Big Data 75: Companies Driving Innovation in 2023

As the world slowly transitions to a post-covid landscape, organizations are looking at what the "new normal" is shaping up to be. To support organizations in navigating through new challenges and a rapidly evolving big data ecosystem, Big Data Quarterly presents 2023's "Big Data 75," a list of companies driving innovation and expanding what is possible in terms of collecting, storing, and extracting value from data. Read More

Decoding the Ethics of AI: Fairness, Accountability, and Responsibility

My fascination with AI began in 2009, when the technology was yet to gain mainstream traction. Today, the recent ChatGPT boom has made AI a normal topic of conversation, and there is no denying that it has become an integral part of our daily lives. From personalized social media recommendations to autonomous vehicles, many more people are aware of AI's potential to enhance our quality of life. Read More

Advancing Data Literacy and Democratization With AI and NLP: Q&A With Qlik’s Sean Stauth

The boom in generative AI interest serves as a visible tipping point in the yearslong journey of the enterprise embracing the power of data interaction through natural language processing (NLP). In recent years, NLP has undergone significant changes that have made it increasingly easier for users at all skill levels to handle and explore data without being a data scientist. Read More

Analytics and the Real-Time Revolution

For more and more organizations, real time is not only the right time—it's the only time that matters. No longer can decision makers afford to only understand the material events affecting their businesses a month, a day, or even just a few hours after the fact. They need a sense of what is happening in the moment to be able to predict and adjust for events that are arising. The value of real-time data "is that it provides needed information to accelerate business insights so teams can make better informed decisions and avoid the issues around using older data," said Tarun Chopra, vice president of product management for data and AI at IBM. Read More

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Database Elaborations

Todd Schraml

If You Have the Opportunity, Please Be Clear Data models allow for the expression of a great deal of clarity and precision—when the data modeler chooses to allow for it. Many designers seem to work in "sloppy" or "imprecise" mode. Entities are defined containing many nulls allowed attributes. Certainly, if in the existing situation the source data is so dirty that every defined attribute "should" apply, but randomly things are not passed on, then yes, the data model is accurate. However, if the condition is such that the object has many very similar sub-objects, and various combinations of attributes must be populated based on which sub-type is being instantiated, then the data model is not expressing those rules very well.

DBA Corner

Craig S. Mullins

The State of Database Administration 2023 The role of the database administrator (DBA) has always been crucial to ensuring that databases are properly organized, secured, and optimized. But recent years have seen many significant changes in the field of database administration. Before talking about how it is changing, let's start by defining it. Database administration (or DBA) refers to the set of tasks and processes involved in managing and maintaining database systems (and the applications and users that access them). This includes everything from designing and creating databases to deploying, monitoring, and securing data across the enterprise.

SQL Server Drill Down

Kevin Kline

New Troubleshooting Capabilities in SQL Server and Azure SQL Microsoft has recently released a powerful new DMV specifically to help with memory issues, sys.dm_os_out_of_memory_events. It is currently available in Azure SQL Database and Azure SQL Managed Instances. This DMV consolidates and simplifies telemetry from SQL Server ring buffers, applies heuristics, and provides a result set. The DMV stores a record for each out-of-memory (OOM) event that occurs within the database, providing details about the OOM root cause, the memory consumption of database engine components at that point in time, potential sources of memory leaks, and more.

MongoDB Matters

Guy Harrison

MongoDB Vector Search The dramatic advances in generational AI—chatGPT in particular—have motivated almost all technology companies to find an AI story that can break through the heavily AI-oriented technology news feeds. It can be hard for database companies to tell an AI story. While most AI is data-driven and therefore dependent on database technology, advances in database technology have not in themselves driven advances in AI, and AI has generally not yet revolutionized database technology.

Next-Gen Data Management

The Top Six Benefits of Database DevOps for Streamlined and Stronger Database Operations Data is the cornerstone of the modern digital business. IT teams, database professionals, and business leaders use data to make informed decisions, increase efficiency, and stay ahead of business objectives. Applications also need data to run efficiently to ensure teams don't encounter any bottlenecks.