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Data Modeling

Data Modeling and Database Design and Development – including popular approaches such as Agile and Waterfall design - provide the basis for the Visualization, and Management of, Business Data in support of initiatives such a Big Data Analytics, Business Intelligence, Data Governance, Data Security, and other enterprise-wide data-driven objectives.



Data Modeling Articles

AI innovation in the big data space shows no signs of slowing down, with companies rushing to adopt or create their own solutions based on AI, automating redundant tasks, and spinning up all kinds of use cases to justify spending big bucks in the area. Here, tech experts share their predictions for AI in 2025.

Posted December 20, 2024

Linkerd, created by Buoyant, is releasing Linkerd 2.17, a new version of Linkerd that introduces several major new features to the project: egress traffic visibility and control; rate limiting; and federated services, a powerful new multicluster primitive that combines services running in multiple clusters into a single logical service. This release also updates Linkerd to support OpenTelemetry for distributed tracing.

Posted December 18, 2024

RapidCanvas, democratizing AI-driven business transformation, announced it has secured $16 million in a funding round for its AI agents, empowering the company to further support the automation of complex tasks traditionally performed by data scientists and engineers.

Posted December 17, 2024

Experts joined DBTA's special roundtable webinar, The Future of Analytics: Cloud Data Warehouses, Data Lakehouses, and More, to discuss how better, faster insights can be achieved through an assortment of modern systems that emphasize flexibility, scalability, and agility.

Posted December 13, 2024

The beauty and joy of a relational database is the concept of relational closure—everything is a table. Beyond the eponymous table, query results are also "tables." Any query serves as a table to be queried by any other query, which is why queries may be nested almost infinitely within queries.

Posted December 12, 2024

As AI technologies and services have accelerated their own proliferation throughout the market, the data that trains these machines is more important than ever. The global big data and analytics industry is expected to experience significant growth in the next few years. It is predicted to grow at a CAGR of 14.9% between 2024 and 2032 and reach $1.088 trillion by 2032. Here, data professionals share their big data and database/infrastructure predictions for 2025.

Posted December 06, 2024

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured data, and the substantial increase in data volume. To help make the process of identifying useful products and services easier, each year, DBTA presents a list of Trend-Setting Products, highlighting a commitment to innovation and to provide organizations with tools to address changing market requirements.

Posted December 05, 2024

Weaviate is launching its latest SaaS service, Weaviate Embeddings, to bring freedom and flexibility to a crucial area of AI development: data vectorization. According to the company, Weaviate Embeddings combines the flexibility of open source with the convenience and scalability of a managed service and pay-as-you-go pricing.

Posted December 05, 2024

Progress, the trusted provider of AI-powered infrastructure software, is unveiling the Q4 2024 release of Progress Telerik and Progress Kendo UI component libraries. With this latest iteration focusing on improved integration, ease-of-use, and various other enhancements, Progress aims to provide the most comprehensive toolset for developing modern user experiences, according to the company.

Posted December 04, 2024

Vaultree, a leader in advanced data encryption, is debuting Vaultree Encrypted Numbers (VENum), as well as announcing its open source availability. The VENum stack—which includes Vaultree Encrypted Numpy (VENumpy) and VENum Machine Learning (VENumML)—enables developers to build and deploy ML models on encrypted data without compromising data privacy.

Posted December 04, 2024

Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, is announcing an array of platform capabilities and integrations with leading AI innovators—AWS, NetApp, and NVIDIA—that focus on accelerating AI time-to-value while reducing costs and risk. Accompanied by Domino's ongoing momentum in the SaaS market—having experienced a 750% increase in annual recurring revenue (ARR) over the last year—the company continues its rapid innovation in the AI enablement space. 

Posted November 27, 2024

SQL Server databases often contain precious data such as customer information, financial records, and account passwords—assets that are often both essential to the business and subject to compliance regulations. Today, that data is more at risk than ever because readily available AI tools can help less-technical cybercriminals plan and execute attacks. Indeed, the latest version of ChatGPT can be misused to get recommendations about effective tools and technologies to employ in cyberattacks and even examples of how to use them.

Posted November 21, 2024

In DBTA's recent webinar, The Future of Open: What's Next in Lakehouse Architecture, experts offered their perspectives on why open lakehouse architectures continue to be a popular vehicle for enabling modernization and innovation across the enterprise, examining the latest trends, tools, and emerging best practices.

Posted November 21, 2024

Oracle announced that Pennsylvania's State System of Higher Education (PASSHE) will offer Oracle Academy technology education curriculum and teaching and learning resources across its 14 campuses, which serve 82,000 students. This initiative will help the system equip students with vital skills in cloud, software development, and business applications, according to Oracle.

