by Angela Guess Vicky Falconer recently wrote in Business Spectator, “Just think what $48 billion could buy… What is that figure and why is it relevant? According to a new report from PricewaterhouseCoopers, that is the sum of money the Australian economy left on the table last year and wasted due to its inability to […]
2016 Advancements Will Hinge on Big Data
Click to learn more about Ross Garrett. Just as fax machines have been replaced by email, and floppy disks with USB drives and the cloud, so too will new advancements in technology render aspects of today’s status quo obsolete in 2016. However, the changes on the horizon will first have to overcome the inevitable obstacle […]
The 3 Biggest Big Data Trends of 2016, According to a New Report
by Angela Guess Ken Hess recently wrote in ZDnet, “In a new survey conducted by Syncsort, 250 prominent respondents including data architects, IT managers, developers, business intelligence/data analysts, and data scientists weigh in on big data trends to watch in 2016. Two-thirds of those surveyed work in companies with over $100 million in annual revenue. […]
Applying Big Data to the Practice of Law
by Angela Guess Bernard Marr recently wrote in Forbes, “The legal system generates a huge and ever-increasing amount of data. Each new case brought to court (and there are 350,000 in the US alone each year) increases the body of knowledge that a lawyer has to get to grips with to do their job. Judicial […]
2016 Trends in NoSQL: Next Stages of Development
The myriad NoSQL database offerings in the marketplace today are testament to the fact that such systems, along with their diverse architectures, are here to stay. Such a statement was not the case only a few years ago when such “trends” were still the purview of industry thought leaders, innovative startups, and apocalyptic harbingers proclaiming […]
6 Big Trends for Big Data
by Angela Guess Daniel Fallmann recently wrote in IT Pro Portal, “Big Data is no longer just a marketing department slogan, and is increasingly becoming a more vital and integral part of current IT strategies. No wonder, because the pioneering technology helps companies to link scattered corporate data and information and to use it intelligently […]
American Express’s Use of Big Data and Machine Learning
by Angela Guess Bernard Marr writes in Data Informed, “American Express handles more than 25 percent of credit card activity in the United States and, in 2014, surpassed handling $1 trillion in transactions. The company interacts with people on both sides of transactions: millions of businesses and millions of buyers. So it’s no surprise then […]
The Key to Unlocking Big Data is Machine Learning
by Angela Guess Ben Rossi recently wrote for Information Age, “A recent Gartner survey found that more than 75% of companies are currently investing or planning to invest in big data initiatives over the next two years. This heightened interest has led analysts to speculate that big data project investments will reach $242 billion in […]
Pros and Cons: Warehouse vs. Data Lakes
Learn more about Thomas Hazel. This column will not be the proverbial “Pros and Cons” article, weighing the good with the bad. One can find such content habitually year after year and month after month, all of which will outline the obvious advantages and disadvantage between any two things. This is particularly prevalent in the […]
What Happens Now that Big Data Has Gone Mainstream?
by Angela Guess Jessica Davis recently wrote in InformationWeek, “Many organizations are still in transition as they look at the data they have, the data they want to add, the products and services they want to create with that data, and what infrastructure and tools they need to accomplish those goals, according to Randy Bean, […]