course there is a huge number of presentations of interest during the event from both users and vendors, and I’m looking forward to attending as well as presenting.

If you haven’t already registered you can do so now and get 15% off by using the code “SpeakMySQL” at checkout. Register here.

The Data Day, A few days: April 9-12 2013

Funding for MarkLogic and ParElastic. And more

And that’s the data day, today.

The Data Day, A few days: March 29-April 8 2013

Tableau preps IPO. Funding for SiSense and Deep. And more.

* For 451 Research clients: Citus Data brings SQL to foreign data environments, starting with Hadoop

* For 451 Research clients: With $20m in series B funding in the bag, Platfora makes its Hadoop-based analysis debut

* Tableau Software Files Registration Statement For Proposed Initial Public Offering.

* SiSense raises $10m series B funding.

* Deep Information Sciences scores $10M for its general-purpose database.

* IBM launches BLU Acceleration, PureData System for Hadoop.

* SAP: Is HANA growth overstated?

* VMWare announces the launch of Serengeti 0.8.0.

* MySQL and the forks in the road.

The Data Day, A few days: March 25-28 2013

Google pledges patent support for OSS. Basho open sources Riak CS. And more

And that’s the data day, today.

NoSQL LinkedIn Skills Index – March 2013

As Q1 comes to a close its time to take another look at our NoSQL LinkedIn Skills Index, based on the number of LinkedIn member profiles mentioning each of the NoSQL projects. This is the second update since we rebooted the analysis in September 2012 to account for more products and refine our search terms.

NoSQL_Mar

A few interesting statistics to pick out: Neo4j has, as predicted, jumped ahead of MarkLogic for sixth place. No other changes of position, but outside the top ten, shown here, Apache Accumulo continues to grow well.

In fact, Apache Accumulo had the fastest rate of growth for the second quarter in succession, just ahead of DynamoDB and OrientDB -once again – followed by Apache Cassandra and MongoDB.

MongoDB’s growth means that it once again extended its lead as the most popular NoSQL database, according to LinkedIn profile mentions. As the chart below illustrates, it now accounts for 46% of all mentions of NoSQL technologies in LinkedIn profiles, according to our sample, compared with 45% in December.

NoSQL_Mar2

Big Data and the Cloud: A Perfect Storm? – expanded edition

451 Research will be hosting its annual HCTS EU event in London on April 9/10. The event includes presentations from 451 Research, Uptime Institute and Yankee Group analysts, as well as representatives from vendors and enterprises – such as HCBS, The BBC, Google, Morgan Stanley, Greenpeace, News International, BNP Paribas, and ING.

We also have a guest speaker in Tim Harford author of “The Undercover Economist”.

As if that wasn’t enough, I’ll be presenting the expanded version of my “Big Data and the Cloud: A Perfect Storm?” presentation.

As I previously wrote ahead of presenting the shortened version at Cloud Expo Europe, many people seem to believe that cloud computing and big data have the potential to create a perfect storm of disruption.

However, 451 Research has been tracking the adoption of data management technologies on the cloud – and the lack of it – since relational databases became available on AWS in 2008, and the effect of the confluence of big data and the cloud would perhaps better be described as dead calm, rather than a perfect storm. Other than development and test environments, adoption has been limited.

In my presentation I’ll take a look at the factors that have restricted adoption of databases in the cloud to date – including some exclusive results from our recent database survey – explain why we see the potential for cloud database growth in the coming years, and examine how the strategies of emerging Hadoop- and database-as-a-service providers are evolving to ensure that big data and the cloud combine to fulfil their potential to disruptive the IT landscape as we know it.

For full details of the event, and to register, click here.