INDUSTRY INSIGHTS YOUR PEERS ARE READING
PMUs generate huge amounts of data that help […]. Big Data and Analytics CTO NewsRead Zayan Guedim explain how a new hybrid system combines classical machine learning techniques with quantum computation to optimize the management of the power grid on Edgylabs blog : Strategically deployed across the grid, Phasor Measurement Units (PMUs) are sensor devices that measure currents and voltages at a particular time. MORE
Microsoft announced Azure Data Box updates – #blogtobertech Microsoft announced Azure Data Box is the first in a series of four posts looking at Data Box including a test drive experience. View Part 2 Microsoft Azure Data Box Family, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box […] The post Microsoft announced Azure Data Box updates #blogtobertech appeared first on StorageIOblog. MORE
In this post, I want to talk about one of the most important aspects of digital maturity: Data Maturity. Before you can even hope to be digitally mature, you must reach data maturity. What is Data Maturity? You’ve got to understand the following: where the data came from? MORE
The hype around big data got several things right: data volumes are big and growing quickly. Digital transformation – as well as the growing adoption of IoT and the ubiquity of the device (aka “mobile phone”) that we all carry with us – has accelerated the growth of data. MORE
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? This customer-centric, data-driven approach is what most organizations are driving toward with their digital transformation initiatives. MORE
Data governance is good for you, they said. Data governance de-risks your business, they said. Data should be owned by the business, they said. It’s my guess that data governance is not, quite, working for you. How’s that working for you? MORE
Two years ago when I reported from Strata NYC I shared how new data prep technologies were bringing data integration and data quality capabilities to business users. Instead of waiting for IT to ETL experimental data into the data warehouse or data lake, business users apply tools like Tableau Prep, Trifacta Wrangler, or Talend Data Preparation, to perform profiling, cleansing, and. agile data AI big data data management data scientist innovation MORE
Microsoft Azure Data Box Family #blogtobertech Microsoft Azure Data Box Family is part two of a four-part series looking at Data Box. View Part 1 Microsoft announced Azure Data Box updates, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box Disk Impressions. Microsoft Azure Data Box Overview Microsoft […] The post Microsoft Azure Data Box Family #blogtobertech appeared first on StorageIOblog. MORE
I remember a few years ago when, as enterprise architects, we sat around in the office of the VP of architecture and planned our data strategy on the whiteboard. Enterprise data model? The dreaded data governance plan? MORE
Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. data management MORE
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? Utilizing proper data management and the data lake concept , companies can begin to build much broader viewpoints into their customer base. MORE
I’m getting more and more psyched about our first-ever Data Strategy & Insights 2018 Forum as I work on the sessions with my colleagues here at Forrester and with our external speakers. The topics are spot on for what organizations need from data and analytics today, and the sessions are going to be inspirational and […]. MORE
I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. Build a data lake (and utilize it). MORE
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. MORE
In particular, there has been a significant increase in demand for data scientists. Companies are searching and competing for increasingly scarce data scientists as the […]. Artificial Intelligence Big Data and Analytics Cloud Computing CTO artificial intelligence big data data data engineer data scientist Enterprise MORE
I don't like the term 'data governance'. Why would anyone want to back a governance initiative especially one tied to data? But anyone leading data efforts knows data governance is a long. big data cio data management data scientist securityPeople - and especially leaders don't know what it means and often put up mental walls whenever they hear the word 'governance'. Governance is bureaucratic. It slows organizations down and creates tension. MORE
Often times, the journey to data driven business transformation can not only be challenging, but also confusing. The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. Mapping Big Data (oreilly.com). MORE
Big data has moved from buzzword to being a part of everyday life within enterprise organizations. An IDG survey reports that 75% of enterprise organizations have deployed or plan to deploy big data projects. That’s where a Chief Data Officer (CDO) enters the picture. MORE
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. MORE
Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. MORE
What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Data modeling has many different definitions and connotations. You don’t have a data strategy? MORE
Here's my synopsis on a great start to day 2 of Strata Data day two. It began with a series of thought provoking topics; eliminating noise; driving faster data; successful data science by becoming boring; and Eliminating Noise and AI for Compliance Amber Case of the MIT Media Lab talked about the noise, and the abundance of alerts that surround all of us. agile data AI big data cio data management data scientist digital transformation MORE
Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process the data into data lakes, data hubs, data warehouses, and data marts; and build business intelligence (BI) and analytics applications to understand what the data is telling […]. MORE
