BellaDati – makes big data directly accessible to business leaders

Currently, big data is a melting pot of distributed data architectures and tools like Hadoop, NoSQL, Hive and R. But, there are new companies emerging offering a toolset to make big data accessible to business leaders.

BellaDati is a fit-to-purpose products that abstract away as much of the technical complexity as possible, so that the power of big data can be put into the hands of business users.
[youtube http://www.youtube.com/watch?v=Kwm0SP_hJQQ]

BellaDati’s idea is to provide the world with a tool to reinvent the way business users interact with their data.

BellaDati is offering solutions for several industies so far:

This trend of simplifying the access to data knowledge will change the BI landscape as we know it. Martin Trgina the CEO and founder of BellaDati has this vision and manifested it by the mission statement of BellaDati:

“We believe everybody should have an answer to data questions without waiting and in a nice design. We believe that everyone can love the BI. So — we made BellaDati.”

We don’t need more data scientists — just make big data easier to use

There are already some interesting companies out-there trying to deliver the right tools to make Big Data accessible to anyone.

Read more on Scott Brave’s point of view how the country is suffering from a crucial shortage of data scientists. And how then the solution lies in creating fit-to-purpose products and solutions that abstract away as much of the technical complexity as possible, so that the power of big data can be put into the hands of business users.

Scott Brave is co-founder and CTO of Baynote, an e-tail and e-commerce advisory business.

Werner Vogels ( CTO, Amazon) is pointing out three key trends in cloud computing.

During the panel discussion on cloud computing at LeWeb 12 in Paris, Werner Vogels highlights three key trends:

1. Data Analytics

  • Companies are analyzing data sets for a deeper understanding of their customers.
  • What are their customers doing, how are they operating and how are they using the companies products.

2. Big Science

  • Accelerated science through computing power, making today calculation and search in three howers, which has taken before six month.

3. Mobile

  • All your data is in the cloud the device is just a window into it.

The panels name: Our heads are in the Cloud!
Moderator: Robin Wauters, European Editor, The Next Web
Panelists:
Aditya Agarwal, Vice President of Engineering, Dropbox
Brad Garlinghouse, CEO, YouSendIt
Werner Vogels, CTO, Amazon

The Pragmatic Definition of Big Data by Mike Gualtieri

Mike Gualtieri says; forget about the three Vs

Big data is not defined by how you can measure data in terms of volume, velocity, and variety. The three Vs are just measures of data how much, how fast, and how diverse? A quaint definition of big data to be sure, but not an actionable, complete definition for IT and business professionals. A more pragmatic definition of big data must acknowledge that:

  • Exponential data growth makes it continuously difficult to manage — store, process, and access.
  • Data contains nonobvious information that firms can discover to improve business outcomes.
  • Measures of data are relative; one firm’s big data is another firm’s peanut.

A pragmatic definition of big data must be actionable for both IT and business professionals.

The Definition Of Big Data

Big Data is the frontier of a firm’s ability to store, process, and access (SPA) all the data it needs to operate effectively, make decisions, reduce risks, and serve customers.

To remember the pragmatic definition of big data, think SPA — the three questions of big data:

  • Store. Can you capture and store the data?
  • Process. Can you cleanse, enrich, and analyze the data?
  • Access. Can you retrieve, search, integrate, and visualize the data?

Hear me explain this definition on a special episode of Forrester TechnoPolitics: The Pragmatic Definition of Big Data Explained

Read more on: Forrester Blogs

Let’s Talk Your Data, Not Big Data

‘Big data’ is a buzzword that has gone in and out of popularity since it was measured in megabytes. Unfortunately the immensity of its popularity in its current boom is doing some serious harm. Too many people are getting distracted by the ‘Big’ excitement and are only adding more friction to their goal of analysis. A recent Microsoft research investigation facetiously titled ‘No one ever got…

Read more: InnovationInsights form WIRED (The Artikel was Posted by Dave Fowler)

Big Data comes to Munich, with Keynote Speaker Philippe Souidi

Yesterday in Munich IBM held its first SmartCamp event in Germany. It was also the first SmartCamp with a specific focus on Big Data and Business Analytics.

