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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

The Department of Labor announced the release of a far-reaching set of principles that provide employers and developers, that create and deploy artificial intelligence, with guidance for designing and implementing AI in ways that enhance job quality and protect workers' rights. These new guidelines were developed as a result of President Biden's Executive Order on the Safe, Secure and Trustworthy Development and Use of Artificial Intelligence.

Posted May 16, 2024

dbt Labs, the pioneer in analytics engineering, is introducing dbt Cloud enhancements designed to help businesses turn data into a competitive advantage as companies' data volumes explode and the need for trustworthy, high-quality data increases. "Accurate and timely data is crucial, which is why we've delivered a standardized way to quickly build reliable, holistic, and high-quality data pipelines at scale," said Luis Maldonado, VP of product at dbt Labs. "These new features take this even further, significantly improving data workflows and AI workloads, all while empowering more users with powerful business insights."   

Posted May 15, 2024

Oracle is introducing Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency. Powered by large language models (LLMs) running on Oracle Cloud Infrastructure (OCI) and optimized for Java, SQL, and application development on OCI, Oracle Code Assist is planned to provide developers with context-specific suggestions that can be tailored to an organization's best practices and codebases. Oracle Code Assist will also be designed to be used to update, upgrade, and refactor code written in most modern programming languages, according to the company.

Posted May 15, 2024

Richard Schiller, senior product manager at Quest Software, and John de Saint Phalle, senior product manager at Precisely, joined DBTA's webinar, Cloud Migration Best Practices: Success Factors and Pitfalls to Avoid, to offer their expertise on how to successfully migrate to the cloud by navigating risks, requirements, best practices, and solutions.

Posted May 14, 2024

Boomi, the intelligent integration and automation leader, is acquiring APIIDA's federated API management business and API management assets from Cloud Software Group, allowing enterprises to deliver business value through API products in one end-to-end platform. According to the company, both these acquisitions accelerate Boomi's roadmap for providing solutions to the most pressing API management challenges that companies face today.

Posted May 13, 2024

StarTree, the cloud-based real-time analytics company, is offering new observability and anomaly detection capabilities in StarTree Cloud, alongside vector search capabilities in Apache Pinot. Additionally, the company announced the general availability launch of StarTree ThirdEye, offering advanced anomaly detection, as well as the introduction of a write API facilitating real-time sync for ELT pipelines, and integrations with leading visualization platforms, including Tableau and Grafana.

Posted May 10, 2024

At the annual Data Summit conference, Bharath Vasudevan, head of product, erwin, Quest, led the session, "Making AI Ethical & Explainable," considered how consistent, clean, and curated datasets are key in bridging the gap between data and the real-world, enabling AI to transcend "magic" and ground itself in transparent truth.

Posted May 09, 2024

Are you taking a hard look at your cloud costs this budgeting season? Is your IT budget getting eaten up without a good ROI to show for it? Do you need to justify your cloud expenses and business cases to leadership? At Data Summit 2024, Michael Agarwal, director and global practice leader, site reliability engineering, cloud and NoSQL databases, Datavail, discussed cloud cost optimization strategies, tips, and best practices during his session, "Cloud Cost Optimization: Strategies, Tips, & Best Practices."

Posted May 09, 2024

Zoe Steinkamp, developer advocate, InfluxData, led the annual Data Summit session,  "Architecting for Speed and Scale," highlighting how Apache Iceberg brings data harmony—complemented by flexibility, scalability, and high performance—to enterprises' structured data.

Posted May 09, 2024

A first and important step in being successful at almost any job or task is understanding oneself. This is true for engineers, modelers, or even architects. Do you know how to perform your tasks? Are you faster or slower than others doing the same tasks? Do you have more or less errors in your output than others? It seems that a rising number of people are so uncomfortable with competing that they may even avoid asking these kinds of questions of themselves; but this is not about competition, it is about understanding oneself, it is about being responsible, it is about holding oneself accountable.

Posted May 09, 2024

Time series analysis plays a crucial role in enhancing the capabilities of AI by providing valuable insights into temporal patterns, trends, and dependencies within datasets. At Data Summit 2024, Salochina Oad, ML engineer, U.S.Xpress, Inc. held her session, "Empowering AI Through Time Series Analysis."