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? MORE
The success of data-driven projects has quite a few challenges and barriers. Data has become probably the most valuable asset that companies could have nowadays. The post Three questions you need to answer to succeed in data-driven projects appeared first on Dataconomy. MORE
Managers like to talk about the power of data and analysis, and the opportunity it gives them to launch new products and reach new customers. The former has opened up companies to new security risks while the latter has left some customers feeling uneasy about the privacy of their data. MORE
I participated in the #DataCtrChat Twitter chat last week to join in on the conversation about the Agile Data Center. The #DataCtrChat is a great one to be a part of, especially if you’re interested in the data center. Every company has a different view about their data center. MORE
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. MORE
Today, business users need trusted data fast to make better business decisions, while BT wants to lower costs, minimize complexity, and improve efficiency. In addition, the proliferation of data, and explosion of new data sources such as social media, IoT and mobile further aggravates the issue. Poorly integrated business data often leads to poor business […]. MORE
According to some estimates, data scientists spend as much as 80% of their time getting data in a format that can be used. As a practicing data scientist, I’d say that is a fairly accurate estimate in many organizations. 19% of time spent building and modeling data. MORE
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. MORE
There’s a recurring assumption in discussions about internet of things (IoT) platforms: The platform providers make their money by mining insights from data loaded into their platform. MORE
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself. MORE
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. MORE
How much is bad data costing you? In this article I give an example of what the cost of bad data really is. The cost of bad data. What do they know about data management? The cost of bad data is high regardless of what the number actually shows. MORE
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. MORE
Data Related Topics Forrester IT
NOVEMBER 19, 2018
I remember a few years ago when, as enterprise architects, we sat around in the office of the VP of architecture and planned our data strategy on the whiteboard. Enterprise data model? The dreaded data governance plan?
Forrester IT
NOVEMBER 5, 2018
There’s a recurring assumption in discussions about internet of things (IoT) platforms: The platform providers make their money by mining insights from data loaded into their platform.
Eric D. Brown
NOVEMBER 1, 2018
Big data has moved from buzzword to being a part of everyday life within enterprise organizations. An IDG survey reports that 75% of enterprise organizations have deployed or plan to deploy big data projects. That’s where a Chief Data Officer (CDO) enters the picture.
Eric D. Brown
NOVEMBER 13, 2018
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? Utilizing proper data management and the data lake concept , companies can begin to build much broader viewpoints into their customer base.
Eric D. Brown
OCTOBER 23, 2018
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? This customer-centric, data-driven approach is what most organizations are driving toward with their digital transformation initiatives.
Eric D. Brown
FEBRUARY 5, 2018
I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. Build a data lake (and utilize it).
Eric D. Brown
SEPTEMBER 18, 2017
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.
Forrester IT
NOVEMBER 6, 2018
The hype around big data got several things right: data volumes are big and growing quickly. Digital transformation – as well as the growing adoption of IoT and the ubiquity of the device (aka “mobile phone”) that we all carry with us – has accelerated the growth of data.
Eric D. Brown
OCTOBER 9, 2018
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself.
Forrester IT
NOVEMBER 14, 2018
Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process the data into data lakes, data hubs, data warehouses, and data marts; and build business intelligence (BI) and analytics applications to understand what the data is telling […].
Datacponomy
NOVEMBER 8, 2018
Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises.
CTOvision
OCTOBER 26, 2015
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.
Forrester IT
NOVEMBER 15, 2018
Today, business users need trusted data fast to make better business decisions, while BT wants to lower costs, minimize complexity, and improve efficiency. In addition, the proliferation of data, and explosion of new data sources such as social media, IoT and mobile further aggravates the issue. Poorly integrated business data often leads to poor business […].
Eric D. Brown
JULY 26, 2016
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.
Forrester IT
OCTOBER 18, 2018
Data governance is good for you, they said. Data governance de-risks your business, they said. Data should be owned by the business, they said. It’s my guess that data governance is not, quite, working for you. How’s that working for you?
CTOvision
NOVEMBER 6, 2018
PMUs generate huge amounts of data that help […]. Big Data and Analytics CTO NewsRead Zayan Guedim explain how a new hybrid system combines classical machine learning techniques with quantum computation to optimize the management of the power grid on Edgylabs blog : Strategically deployed across the grid, Phasor Measurement Units (PMUs) are sensor devices that measure currents and voltages at a particular time.
