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Articles about Data Management
College Board pulls back from plan to score individual socioeconomic challenges
After complaints about a plan to score students on their socioeconomic challenges or privilege, College Board revamps its data strategy with a tool called Landscape that will offer context on high schools and neighborhoods.
From low code and cloud, to AI and encryption: What you do with data needs to be about more than buzzwords
Just as every company is now a technology company because you can't be in business without technology, every company is a data company - but most companies don't know about data or what to do with it.
eHealth NSW nears completion of electronic medical records system
eHealth NSW said it's part of a 10-year plan to deliver a citizen-centric healthcare system.
Segment builds up executive team, aims for the enterprise market
With new competition from Oracle, Salesforce and Adobe looming, Segment is accelerating its expansion.
Rubrik expands into data governance, other new markets
In just five years, the data management company has earned a $3.3B valuation; now it's rolling out new services and capabilities to help customers derive more value out of their data.
Hybrid cloud serves as bridge to our bright all-cloud future
Not everyone is ready for the changes cloud will bring. Hybrid provides an interim step.
Experian buys MyHealthDirect, expands healthcare data footprint
Healthcare represents about 8% of Experian's customer base. Financial services and direct to consumer are the two largest customer bases.
Zebra extends NFL partnership for player tracking via RFID
Zebra said its MotionWorks Sports tracking system captures player speed, distance traveled, proximity as well as acceleration and deceleration.
Cockroach Labs: With new funding, its future belongs in the cloud
Cockroach Labs has just doubled its funding, coming on the heels of a year where it has multiplied its customer base. Its next challenge is making the case that its platform is not just for the elite usual suspects. That’s where the cloud may play a key role.
DataStax expands partnership with VMware to support hybrid cloud
The expanded partnership will help enterprises that want to develop and run databases uniformly across the hybrid cloud.
Will HPE be MapR’s happy ending?
A few weeks after the clock was supposed to run out, HPE has swooped in to become MapR’s white knight. With some of the pieces to transform MapR into a hybrid cloud platform, will this be a match made in heaven?
Microsoft buys data-access control vendor BlueTalon
BlueTalon, based in Redwood City, Calif, will become part of Microsoft's Azure Data Governance Group.
Informatica makes the case: Why data needs AI and vice versa
As the data domain explodes beyond the enterprise walled garden, Informatica’s strategy has evolved to fighting fire with fire.
Microsoft looks to 'do for data sharing what open source did for code'
Microsoft is working to standardize data-sharing terms via pre-designed licensing agreements, the first of which now are available for preview and comment.
Forget silicon - SQL on DNA is the next frontier for databases
A couple of years back, even researchers would wave off using DNA to store data as something too futuristic to have any practical value. Today, you can extend PostgreSQL with the right software and bio-chemical modules, and run SQL on DNA.
When chatbots are a very bad idea
Not every business problem can be solved by using chatbots. Here are some inappropriate uses for the AI tool.
Hybrid transactional analytical processing
Traditionally, operational databases and platforms for data analysis have been two different worlds. This has come to be seen as natural, as after all the requirements for use cases that need immediate results and transactional integrity are very different from those that need complex analysis and long-running processing.
Insight Platforms as a Service
Remember how we noted data is going the way of the cloud? While there are no signs of this slowing down, there's another interesting trend unraveling, the so-called Insight Platforms as a Service (IPaaS). The thinking behind this is simple: if your data is in the cloud anyway, why not use a platform that's also in the cloud to run analytics on them, and automate as much of the process as possible?
Streaming becomes mainstream
The endless streams of data generated by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?
The machine learning feedback loop
The pace of change is catalyzed and accelerated at large by data itself, in a self-fulfilling prophecy of sorts: data-driven product -> more data -> better insights -> more profit -> more investment -> better product -> more data. So while some are still struggling to deal with basic issues related to data collection and storage, governance, security, organizational culture, and skillset, others are more concerned with the higher end of the big data hierarchy of needs.
Moving up the analytics stack
As descriptive and diagnostic analytics are getting commoditized, we are moving up the stack towards predictive and prescriptive analytics. Predictive analytics is about being able to forecast what's coming next based on what's happened so far, while prescriptive analytics is about taking the right course of action to make a desirable outcome happen.
Photos: How FC Barcelona uses football player data to win games
FC Barcelona is focusing on data analysis to give it an edge on the soccer field and at the bank.
A graph is a graph is graph? RDF vs LPG
Not all graphs are created similar. Here are the main differences between RDF and LPG, as presented by Jesus Barrasa, Director Telecoms Practice, Neo4j: http://bit.ly/howSemanticIsYourGraph
Photos: Zuckerberg offers glimpse inside Facebook's cavernous Arctic datacenter
Facebook CEO Mark Zuckerberg has shared a series of pictures from the social network's datacenter site up near the Arctic Circle in Sweden.
