elastic.io at Data Natives Conference 2018

22—23 November 2018 | Kühlhaus Berlin

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22 November • 16:35 – 16:55 • Room 2

Tech talk: Data is everywhere. Literally. How do you get it in one place?

One of the main challenges with data is that there are too many data sources available nowadays. It is only in theory that you can have a ‘single point of truth’ with respect to data; the reality is far from it. Moreover, certain methods of extracting data that are good for some cases are completely useless for other. In this hands-on presentation at the Data Natives Conference '18, Igor Drobiazko will demonstrate several tools and techniques to let data seamlessly flow between your databases, data-rich platforms and applications, no matter whether in real-time or not, in the cloud or on-premises.

Igor Drobiazko is a co-founder and CTO of elastic.io, industry-first micro services-based integration platform as a service (iPaaS). Igor is an experienced open source hacker, developer/ evangelist and agile advocate. He is a PMC member at the Apache Software Foundation and author of 2 books on web development in Java programming language. Before co-founding elastic.io Igor worked at Nokia Siemens Networks, HSBC and NTT docomo.

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Still not sure whether it’s your topic?

Read Igor’s latest article:

3 Questions You Need to Answer to Succeed in Data-Driven Projects

The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions.

Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour and your business operations, drive sales and optimize delivery chains, predict product and service needs. The most exciting and promising technologies such as AI, the Internet of Things or blockchain are possible exactly thanks to the abundance of data. But does this mean that the availability of data is a guarantee for the success of a data-driven project?

Data Natives Conference

Unfortunately, some of the recent studies suggest that even with all that data floating around, the majority of projects still fail. In 2017, Gartner said that 60% of big data projects fail, but in his recent tweet, the Gartner-Analyst Nick Heudecker corrected this number, saying that back then Gartner was “too conservative” about it and the closing rate is around 85%. Another study from McKinsey revealed that companies have captured only about 10% – 40% of the value that is available in their data. Why is that?

There are many barriers and challenges to successful data-driven projects. There is a need for a change in the organisation’s culture, unrealistic goals and expectations, lack of skilled professionals. But since we are talking about data, let us focus on the issues that surround particularly this matter. There are three critical questions that data scientists and data experts need to answer immediately after a viable proof of concept for a project has been identified.

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3 Questions You Need to Answer to Succeed in Data-Driven Projects

The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions.

Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour and your business operations, drive sales and optimize delivery chains, predict product and service needs. The most exciting and promising technologies such as AI, the Internet of Things or blockchain are possible exactly thanks to the abundance of data. But does this mean that the availability of data is a guarantee for the success of a data-driven project?

Unfortunately, some of the recent studies suggest that even with all that data floating around, the majority of projects still fail. In 2017, Gartner said that 60% of big data projects fail, but in his recent tweet, the Gartner-Analyst Nick Heudecker corrected this number, saying that back then Gartner was “too conservative” about it and the closing rate is around 85%. Another study from McKinsey revealed that companies have captured only about 10% – 40% of the value that is available in their data. Why is that?

There are many barriers and challenges to successful data-driven projects. There is a need for a change in the organisation’s culture, unrealistic goals and expectations, lack of skilled professionals. But since we are talking about data, let us focus on the issues that surround particularly this matter. There are three critical questions that data scientists and data experts need to answer immediately after a viable proof of concept for a project has been identified.

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IGOR DROBIAZKO

Igor Drobiazko is a co-founder and CTO of elastic.io, industry-first micro services-based integration platform as a service (iPaaS). Igor is an experienced open source hacker, developer/ evangelist and agile advocate. He is a PMC (project management committee) member at the Apache Software Foundation and author of 2 books on web development in Java programming language. Before co-founding elastic.io Igor worked at Nokia Siemens Networks, HSBC and NTT docomo.

 

Curious what these three questions are?

Read the full article on Dataconomy
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22 November • 16:35 – 16:55 • Room 2

Data is everywhere. Literally. How do you get it in one place?

One of the main challenges with data is that there are too many data sources available nowadays. It is only in theory that you can have a ‘single point of truth’ with respect to data; the reality is far from it. Moreover, certain methods of extracting data that are good for some cases are completely useless for other. In this hands-on presentation, Igor Drobiazko will demonstrate several tools and techniques to let data seamlessly flow between your databases, data-rich platforms and applications, no matter whether in real-time or not, in the cloud or on-premises.

Image

IGOR DROBIAZKO

Igor Drobiazko is a co-founder and CTO of elastic.io, industry-first micro services-based integration platform as a service (iPaaS). Igor is an experienced open source hacker, developer/ evangelist and agile advocate. He is a PMC (project management committee) member at the Apache Software Foundation and author of 2 books on web development in Java programming language. Before co-founding elastic.io Igor worked at Nokia Siemens Networks, HSBC and NTT docomo.

Curious what these three questions are?

Read the full article on Dataconomy