Posted May 08, 2024

At the annual Data Summit conference, the session "Data Fabric Key Enablers," led by John Bagnall, senior product manager, Matillion, illustrated how ETL plays an integral role in data fabric implementation, enabling enterprises to easily and efficiently manage, integrate, and analyze data from diverse sources.

Posted May 08, 2024

Ranjeeta Bhattacharya, senior data scientist, BNY Mellon, and Yetkin Ozkucur, director for professional services and presales, Quest, led the annual Data Summit session, "Putting Generative AI to Work," assessing the ways in which GenAI-based enterprise applications can be set up for success based on both development and data best practices.

Posted May 08, 2024

There is no doubt that data mesh principles resonate with so many data professionals, particularly those looking to move beyond brittle, monolithic architecture. However, adopting data mesh can seem daunting, due to both a scarce but improving ecosystem of tools, as well as organizational change management. At Data Summit 2024, Elliott Cordo, CEO/founder/builder, Data Futures, LLC, presented "From Daunting to Doable: The Evolution of Data Mesh."

Posted May 08, 2024

The combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines is extremely powerful, as demonstrated by Timothy Spann, principal developer advocate, streaming, Cloudera and future of data meetup, startup grind, AI Camp, during his Data Summit 2024 session, "Building Real-Time Pipelines With FLaNK."

Posted May 08, 2024

The vast majority of current GenAI projects will fail, not because of inherent flaws in large language models (LLMs), but because of misconceptions about how to use them and the lack of capabilities needed to successfully design, develop, and operationalize GenAI-driven applications. At Data Summit 2024, Kjell Carlsson, head of AI strategy, Domino Data Labs, presented his session, "Shatter the Seven Myths of GenAI to Operationalize Impact," debunking the most harmful myths that set up projects for failure.

Posted May 08, 2024

Doug Laney opened Data Summit 2024 with a look at Infonomics in the era of AI. Laney, innovation fellow, data and analytics strategy, West Monroe, and Author of Infonomics and Data Juice, visiting professor at University of Illinois Gies College of Business, shared insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.

Posted May 08, 2024

Machine learning is primarily concerned with accuracy and pattern recognition, while natural language processing (NLP) is concerned with computer-human language interactions, specifically how to program computers to process, and analyze large amounts of natural language data. At Data Summit 2024, Christy Bergman, developer advocate, Zilliz, presented how to use an open source vector database to power GenAI chatbots, ecommerce recommenders, and similarity search-based apps during her workshop, "Taking Advantage of Machine Learning & Natural Language Processing."

Posted May 07, 2024

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. At Data Summit 2024, Joseph Hilger, COO, Enterprise Knowledge and Sara Nash, principal consultant, Enterprise Knowledge LLC, discussed "Building the Semantic Layer of Your Data Platform," during their workshop session.

Posted May 07, 2024

Data insights have never been more vital to business operations than they are today. Line-of-business (LOB) teams rely on data insights to drive sustainable growth, lead business operations, and understand cus­tomer behaviors and needs. The growing demand for data analytics has spurred a flourishing $31 billion-plus industry of established and emerging tech companies—but is the data analytics tech stack working for enterprises? Despite years of investment and effort, research indicates that 95% of businesses still strug­gle with operational challenges around data and analytics, leaving only 5% with the competitive advantage data-driven decision making delivers.

Posted May 06, 2024

Solodev, the cloud platform for developers, is debuting Solodev AI, a cloud platform engineered to accelerate developer workflows by offering a central location to build, train, and host custom AI apps and foundation models. As generative AI (GenAI) continues to be the main focus of innovation for nearly every enterprise, Solodev AI aims to help businesses start their AI journeys with customizable apps from an AI marketplace or host their existing AI apps in a secure, scalable cloud environment, powered by AWS. 

Posted May 03, 2024

Securiti, the pioneer of the Data+AI Command Center, is debuting the Securiti LLM Firewall, a new category of firewall designed to enhance the protection of generative AI (GenAI) systems and applications from inbound attacks. Built to understand both the context and the nature of GenAI apps at its core, the Securiti LLM Firewall represents a new frontier of protection for the AI technology sweeping every corner of industry. 

