DBTA E-EDITION
June 2019
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Trends and Applications
With deep learning so much praised, you've probably read a lot about its positive side. Let's skip the positives and instead concentrate on the things that can go wrong with deep learning-based demand forecasts as well as offer some ways to overcome these problems.
Information Governance and Data Management Initiatives: Are You Still Waiting to See What the Future Brings?
Meet the Data Privacy Challenge: Creating a Culture of Responsibility
AI, machine learning, and predictive analytics are used synonymously by even the most data-intensive organizations, but there are subtle, yet important, differences between them. Machine learning is a type of AI that enables machines to process data and learn on their own, without constant human supervision. Predictive analytics uses collected data to predict future outcomes based on historical data.
While change has always been a part of the database credo, the growing emphasis on data-driven decision making in today's economy has resulted in a dizzying plethora of technologies and methodologies entering the market. The number and scope of game-changing technologies are too numerous to mention, and one thing is certain: Database management will never be the same. We have identified some of the most promising technology initiatives, based on discussions with and input from data experts from across the industry spectrum, gathering their views on the key technologies—well-known or under the radar—that are worth watching.
Web data is the world's largest untapped source of data. And now, web data in large volumes can be captured quickly, efficiently and cost-effectively with the introduction of web data integration, a practice that identifies, extracts, prepares, and integrates data for consumption by business applications, analytics, and processes.
Quantum computing will bring unprecedented advances in medicine, science, and mathematics—knowledge currently out of reach. Many secrets of the universe are on the verge of discovery. But, are we ready for everything to be unlocked? Are we prepared to manage what comes with quantum computing's limitless architecture?
Columns - Database Elaborations
At times, there is a need to have security within the database be a bit more sophisticated than what is available. On specific tables, there may be a need to limit access to a subset of rows, or a subset of columns to specific users. Yes indeed, views have always existed, and yes indeed, views can be established limiting rows or columns displayed. However, views only can go so far.
Columns - DBA Corner
What are the practices and procedures that you have found to be most helpful to automate in administering your databases? Yes, I know that automation has been a standard claim for most DBMS vendors, as well as third-party DBA tool vendors, for many years. But are you really anywhere closer to an "on demand," "lights-out," "24/7" database environment yet?
Columns - SQL Server Drill Down
SQL Server Drill Down: What's New in the Microsoft Data Platform, Build 2019 Edition
Columns - Emerging Technologies
The blockchain technology market is generally believed to be about $2 billion in 2019 and growing at an annual rate in excess of 50%—with projections for the market to exceed $10 billion by the end of 2025. Almost all of that new spending will be cloud-oriented; very few organizations consider running their own blockchain hardware. Therefore, it's not surprising to see cloud vendors actively promoting blockchain solutions.