Super Bowl 50: Big tech bringing top talent to keep fans entertained, connected
Estimates peg more than one million people will visit Super Bowl City alone in the two weeks leading up to Super Bowl Sunday. No word yet on how many Instagrams of burritos and palm trees that could produce.
Presenting the 20 dumbest Ashley Madison passwords, in no particular order
Ashley Madison users have many priorities. Apparently, an airtight password is not one of them.
How to dominate at any tech job using spelling bee tips
Letter rip: Lessons any high-tech office warrior can learn from the teenage word masters of the National Spelling Bee
AT&T hauling cows, cheese wheels and a giant eyeball to Outside Lands
The annual Outside Lands music and food extravaganza marks the first occasion where AT&T is deploying all three of the biggest wireless tools in its arsenal at a single festival.
Inside CERN's datacenter helping the Large Hadron Collider probe the Big Bang: Photos
As well as acting as the hub for a grid of scientific institutions around the world, CERN's datacenter has to cope with vast amounts of raw data from its particle physics experiments.
IBM's Chef Watson mixing big data with Bon Appétit foodie favorites
There's no better way to put Chef Watson to the test than actually putting on an apron, heading down to the kitchen and taste whatever big data actually has to offer.
eHealth NSW nears completion of electronic medical records system
eHealth NSW said it's part of a 10-year plan to deliver a citizen-centric healthcare system.
The Customer Data Platform market takes off
ZDNet's Stephanie Condon tells Karen Roby how businesses are using CDPs to keep up with customer expectations. Read more: https://zd.net/31JqHxg
DNA data storage offers great potential for parallel processing
A couple of years back, even researchers would wave off using DNA to store data as something too futuristic. Today, you can run PostgreSQL on DNA. Read more: https://zd.net/2KyplhF
Quality Data: The first mile of machine learning
To launch an effective machine learning initiative, companies need to start with quality data -- and maintain steady flow of data to keep models updated, explains Dale Brown, Head of Operations at Figure Eight.
The challenges of finding an alternative to Facebook
Yes, Facebook is a data-driven monopoly. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. Read more: https://zd.net/2Hw5EqA
How Wayfair approaches natural language processing, machine learning and returns
ZDNet's Larry Dignan caught up with Dan Wulin, head of data science and machine learning at Wayfair to talk about how the company is using natural language processing for unstructured data and tracking returns on machine learning investment.
Designing an automated warehouse
Sawyer Bateman, chief technology officer at EasyPost, tells Tonya Hall about the role data science plays in the creation of an automated warehouse.
How data management works at NASA
ZDNet's Tonya Hall talks with Dr. David Meza, chief knowledge architect at NASA, to learn more about NASA's data management process.
How the American Cancer Society is applying machine learning to decades-old data
Mia Gaudet, ACS strategic director for breast and gynecologic cancer research, explains how machine learning techniques are advancing a research study launched in 1992 and what it took to prepare the data for analysis.
How Brinker International thinks through cloud, data, Apple iPads
Brinker, the company behind the Chili's restaurant chain, is big on hybrid whether it's the approach to cloud computing, data science and the front end customer experience via a pilot with Apple iPads. We caught up with Wade Allen, chief digital officer of Brinker, to talk shop.
How mixed reality is defining our interactions with data
ZDNet's Greg Nichols tells TechRepublic's Karen Roby about how augmented reality and virtual reality are working to change the way we interact with data.
Shifting data from local to the cloud
Tonya Hall talks with Clifford Madru, vice president cloud solution architecture and engineering at Iron Mountain, about the best way to approach transferring local data to the cloud.
French startup developing ultra-low power open-source AI chips for IoT
What if machine learning applications on the edge were possible, pushing the limits of size and energy efficiency? GreenWaves is doing this, based on an open-source parallel ultra low power microprocessor architecture. Read more: https://zd.net/2Nu2t43
Notorious scam group targets universities and non-profits with gift card scheme
Schools and charities beware: if someone pretending to be your boss emails you to buy Apple iTunes or Google Play gift cards, it’s almost certainly a scam.
Can we always trust the core IoT data stream?
Jason Hart, chief technology officer, of enterprise and cybersecurity at Gemalto, tells Tonya Hall that 79% of respondents want government standards regarding the core IoT data stream.
PDF-eXPLODE
For standard invoices and reports requiring efficient delivery, PDF-eXPLODE could well be a lifesaver. It can be a bit touchy on occasion, but once your document templates are set up properly it should be plain sailing.
InterSystems launches CACHÉ 2007
InterSystems launches CACHÉ 2007, the latest update to their post-relational database product.
IBM DB2 9
IBM's DB2 database adds several powerful new tools in version 9 including native XML support and DB2 Developer Workbench, and offers serious competition to Oracle and Microsoft.
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