Posted May 02, 2024

Oracle is introducing new artificial intelligence (AI) capabilities within Oracle Fusion Cloud Customer Experience (CX) to help marketers, sellers, and service agents accelerate deal cycles. The new AI capabilities will help organizations generate more sales faster by automating time-consuming tasks and enabling front office professionals to target, engage, and serve buyers more precisely.

Posted May 01, 2024

At Data Summit 2024, you'll hear the innovative approaches the world's leading companies are taking to solve today's key challenges in data management. The 11th annual Data Summit conference will be held May 8-9, 2024, at the Hyatt Regency Boston, with pre-conference workshops taking place on May 7, 2024. The program is now available for review and a variety of pass options are available to suit individual requirements.

Posted April 29, 2024

Qdrant, the high-performance, open-source vector database provider, is debuting the industry's first native vector database offered as a managed hybrid cloud model. The new Qdrant Hybrid Cloud offering is a run-anywhere, self-service solution designed to empower enterprises to deploy and manage vector databases in any cloud provider, on-premise, or edge location. This technological feat capitalizes on the increasing demand for vector databases—particularly as it relates to supporting AI and generative AI (GenAI) initiatives—while offering utmost deployment flexibility and control over sensitive data.

Posted April 25, 2024

Qlik, a global leader in data integration, in an effort to make AI more approachable, is launching the AI Accelerator, designed as an introduction for companies looking to explore the possibilities AI and AI-driven analytics can offer. Qlik's AI Accelerator, available to new and existing customers, offers a direct path for rapid integration, simplifying businesses' initial forays into AI.

Posted April 24, 2024

AI talent is in high demand; AI reveals brain oscillations for memory and disease; AI may allow us to talk to whales; AI can help plan meals and other tasks; an AI platform for dentistry just raised $53 million. That was the tip of the AI news iceberg—in one day. Has technology ever garnered so much interest, so widely, so fast? Amid the hype lies the incalculable promise of AI—and the fear of getting left behind by competitors that figure it out first. It's no wonder that organizations are rushing to implement AI, ready or not. The trouble is, many are not ready.

Posted April 24, 2024

Tricentis, a global provider of continuous testing and quality engineering, is updating the company's AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.

Posted April 23, 2024

It's time to vote for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the readers. The voting period will be open through Monday, June 3.

Posted April 22, 2024

SAS is expanding the capabilities of the SAS Viya flagship data and AI platform, also making SAS Viya Workbench generally available. Targeted to developers and modelers, Viya Workbench is a self-service, on-demand compute environment for conducting data preparation, exploratory data analysis, and developing analytical and machine learning models.

Posted April 19, 2024

VMware is releasing VMware Telco Cloud Platform 4.0—a major milestone for the company—solidifying numerous capabilities into a unified platform that gives users the flexibility to modernize their telecommunications network as they see fit. To streamline the process of adoption and modernization, VMware by Broadcom is simplifying the implementation and deployment of VMware Telco Cloud products.

Posted April 19, 2024

Digital Equipment Corporation, known as DEC; Peoplesoft; Sun; and now VMware all have something dark in common. At one point, they were all great American companies leading the path toward innovation in the Six Cities of Silicon Valley. They were magnificent leaders in computing innovation, each at different stages of the evolution of Silicon Valley-based technology.

Posted April 18, 2024

Hazelcast, Inc., the company that enables instant action on all data, is announcing the latest iteration of its unified real-time data platform, aiming to empower organizations to rise above workload complexity in the age of AI with unparalleled consistency, performance, and scale. To enable enterprises to move past the "Day 2 problem"—or the data-related challenges the surface after AI model design—Hazelcast Platform 5.4 offers three core innovations: the advanced CP subsystem, the thread-per-core (TPC) architecture, and tiered storage.