Posted November 20, 2024

Red Hat, Inc., a leading provider of open source solutions, announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the world's leading enterprise Linux platform. Red Hat Enterprise Linux helps organizations deploy applications and workloads more quickly and with greater reliability, enabling them to lower costs and more effectively manage workloads across hybrid cloud deployments while mitigating IT risks, from the data center to public clouds to the edge.

Posted November 18, 2024

Danny Sandwell, technology strategist, erwin by Quest, and Helen Kinsella, community of practice leader for data governance and privacy at Informatica, joined DBTA's webinar, Achieving AI-Ready Data: Active Metadata, Data Catalogs, and Data Observability, to discuss the latest advancements, technologies, and best practices in the area of data management that can make AI-ready data a tangible reality.

Posted November 14, 2024

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market size was $2.12 billion in 2022 and is expected to grow to $10.3 billion in 2032, according to estimates from Adroit Research. These databases enable data managers and analysts to model, store, and query complex and increasingly interconnected relationships between datapoints. They also are employed to construct knowledge graphs that can cut through data silos, enable semantic searches, and support chatbots and recommendation engines.

Posted November 14, 2024

Far too often information engineers and others take a dismissive stance about managing data structures. This indifferent attitude is largely because whatever tool the engineers use provides fast performance in resolving queries. They believe that quick performance means all is well, so nothing else matters, right?

Posted November 14, 2024

Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., is announcing new solutions for its Virtual Storage Platform One data platform designed around enhancing storage and data management for AI and analytics workloads. Now offering a quad-level cell (QLC) flash storage array with public cloud replication and an object storage appliance, Hitachi Vantara brings improved simplicity, security, and sustainable scalability to the enterprise, according to the company.

Posted November 12, 2024

Informatica, a leader in enterprise AI-powered cloud data management, is releasing Generative AI (GenAI) Blueprints to make it faster and easier for customers to build enterprise-grade GenAI applications on several industry-leading technology platforms. The blueprints—for AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud, and Snowflake—include standard reference architectures, prebuilt, ecosystem-specific "recipes," and GenAI Model-as-a-Service and vector database connectors to minimize GenAI development complexity and accelerate implementation, according to Informatica.

Posted November 06, 2024

In multidimensional data modeling practice, there is the concept of a bridge dimension. A bridge dimension, being the dimensionalized equivalent of a normalized data design's associative entity, allows for the resolution of a many-to-many relationship. By its very nature, the bridge is saying, "Yes, let's normalize our dimensional designs." The bridge dimension exists to resolve a many-to-many relationship between two other dimensions.

Posted November 06, 2024

WSO2, the largest independent software provider of open source API management, integration, and identity and access management (IAM) products, is announcing its latest releases of WSO2 API Manager and WSO2 API Platform for Kubernetes, which emphasize the crossroads between AI innovation, Kubernetes, and cyberattack protection.

Posted November 05, 2024

Picture this: A doctor receives an emergency call late at night. A patient has been brought into the emergency room with severe symptoms, and immediate access to their medical history is crucial. Within seconds, the doctor accesses the patient's electronic health records, seamlessly pulling up a comprehensive view of their health history. Thanks to a secure and reliable database, the doctor can make informed decisions quickly, potentially saving the patient's life.

Posted November 04, 2024

At its latest developer conference, GitHub unveiled a series of new innovations that emphasize developer choice, control, and ease of use for the AI era. Culminating in three key announcements—the now multi-model GitHub Copilot, the introduction of GitHub Spark, and additional updates across Copilot and GitHub Models—GitHub continues to innovate, motivated by its ambition to reach 1 billion developers. 

Posted October 31, 2024

SAP is expanding its partnership with Mistral AI by hosting some of Mistral's commercially available models, including Mistral Large 2, on SAP's operated infrastructure. This extended collaboration provides customers with a trusted and secure environment to use Mistral AI in conjunction with SAP, according to the vendors.

Posted October 23, 2024

Database administration is a technical discipline, and it almost goes without saying that DBAs should be armed with significant technical knowledge. And this column typically covers the many diverse technology issues facing DBAs. However, there are non-technical qualities and aspects to the DBA role that are not as frequently discussed. So, this month we will proffer some guidance on non-technical areas for DBAs to focus on to make them more valuable to their employers!

Posted October 23, 2024

MineOS, the all-in-one data governance and privacy platform, is upgrading Data Subject Request Management (DSR), including a new capability that completely "changes the game" on how organizations approach DSR implementation.

