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Planning a Successful Cloud Migration

Cloud migration benefits center primarily around increased efficiency. The ideal results of a successful cloud migration yield a more intelligent allocation of resources that allows companies to focus on their core competencies. Within that, successful migrations reduce IT costs, improve the end-user experience and increase scalability and security. Once adopted, cloud computing users can reduce capital expenditures and decrease maintenance and operational costs—ensuring maximum results with minimal expenses. However, not every migration is successful, and the process can be complex, leading to mistakes that can hinder the journey and incur negative ramifications. Read More

5 Top Reasons Analytics Adoption Fails

The value of analytics is fairly easy to realize when implemented correctly. As businesses start to see increased operational efficiency, more successful marketing campaigns, improved customer retention, and many other benefits, adoption will continue to improve and analytics will soon be driving the decision making of the entire organization. Read More

Does a Lack of AI Security Mean More Cyberattacks are Coming?

We can count on seeing more cyberattacks and there are two reasons for that. First, as AI becomes more ubiquitous and embedded in our everyday lives, it presents yet another threat surface hackers will seek to exploit to wreak havoc at scale. More AI, more attacks. Second, the Silicon Valley "move fast and break things" model has meant that historically teams have pushed a lot of code into production without putting security guard rails in place. The same thing is now happening with AI. We're so focused on getting novel capabilities into production—that we prioritize first-to-market movements over security, leaving the door open for exploitation. Read More

The New Data Analytics: Riding on Data Lakes, Data Warehouses, and Clouds

What types of platforms are most viable for modern data analytics requirements? These days, there are a wide variety of choices avail­able to enterprises, including data lakes, ware­houses, lakehouses, and other options—resident within an on-site data center or accessed via the cloud. The options are boundless. It's a matter of finding the best fit for the business task at hand. Read More

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Todd Schraml

Database Elaborations

Todd Schraml

  • Normalization in Data Modeling Does Not Always Mean Separation When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, deriving their value from that individual, will appear on an Employee entity, or a Customer entity, and so forth. However, in the process of normalizing, the data modeler must identify the objects that are meaningful and useful to the organization
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Managing Data That is Constantly on the Move Once data has been created, it gets moved around to support many different purposes. There are many techniques that can be used to facilitate data movement. One of the simplest ways for the DBA to move data from one place to another is to use the LOAD and UNLOAD utilities that come with the DBMS. The LOAD utility is used to populate tables with new data (or to add to existing data), and the UNLOAD utility is used to read data from a table and put it into a data file. Each DBMS may call the actual utilities by different names, but the functionality is the same or similar from product to product.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • Advanced Data Security Using Azure Defender for SQL The world of the data professionals and DBAs is swirling with threats and risks, and those dangers are on the rise. You're probably accustomed to using longstanding database fea­tures to secure your databases, including roles and permissions, and you're likely familiar with working with your identity management admins to control and create your user authentication scheme.
Recent articles by Kevin Kline
Guy Harrison

MongoDB Matters

Guy Harrison

  • Inside MongoDB Time-Series Collections One of the big-ticket items at the recent MongoDB 5.0 launch was the introduction of specialized "time-series" collections. The key concept in a time-series database is that, for a lot of data, the timestamp of the data is a critical element, both in terms of operational cost and analytic value. Time-series collections represent another attempt by the MongoDB company to extend the use of MongoDB to a wider set of applications and scenarios. They are a welcome addition.
Recent articles by Guy Harrison
  • Get Out of Firefighting Mode to Drive Business Success Modern businesses make decisions based on data that's been carefully collected, extracted, formatted, and analyzed. Data powers competitiveness, brings new products to the marketplace, and improves the customer experience. The use cases are nearly endless, but there's a catch: Working with all that data is becoming increasingly complex.
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