Posted April 17, 2024

Innovation in the big data and analytics space continues to blossom, with more companies than ever before riding the high of generative AI. Along with the myriad possibilities of this new sphere of artificial intelligence comes some questions and concerns. Startups are emerging to address challenges and leverage opportunities this new area may bring. Here are 30 startups DBTA thinks are worth watching in 2024.

Posted April 17, 2024

Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific conferences, which tend to focus on analytics and data science, DataTune covers a wide variety of topics such as database engineering, development, admin­istration, and analytics. I was delighted to be joined on the committee by two friends, Dustin Dorsey and Cameron Cyr, authors of Unlocking dbt: Design and Deploy Transfor­mations in Your Cloud Data Warehouse.

Posted April 11, 2024

Data management needs AI and machine learning (ML), and, just as important, AI/ML needs data management. As of now, the two are connected, with the path to suc­cessful AI "intrinsically linked to modern data manage­ment practices," said Dan Soceanu, senior product manager for AI and data management at SAS. Blazing this path requires "pri­oritizing data quality, accessibility, and governance."

Posted April 11, 2024

Every DBA knows that a test platform is required to prop­erly enable application development. Indeed, testing has always been crucial, but it has become more complicated with the advent of new technologies, platforms, and devices, not to mention the impact of regulatory compliance. One of the biggest challenges faced by DBAs and developers is managing test data.

Posted April 11, 2024

There is an old quote attributed to various origins that says, "When I hear the word ‘culture,' I reach for my gun." The saying expresses frustration at a term, in this case "culture" being used, abused, and politicized beyond all forbearance. Even when it was first popularized, it was a line meant to draw laughter from the audience of a play, rather than suggesting anyone carry an actual firearm. And no one is suggesting anyone do so now. "Relational" is a term that, over the last few decades, has undergone its own level of use, abuse, and politicization.

Posted April 11, 2024

AI—both operational and generative—is knocking on enterprises' doors, forcing data managers to make new architectural choices on what it will take to support these data-hungry initiatives. Data mesh and data fabric are increasingly favored to help organizations get better control of their data, but which is the best option?

Posted April 10, 2024

GlobalLogic, a Hitachi group company, is introducing a "first-of-its-kind Platform-of-Platforms" architecture designed to support deployment of enterprise-grade artificial intelligence (AI)—aimed to address critical challenges every enterprise must overcome when operationalizing AI and generative AI (GenAI) at scale.  

Posted April 09, 2024

Dataloop AI, an end-to-end, data-centric AI development platform for data and AI teams, is debuting the Dataloop Marketplace, an AI-centered hub that empowers enterprises to build AI faster with the right data, at max efficiency. Aiming to close the gap between proof of concept (COP) and production, the Marketplace enables enterprises to make their innovative AI projects a reality with speed and efficacy, according to the company.

Posted April 08, 2024

Cisco and a group of eight leading companies including Accenture, Eightfold, Google, IBM, Indeed, Intel, Microsoft, and SAP, as well as six advisors are launching the AI-Enabled Information and Communication Technology (ICT) Workforce Consortium—focused on upskilling and reskilling roles most likely to be impacted by AI.

Posted April 08, 2024

Tabnine, the originators of the AI coding assistant category, is unveiling a new capability for its software development chat tool, Tabnine Chat, that allows engineers to choose the large language model (LLM) from a catalog of models that powers the chat assistant. This grants development and engineering teams the flexibility to select the models that best suit their needs, as well as the ability to switch between models as desired.

Posted April 03, 2024

Oracle and NVIDIA are expanding their collaboration to deliver sovereign AI solutions to customers around the world. Oracle's distributed cloud, AI infrastructure, and generative AI services, combined with NVIDIA's accelerated computing and generative AI software, are enabling governments and enterprises to deploy AI factories, according to the companies.

Posted April 03, 2024

Jason Tolbert, senior director, strategic alliances (Microsoft) at Informatica, and Pavan Lakkala, principal program manager at Microsoft, joined DBTA's webinar, Revolutionizing Cloud Data Management for the era of AI, to explore how combining the Microsoft Fabric with Informatica's Intelligent Data Management Cloud (IDMC) can empower enterprises to solve critical, modern data challenges and accelerate their AI and analytics initiatives.

Posted April 02, 2024

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