Posted October 22, 2024

To drive the development of open, efficient, and scalable data center technologies, NVIDIA announced that it has contributed foundational elements of its NVIDIA Blackwell accelerated computing platform design to the Open Compute Project (OCP) and broadened NVIDIA Spectrum-X support for OCP standards.

Posted October 21, 2024

Enabling the collection and utilization of data is crucial to successfully supporting AI projects at enterprise scale. From data integration to data pipelines, AI performance, data governance, compliance, and more, adhering to data engineering best practices has never been more prudent for enabling an AI-powered future.

Posted October 17, 2024

It has been a whirlwind time for data managers and their enterprises, and the innovations that are reshaping data operations aren't showing any signs of slowing down soon. AI and advanced analytics are changing the game, of course, as are a myriad of technologies now available to help manage and extract business value from the data flowing through organizations. Here is what industry experts tell BDQ they now see emerging and what we can expect in the months and years to come.

Posted October 17, 2024

Cube, the company bringing consistency, context, and trust to the next generation of data experiences, is debuting a series of innovations for Cube Cloud—Cube's universal semantic layer—geared around enhancing data management and consumption. The new capabilities—from a next-gen data modeling engine to new data access policies, Cube Copilot, and more—address the present modeling, governance, productivity, and collaboration needs of enterprises.

Posted October 16, 2024

ScaleFlux, a leader in data storage and memory technology, is expanding its product portfolio to meet the demands for global data production. The company is introducing cutting-edge controllers for both NVMe SSDs and Compute Express Lin (CXL) modules, reinforcing its leadership in innovative technology for the data pipeline, according to the vendor.  

Posted October 16, 2024

The career paths of IT professionals—whether they start out as administrators, creatives, or executives—are as varied as snowflakes in a blizzard. Along the way, many of us are fortunate enough to meet mentors who guide us and help us grow into better professionals.

Posted October 16, 2024

Generative AI (GenAI) is having an Agile moment or two, but this is not a positive development. One aspect of this moment in time is the continued hyping of GenAI's unlimited agility—wherein GenAI is trumpeted as something akin to an analytic Swiss Army knife. The analogy is not only problematic, but it is actively harmful.

Posted October 16, 2024

Predibase, the developer platform for productionizing open source AI, is debuting the Predibase Inference Engine, a comprehensive solution for deploying fine-tuned small language models (SLMs) quickly and efficiently. Designed for rapid, streamlined deployment across both private serverless (SaaS) and virtual private cloud (VPC) environments, the Predibase Inference Engine offers the most resource-efficient serving stack that empowers enterprises to scale specialized models at a fraction of the cost, according to the company.

Posted October 15, 2024

ClearML, the leading solution for unleashing AI in the enterprise, is debuting its new multi-tenant GPU-as-a-Service (GPUaaS) for Enterprise, an offering that delivers greater GPU utilization for enterprises to improve their AI innovation and ROI. GPUaaS for Enterprise empowers organizations to successfully support their AI initiatives with the compute required while offering a centralized location for monitoring and managing AI resources. 

Posted October 11, 2024

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey finds. Data issues hampering AI were explored in a recent survey released by Precisely and Drexel University, which exposed widespread data trust issues and its impact on data and AI initiatives. Data quality and governance have hampered organizations for decades, and such deeply rooted distrust in the data is now being reflected in their embrace of AI output.

Posted October 10, 2024

Software development has come a long way in the past few decades, but data management hasn't. It's time to change that. Despite automation becoming more ubiquitous, many engineering teams are still managing databases manually—a practice that can be time-consuming and complex, slowing down developers and impeding overall productivity. Additionally, current models force database administrators (DBAs) to work within silos, which creates logjams and communication lapses. It also leaves more room for error.

Posted October 10, 2024

In today's digital landscape, delivering exceptional user experiences has become a top objective for businesses across industries. As applications and digital touchpoints increase, understanding user behavior within these platforms is crucial for driving product innovation and business growth. However, collecting, managing, and reporting on user data has traditionally been a complex and resource-intensive endeavor, often requiring significant engineering resources.

Posted October 10, 2024

MicroStrategy Incorporated, a pioneer in AI-powered business intelligence, is debuting the latest iteration of MicroStrategy ONE, the fully cloud-native AI/BI platform for solving some of the world's toughest data challenges. The newest version centers on the power of generative AI (GenAI) to make enterprise data and insights more readily available to all employees, including the less-technical frontline.

Posted October 07, 2024

The EY organization is expanding its collaboration with IBM to leverage software from Apptio, an IBM Company. EY strategy and consulting experience, used in concert with Apptio software, can help enable organizations to focus their resources on their strategic priorities at all levels of the organization, according to the vendor.

Posted October 07, 2024

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