Eric D. Brown
AUGUST 9, 2018
In this post, I want to talk about one of the most important aspects of digital maturity: Data Maturity. Before you can even hope to be digitally mature, you must reach data maturity. What is Data Maturity? You’ve got to understand the following: where the data came from?
Eric D. Brown
AUGUST 10, 2016
What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Data modeling has many different definitions and connotations. You don’t have a data strategy?
Eric D. Brown
OCTOBER 3, 2017
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.
Eric D. Brown
MAY 15, 2018
How much is bad data costing you? In this article I give an example of what the cost of bad data really is. The cost of bad data. What do they know about data management? The cost of bad data is high regardless of what the number actually shows.
Social, Agile and Transformation
SEPTEMBER 13, 2018
Here's my synopsis on a great start to day 2 of Strata Data day two. It began with a series of thought provoking topics; eliminating noise; driving faster data; successful data science by becoming boring; and Eliminating Noise and AI for Compliance Amber Case of the MIT Media Lab talked about the noise, and the abundance of alerts that surround all of us. agile data AI big data cio data management data scientist digital transformation
CTOvision
JULY 26, 2015
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.
Forrester IT
OCTOBER 24, 2018
I’m getting more and more psyched about our first-ever Data Strategy & Insights 2018 Forum as I work on the sessions with my colleagues here at Forrester and with our external speakers. The topics are spot on for what organizations need from data and analytics today, and the sessions are going to be inspirational and […].
Forrester IT
SEPTEMBER 19, 2018
Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. data management
CTOvision
OCTOBER 6, 2015
Often times, the journey to data driven business transformation can not only be challenging, but also confusing. The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. Mapping Big Data (oreilly.com).
CEB IT
SEPTEMBER 14, 2017
Managers like to talk about the power of data and analysis, and the opportunity it gives them to launch new products and reach new customers. The former has opened up companies to new security risks while the latter has left some customers feeling uneasy about the privacy of their data.
Social, Agile and Transformation
JULY 30, 2018
I don't like the term 'data governance'. Why would anyone want to back a governance initiative especially one tied to data? But anyone leading data efforts knows data governance is a long. big data cio data management data scientist securityPeople - and especially leaders don't know what it means and often put up mental walls whenever they hear the word 'governance'. Governance is bureaucratic. It slows organizations down and creates tension.
Social, Agile and Transformation
SEPTEMBER 17, 2018
Two years ago when I reported from Strata NYC I shared how new data prep technologies were bringing data integration and data quality capabilities to business users. Instead of waiting for IT to ETL experimental data into the data warehouse or data lake, business users apply tools like Tableau Prep, Trifacta Wrangler, or Talend Data Preparation, to perform profiling, cleansing, and. agile data AI big data data management data scientist innovation
Storage IO Blog
OCTOBER 31, 2018
Microsoft Azure Data Box Family #blogtobertech Microsoft Azure Data Box Family is part two of a four-part series looking at Data Box. View Part 1 Microsoft announced Azure Data Box updates, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box Disk Impressions. Microsoft Azure Data Box Overview Microsoft […] The post Microsoft Azure Data Box Family #blogtobertech appeared first on StorageIOblog.
Eric D. Brown
AUGUST 6, 2015
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.
Eric D. Brown
JULY 19, 2016
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?
Storage IO Blog
OCTOBER 31, 2018
Microsoft announced Azure Data Box updates – #blogtobertech Microsoft announced Azure Data Box is the first in a series of four posts looking at Data Box including a test drive experience. View Part 2 Microsoft Azure Data Box Family, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box […] The post Microsoft announced Azure Data Box updates #blogtobertech appeared first on StorageIOblog.
Eric D. Brown
NOVEMBER 24, 2014
I participated in the #DataCtrChat Twitter chat last week to join in on the conversation about the Agile Data Center. The #DataCtrChat is a great one to be a part of, especially if you’re interested in the data center. Every company has a different view about their data center.
CTOvision
APRIL 27, 2018
In particular, there has been a significant increase in demand for data scientists. Companies are searching and competing for increasingly scarce data scientists as the […]. Artificial Intelligence Big Data and Analytics Cloud Computing CTO artificial intelligence big data data data engineer data scientist Enterprise
Datacponomy
OCTOBER 23, 2018
The success of data-driven projects has quite a few challenges and barriers. Data has become probably the most valuable asset that companies could have nowadays. The post Three questions you need to answer to succeed in data-driven projects appeared first on Dataconomy.
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