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The Hidden Pitfalls of Cloud-Based Managed MySQL Services


Cloud-based managed MySQL data services are being aggressively marketed to organizations with the promise of streamlining their database management. These “managed data services” are an alternative to more traditional “non-managed data services” – software solutions with embedded intelligent proxies and cluster management using native MySQL run on-premises, in the cloud, or a hybrid cloud.  These […]

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Author: Eero Teerikorpi

Data Management in an Industrial Environment


Industrial environments are rich data sources, from equipment pressure and temperature readings to real-time inventory levels. This ocean of data provides organizations with valuable insights when (and if) effectively harnessed. By transforming raw data generated across the floor 24/7 into actionable intelligence, industrial plants are equipped with data-informed insights necessary to create operational strategies that […]

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Author: Sarah Kline

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps


As a cognitive scientist, I’ve been immersed in AI for more than 30 years – specifically in speech and natural language understanding, as well as machine-based learning and rule-based decision-making. Progress in our field is always uneven, unfolding in fits and starts. Those of us in the AI field have witnessed multiple “AI winters” over the […]

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Author: Jans Aasman

Running Generative AI in Production – What Issues Will You Find?


As your data projects evolve, you will face new challenges. For new technology like generative AI, some challenges may just be variations on traditional IT projects like considering availability or distributed computing deployment problems. However, generative AI projects are also going through what Donald Rumsfeld once called the “unknown unknowns” phase, where we are discovering […]

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Author: Dom Couldwell

Microservices and AWS RDS Instances: Revolutionizing Application Development


In today’s fast-paced digital landscape, the demand for flexible, scalable, and independent application deployment is more critical than ever. Microservices architecture has emerged as a game-changer in how developers build and manage applications, allowing for the decomposition of traditional monolithic systems into independently deployable services. Coupled with the power of Amazon Web Services (AWS) Relational […]

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Author: Vijay Panwar

SQL at 50: A Lesson in How to Stay Relevant Around Data


Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most […]

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Author: Dave Stokes

Why Total Cost of Ownership Is a Critical Metric in High-Availability Databases


In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance. TCO isn’t just a financial metric; it’s a comprehensive assessment that can significantly impact a business’s […]

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Author: Eero Teerikorpi

Knowledge Graphs 101: The Story (and Benefits) Behind the Hype


Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for […]

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Author: Doug Kimball

How In-Database Machine Learning Transforms Decision-Making


In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning […]

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Author: Pankaj Zanke

DevOps and Data: Lessons Teams Can Learn About Managing Databases


According to the Bureau of Labor Statistics, the outlook for jobs around managing data architecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032. However, while the number of roles that work around data is going up, the position of database […]

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Author: Dave Stokes

Integrating AWS Data Lake and RDS MS SQL: A Guide to Writing and Retrieving Data Securely


Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration. Here’s a detailed […]

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Author: Vijay Panwar

Four New Apache Cassandra 5.0 Features to Be Excited About


With the recent beta release of Apache Cassandra 5.0, now is a great time for teams to give it a spin and discover 5.0’s most interesting and anticipated new capabilities.  As I’ve poked around with the new beta, here are four features introduced with open-source Cassandra 5.0 that developer teams should be excited about: 1. Vector […]

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Author: Bassam Chahine

Mastering Microsoft SQL Server: Analyzing and Optimizing Complex Queries


In the realm of database management, particularly with Microsoft SQL Server, understanding and optimizing complex queries is crucial for maintaining system performance and efficiency. As databases grow and complexity, the queries used to retrieve, update, or manipulate data can become increasingly intricate, potentially leading to slower response times and decreased application performance. This blog post […]

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Author: Vijay Panwar

Handling Data Concerns in 2024 and Onwards


Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business […]

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Author: Thomas Frisendal

2024: Fewer Hallucinations, Private LLMs, and IP Challenges for GenAI Content


For those of us who have been in the AI field for a while, we’ve weathered at least two “AI winters,” interspersed with phases of rapid progress. However, 2023 stands out as a pivotal moment in the trajectory of AI. ChatGPT and other large language models (LLMs) have democratized AI for non-experts, offering immense utility, […]

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Author: Jans Aasman

The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One)


We live in an era in which business operations and success are based in large part on how proficiently databases are handled. This is an area in which graph databases have emerged as a transformative force, reshaping our approach to handling and analyzing datasets.  Unlike the conventional structure of traditional methods of accessing databases, which […]

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Author: Prashant Pujara

No Database Is Perfect: Applying CAP Theorem to Database Choice


Since its introduction to the marketplace in 2000, the consistency, availability, and partition theorem, or CAP theorem, has been a guiding principle in database management. Computer scientist Eric Brewer presented the CAP theorem in a talk about distributed systems that provide web services. Two MIT professors later proved the theorem. It states that a database can be […]

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Author: Shrivathsan Kumar

Semantic Web and AI: Empowering Knowledge Graphs for Smarter Applications


Data is the cornerstone of innovation in today’s highly digital world. However, in its raw state, data isn’t very useful as it lacks meaning and context. This is where the Semantic Web comes in – it provides a framework that imbues data with meaning, allowing machines to understand and process it just as humans do.  […]

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Author: Nahla Davies

The Power of Graph Databases to Detect Fraud


Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network.  […]

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Author: Nahla Davies

7 Essential Roles for a Successful AWS Migration


Increasingly more organizations initiate AWS migration due to the advantages provided by the AWS cloud platform. According to The Business Value of Migrating to AWS survey, 43% of AWS adopters report lower time-to-market for new features, 20% report infrastructure cost savings, and 66% note an increase in administrator productivity. However, AWS migration is a challenging task requiring a […]

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Author: Pavel Buyevich

Architecting Real-Time Analytics for Speed and Scale


In today’s fast-paced world, the concept of patience as a virtue seems to be fading away, as people no longer want to wait for anything. If Netflix takes too long to load or the nearest Lyft is too far, users are quick to switch to alternative options. The demand for instant results is not limited […]

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Author: David Wang

OLTP Database Solutions for Today’s Transactions


Online transaction processing (OLTP) enables rapid, accurate data processing for most of today’s business transactions, such as through ATMs, online banking, e-commerce, and other types of daily services. With OLTP, the common, defining characteristic of any transaction is its atomicity, or indivisibility. A transaction either succeeds as a whole, fails, or is canceled. It cannot […]

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Author: John Thangaraj

How Kubernetes Can Help You Weather Regional Disaster Recovery


If you’re lucky, you’ve only had to worry about managing a data disaster recovery effort once or twice in your career, if at all. However, as the rate and number of natural disasters have increased, the chances of needing to navigate through a worst-case scenario have risen. As of April 11, 2023, the U.S. had […]

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Author: Alan Cowles

Controlling SAP HANA Data Sprawl


Enterprises running large SAP HANA instances in the cloud are seeing a new challenge appear as their databases continue to grow. Since SAP HANA has a simplified data layout and structure compared to a more complex legacy database, it was assumed this would result in less data sprawl and duplication. But does the data stay […]

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Author: Eamonn O’Neill

Modeling Modern Knowledge Graphs


In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.”  In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

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Author: Thomas Frisendal