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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

If you wait long enough, everything comes back into style. This timeless principle not only applies to fashion, but also to software development. The technology preferences in the industry have been swinging between bespoke solutions and platform-based solutions due to emerging technologies and their challenges. As someone who has been in the industry since the 1990s, I've witnessed these shifts firsthand.

Posted October 19, 2023

Recently, companies such as Dropbox, Amazon, Lyft, and Meta, as well as Apple, have used the draconian and cruel layoff approach to economic optimization. Yet while the "R" word is bantered around, the "mainstream media" continues to claim that a recession has not yet arrived. This is despite the academic definition of "recession," that is, consecutive quarters of negative gross domestic product growth, as was the case in the first half of 2022.

Posted October 19, 2023

Airbyte, the creators of the fastest-growing, open source data movement platform, are debuting its latest set of connectors—for the Milvus, Qdrant, and Weaviate vector databases—amid customer requests for more vector database support.

Posted October 18, 2023

United Medical, LLC, a multi-specialty ambulatory network with more than 225 full-service healthcare providers, has expanded its 20-year relationship with Oracle Health by another seven years. United Medical plans to deploy Oracle Health electronic health record (EHR) at additional outpatient surgery centers and accountable care organizations within its network, providing a more intuitive platform to streamline workflows and processes for health practitioners.

Posted October 18, 2023

Database performance can be a complex and difficult task, but there are some high-level maxims that can help to sim­plify optimizing the performance of your databases and applica­tions. Let's look at some of these guiding rules of thumb. You should always keep in mind the business objectives of the databases and applications you manage. It is wise to manage performance based on the expectations and budget of the busi­ness users.

Posted October 18, 2023

Canonical, the publisher of Ubuntu and the provider of open source security, support, and services, is releasing Charmed Spark, an advanced solution for Apache Spark that accelerates data engineering across both public cloud and private data centers.

Posted October 17, 2023

Databricks, the data and AI company, is debuting the launch of the Databricks platform on the AWS Marketplace for the U.S. Intelligence Community (IC).

Posted October 16, 2023

Experts joined DBTA's webinar, Powering Modern Applications: Data Management for Speed, Scale, and Flexibility, to discuss key solutions and emerging best practices that properly underpin successful applications that are fast, agile, and easy to use.

Posted October 13, 2023

According to Gartner, global spending on the public cloud is expected to increase by approximately 20.7% to reach $591.8 billion (about $1,800 per person in the U.S.) in 2023. The advantages of migrating to the cloud are widely recognized. By adopting cloud-first models, businesses can move away from traditional, fixed-cost methods of managing IT infrastructure. Cloud migration allows for controllable, agile, and secure operations that can easily scale as needed while optimizing costs.

Posted October 12, 2023

For most enterprises these days, hyperscale data workloads and AI have become the norm and are driving data strategies. However, while conventional wisdom dictates that this means greater reliance on cloud services and cutting-edge approaches to manage data pipelines, there's a place for more well-tread approaches as well. Many data managers intend to beef up their data warehouse capabilities and even return to on-prem systems in the near future.

Posted October 12, 2023

What if you could free up 1% of your day? Would one small improvement make a difference in the life of your business?With Oracle Autonomous Database even the smallest tweaks in efficiency (powered by data) can lead to huge advancements. At Quest's BLUEPRINT 4D Conference in May 2023, Sean Stacey, director of database product development at Oracle, shared how Oracle Autonomous Database can complete and simplify your data management. 

Posted October 12, 2023

Many people seem to become filled with anxiety over the word "normalization." Mentioning the word causes folks to slowly back away toward the exits. