Data Quality – The most important data dimension?

Eric D. Brown

Take a Look at Your Data , I discuss the importance of data quality and data management in an organization’s digital transformation efforts. What is data quality? … To be of high quality, data must be consistent and unambiguous.

Data Analytics – The importance of Data Preparation

Eric D. Brown

While not as life-and-death as the above questions, data preparation is just as important to proper data analytics as learning the basics of driving before getting behind a wheel. Data preparation is important. The Importance of Data Preparation.

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Trending Sources

Big Data Project Management: Data Must Flow!


I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques.

The Data Way

Eric D. Brown

The world has become a world of data. According to Domo , the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. That’s the data way.

Paxata: Adaptive Data Preparation


Paxata developed the first Adaptive Data Preparation™ platform built for the business analyst. With seamless connections to BI tools like Tableau, QlikView, and Excel, users can combine data on their own or work with peers in a shared, transparent environment as they shape data for analytics.

Data Analytics – Prescriptive vs Descriptive

Eric D. Brown

You’ve collected tons of data. You’ve got terabytes and terabytes of data. You are happy because you’ve got data. But, what are you going to do with that data?You’ll How does data analytics come into play?

The Latest Developments In Corporate Data Security


The Latest Developments In Corporate Data Security Corporate data security is defined as the processes by which sensitive information is accessed only by authorized individuals and then destroyed when it is no longer needed. Proactive measures, including software purchases, third-party services, and internal company policies, offer data security solutions that would prevent most types of […]. Big Data Cloud Computing CTO Cyber Security

Right-Sizing Data Center Resources


One of the perennial problems of data centers is monitoring server utilization to ensure right-sizing of resources. There is even a tool to help you understand where to place new hardware in the data center based on available space, power, and cooling, to help avoid hot spots and power issues.

Why Startups Should Not Ignore Big Data


Big Data Cloud Computing CTO CIOsStartup businesses are a risky proposition. This means that if things aren’t done in the most effective way possible, businesses will never make it past the first year. The business plan can often determine whether or not a business gets passed the startup phase of the company. When creating a business plan, owners sometimes skip […].

Why Business Leaders are Clueless about Data Integration

Social, Agile and Transformation

When someone says that the data integration process is automated, I suggest asking questions to clarify what they mean by automated. agile data big data cloud computing content agility data management data scientist digital transformationYou'll probably conclude that the process is anything but automated let alone reliable, scalable, secure, or configurable.

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Data Ownership within an Organization

Eric D. Brown

Recently, I was having a conversation with an IT VP about data management, data access, reporting and analytical approaches to the data stored within the organization. Many view data as their ‘property’ because they are the ones tasked with storing and protecting it.

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How Important Is “Perfect Data” To Data Analytics Programs?


Back in 2014 I published a guest post on the Open Data Institute's web site titled How important is the quality of open data? database managers have always had to concern themselves with standards, data cleaning, corrections, and manual versus automated approaches to data quality control. Unfortunately, there's no simple answer to the question, "How clean does our data have to be to make use of it?" Know what data you have, who owns it, and who controls it.

Data Tower: a Data Center for Saruman

Data Center Knowledge

Italian architects' idea looks like a data center skyscraper from the future Tolkien would have come up with had he been asked to design a server farm Read More. Data Center Design Europe Featured Iceland

Here’s How Much Energy All US Data Centers Consume

Data Center Knowledge

Second study of its kind in history shows overall growth in data center energy use has flattened Read More. Blades Colocation Cooling Data Center Design Data Center Strategies Energy Efficiency Guide Enterprise Featured Government Infrastructure Power Regulation

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Microsoft Moves Away from Data Center Containers

Data Center Knowledge

Cloud Computing Data Center Design Data Center Strategies Featured Microsoft Modular Data Centers SaaSFinds ITPACS aren’t the best way to scale its cloud globally Read More.

Why “Data Ownership” Matters


In Understanding data ownership in the data lake Elizabeth Koumpan, Executive Architect at IBM, writes: Depending on the organizational point of view, different ownership rules may apply in different situations to data. It is a tricky part when we deal with Data ownership while using external sources, especially if we use social data which is an essential element, as we build our cases for front office digitization, customer sensitive analysis and so on.

How Your Small Business Can Begin To Use Big Data


While big data can seem like an intimidating term when you are running a small business, it can be a very useful tool to drive your business’s success. Big data, as a term, encompasses many sources of information, some of which you may already use. Big data has many benefits to offer you, from a […]. Big Data CTO News

Should Data Centers Think?

Cloud Musings

As cloud computing becomes the information technology mainstream, data center technology is accelerating at a breakneck speed. SNAP is a powerful open data center telemetry framework. It can be used to easily collect, process, and publish telemetry data at scale.

An Agile Approach to Finding Value in Dark Data

Social, Agile and Transformation

It''s been almost two years since I last blogged about the threats and opportunities around Dark Data, so when I was asked to join Joseph Bradley in Cisco''s Future of IT podcast on Navigating Dark Data To Find Hidden Value in a Digital Era I couldn''t resist.

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LinkedIn Pushes Own Data Center Hardware Standard

Data Center Knowledge

Blades Data Center Design Data Center Strategies Infrastructure LinkedIn Open Compute Racks and EnclosuresCan Open19 take hold given OCP’s wide support, including by Microsoft? Read More.

Big Data Management: A Few Pointers First-Timers Should Remember


There is no doubt about it, data is becoming vital for small and large companies. One of the major reasons data is becoming more important probably deals with its power to save money and optimize performance. Still, to many, using big data is pretty new, so it might be a good idea to consider the following tips […]. Big Data Cloud Computing CTO News Business Tech/Internet Technology Leadership

Big Data in Healthcare Will be the Norm by 2021


As the benefits of big data become more pronounced, this technology is finding a place in an increasing number of industries, not the least of which is the healthcare sector. In fact, some researchers anticipate that big data could become a staple in the way healthcare is administered by as soon as 2121. Big Data Health IT healthcare

Startup Envisions Data Centers for Cities of the Future

Data Center Knowledge

Project Rhizome brings architect sensibility to edge data center design Read More. Data Center Design Data Center Strategies Featured Internet of Things

A Timeline of Big Data Analytics


The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. The amount of data being generated in the world today is immense, and it’s only getting bigger. Some experts predict that by the year 2020, that volume of digital data will reach as high as 40 trillion gigabytes.

Microsoft: Bigger Underwater Data Center in the Works

Data Center Knowledge

Cloud Computing Cooling Data Center Design Data Center Strategies Green Data Centers Microsoft PowerEncouraged by initial Project Natick results, team prepares to go bigger and deeper Read More.

Big Data Changes Coming in 2018


Data is an overall commodity that a lot of individuals make use these days. Big Data Business Intelligence Companies CTO NewsIt's not surprising to find students trying to accomplish their work through the aid of the internet or research material being readily available online. Technology has created huge leaps for information be readily available to the masses; sifted easily with the […].

Where are you Implementing your Big Data Algorithms?

Social, Agile and Transformation

You have to load several data sets, implement some data cleansing, perform some matching to third party data, compute several aggregates, develop some rankings, group several dimensions, benchmark against another data set, analyze for trends and then normalize the data for multiple data visualizations. agile data big data data management data scientist digital transformationIt sounds like a simple question.

Deep Learning Driving Up Data Center Power Density

Data Center Knowledge

Data Center Design FeaturedHosting AI hardware is an engineering puzzle all its own. Read More.

MIT, UMass Scientists to Study Solar-Powered Data Centers

Data Center Knowledge

Researchers launch test bed data center to investigate cutting-edge green computing tech Read More. Cooling Data Center Design Green Data Centers HPC Power

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Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science


It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends.

Don't Let Your SaaS Solutions Become Tomorrow's Data Silos in the Cloud

Social, Agile and Transformation

Can your SaaS platforms support data and workflow integration or are they data silos in the cloud? I''m a big proponent of SaaS solutions especially when they offer simple user interfaces, configurable workflows and advanced analytics that enable the targeted organizations to be more productive and data driven. agile data big data cio cloud computing cmo data management data scientist innovation IOT mobile SaaS

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Leveraging Data to Improve Customer Experience

Social, Agile and Transformation

about me AI cio citizen development cmo customer experience data management data scientist digital transformation innovation organizational changeLet’s consider a very typical digital opportunity. A company has a website enabling customers to log in, view recent activity, execute new transactions, and learn about new opportunities.

Uptime: Colocation Firms are Building Fewer Data Centers

Data Center Knowledge

Colocation Data Center Design Data Center Strategies Enterprise FeaturedThe trend toward building fewer but larger facilities continues Read More.

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