WEBINAR: How Enel Group built a data mesh architecture with Dremio and Agile Lab - 9 June 2022

 

How Enel Group built a data mesh architecture with Dremio and Agile Lab       Register Now             Thursday, June 09, 2022   11 AM CET         Speakers         Jeremiah Morrow Partner Solution Marketing Director Dremio Nicolò Bidotti Big Data Architect Agile Lab         Achille Barbieri Senior Project Manager ENEL         Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases, yet they are challenged with providing access to all of their data across business units, regions, and cloud environments. In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance. An example of datamesh paradigm adoption. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units Leveraging Dremio for data governance and multi-cloud with Arrow Flight.

As FTC cracks down, data ethics is now a strategic business weapon by Daniel Wu via @TechCrunch

Five billion dollars may not be much for a behemoth like Facebook, but it’s still the largest amount the Federal Trade Commission has ever levied for violating data privacy. With the FTC cracking down, many companies are taking a new look at their privacy protections.

This is a well thought out article that makes some very good points. I certainly think very hard about sharing any of my own personal data and don't trust Facebook as far as I could throw them (nowhere).

Mastering the 12 agile software development principles by Anthony Coggine via @infomgmt

We explore the 12 core principles of agile software development outlined in the Agile Manifesto to help you make sense of the sometimes esoteric text.

Interesting thoughts and well worth a read to check you are following all of the principles.

8 ways agile methodologies can improve a firm’s culture by Greg Robinson via @infomgmt

Agile project management is becoming hugely popular. It's no wonder. Agile teams are proving that traditional project management strategies fall short. Startups and large corporations are adopting agile principles to stay competitive.

Seems Agile is the way to go if you want to have a more cohesive team that works better together and is happier while they are doing it. 

5 top strategies to make development cycles more efficient by Charles Dearing via @infomgmt

Software development is fraught with all sorts of pitfalls. Adopting the principles of Agile software development is one way to combat these inevitable pitfalls.

Some useful advice.

Tying an agile data management strategy to business goals by Rudraksh Bhawalkar via @infomgmt

As organisations evolve from regular business processes to digital businesses, those that do not have a sharp focus on data will fail to keep up with their more advanced peers.

I think Rudraksh is right and that going digital does not change the needs for accurate and correct data it emphasises it.  Make sure you add time to sort out the data properly as part of your data initiatives.

Embracing agile software methodologies to improve workflows by Lisa Froelings via @infomgmt

The most efficient and effective method for creating software is keeping a realistic timetable. Having bouts of productivity is counter to the process. A steady, consistent pace is of the utmost importance.

From a personal perspective I have worked for an organisation that set impossible timescales and did not allow the right amount of time to develop software properly. Just like you need to embrace the methodology you also need to plan correctly and not give in to pressures on dates - if the date has to come in then scope should be removed.

As NoSQL thrives, so does data modelling by Pascal Desmarets via @infomgmt

But a new approach is needed to support agile development.

Here are a couple of useful articles on Agile Data Modelling:

Agile/Evolutionary Data Modelling: From Domain Modelling to Physical Modelling by @scottwambler

and

Fundamentals of Data Modelling in Agile Environments by Jelani Harper

Agile In Data Science: Ensuring Assurance Scoring Answers the 'Ask'via @infomgmt

Agile In Data Science: Ensuring Assurance Scoring Answers the 'Ask' by Toby Gamm via +Information Management - The first key to delivering a solution that adds not only immediate business value but also achieves maximum potential is in the appreciation of the exact requirements of the range of stakeholders.

Good blog by Toby.

WEBINAR: Engaging the Business: Agile, Collaborative Approaches to Data Usability - 15 December 2015

Engaging the Business: Agile, Collaborative Approaches to Data Usability

TDWI Speaker:David Loshin, President of Knowledge Integrity

Date: Tuesday, December 15, 2015

Time: 9:00 a.m. PT, 12:00 p.m. ET

Register

Webinar Abstract

The term “data-driven” has become an accepted principle for modern organizations, but to drive modern, agile businesses, each data consumer’s view of enterprise data must both align with individual data quality and usability criteria and remain consistent with other data users in the organization. While traditional data quality/data preparation tools were intended to ensure accuracy and trust, the conventional wisdom centred on a technical, IT-centric usage model.

However, two emerging realities are rapidly changing the way we think about business data usability: many data sources and exploding data volumes, and a growing sophistication regarding information and analytics among business users. Empowering business users to control and satisfy their own data usability needs implies changes to the requirements for data discovery, profiling, and quality tools. It means providing tools allowing users to eliminate the dependence on the IT department while letting them examine the data, define their own data expectations, and monitor the conformance to their unique sets of business rules.

We are beginning to see the segregation of duties as part of an agile, collabortive activity. Business owners are increasingly expected to be accountable for their data sets’ compliance with business rules, while, the IT role has transitioned to infrastructure management to ensure that business rules can be executed. In this webinar we examine the changing face of data preparation and data quality tools.

Attendees will learn about:

• Changing requirements for data preparation, data profiling, and data quality
• Collaboration between business and IT staff
• Shifts in methods of interaction for data usability tools
• Pushing data stewardship to the business edge
• Accountability for managing data risks

Agile Development And Data Management Do Coexist via @infomgmt

Well, if you can't beat them, join them . . . and that's what your data management pros are doing, jumping into Agile development for data.

Interesting article from Information Management.

WEBINAR: When Agile, DevOps and Lean Aren't Enough - July 14 2015

DATE: Tuesday July 14, 2015

TIME: 12:00 PM EDT

Presented by Forrester Principal Analyst, Kurt Bittner
& Tasktop's Chief Product Officer, Dave West

Under pressure to speed software delivery, IT organizations have adopted modern methods (Agile, DevOps, Lean and Continuous Delivery) and have invested in best-of-breed tools from multiple vendors… but many aren't seeing the results they were expecting.

In this webinar, Forrester Principal Analyst Kurt Bittner will present his analysis of the modern application delivery ecosystem and will describe how organizations can thrive in this multi-vendor, multi-methodology market.

FEATURED SPEAKERS:

Kurt Bittner

Forrester, Principal Analyst

David West

Tasktop, Chief Product Officer

Register here

Systems of Insight Will Power Digital Businesses

Big data, advanced analytics and agile BI are all about turning data into insight. But that is only part of the solution. Read this blog on +Information Management

5 Agile Leadership Practices Where CIOs Can Help Data Scientists

Interesting blog from +Isaac Sacolick

I agree with his point about prioritisation - often I see where not doing that correctly if at all have caused a point of failure.