Keynote Speaker Philippe Souidi, Founder of echofy.me, summarized this topic perfectly when he called Big Data the “Oil of the next Century”… fitting, isn’t it?

The Gate Garching, the host of the event and a Munich Technology and Entrepreneur Center, was the perfect location for mindshare around the next generation of cutting edge startups, fitting because it is the home to several in-house innovative, young companies and close to the campus of the Technical University of Munich.

Let’s learn a little more about the startups who participated. 3 Big Data and Analytics startups received intensive mentoring from 15 Mentors representing different backgrounds, different industries, and different perspectives. Mentors included VCs, angels, serial entrepreneurs and industry experts, all of which had a common interest in Smarter Analytics.

SmartCamp Participants:

Celonis Softwate Solutions is the leading vendor for the analysis of operative process data created by IT systems. Their unique analysis technology, Process Business Intelligence, enables customers to intuitively dive into their process data and use it to improve their operational performance.

HoneyTracks provides the deepest analytics solution for monetization of online games and help Game Companies to understand the success factors of their game and how it generates revenues based on big data.

JouleX Energy Manager Solutions reduces energy costs up to 60% by monitoring, analyzing and managing energy usage of all network-connected devices and systems, without the use of costly and unwieldy agents.

And the winner is… JouleX!

As expected we had some very strong teams however the judges selected Joulex as the winner. Joulex leverages big data in order to create business intelligence by aggregating and correlating the energy information from all IP-enabled devices to provide unprecedented visibility into the energy consumption and utilization of those devices throughout the distributed office, data center and facilities environments. JouleX takes this a step further by applying advanced analytics to identify energy, cost, and carbon savings opportunities and a management platform to implement policies to realize this savings.

They have offices in Germany, US and Japan and are headed by Tom Noonan – Tom was previously CEO of Internet Security Systems (ISS), which was acquired by IBM for $1.5 billion. We look forward to working with them in the coming months.

Congratulations again to Joulex, Celonis and Honeytracks, an impressive set of Analytics and Big Data startups to kick off the very first SmartCamp in Germany!

Also a very big thanks to all our partners who were key to a very successful event.

Read more on: IBM Smart Camp

Peter Voss Datameer interviewed by tecpunk

Peter Voss Datameer from newthinking on Vimeo.

Peter Voss Datameer from newthinking on Vimeo.

Peter Voss is CTO at Datameer with extensive experience in software engineering and architecture of large-scale data processing. His focus has been largely on UNIX based enterprise systems with extensive background in Java, Spring, Hadoop, Lucene and Eclipse plug-in development.

Prior to Datameer, Peter consulted on a number of big data business intelligence projects with companies such as EMI Music and Krugle. Earlier, he was architect and developer for Deutsche Post and their ePost project, a distributed production system that processed more than 1 billion letters per year. Peter studied biology and has a Diplom (i.e., a Masters) in biochemistry and bioinformatics from the University of Köln.

Recorded at berlin buzzwords 2012.
More at berlinbuzzwords.de

Produzed by Alexander Oelling and Philippe Souidi.

Nicolas Spiegelberg – Multi-tenant HBase Solutions at Facebook

Nicolas Spiegelberg – Multi-tenant HBase Solutions at Facebook from newthinking on Vimeo.

Facebook first started looking for a distributed OLTP database solution in 2010. We ultimately chose HBase as the best solution for a variety of our workloads. Since then, we have rolled out multiple large production systems using HBase. For example, our current Messages infrastructure runs on HBase and handles over 180 billion person-to-person messages per month. This talk will discuss multiple Facebook projects that are running on HBase now, our selection criteria in choosing HBase as a good fit, and the functionality we added to open source to optimize a growing variety of use cases.

More info: berlinbuzzwords.de/sessions/multi-tenant-hbase-solutions-facebook

Creative Data Agency from Germany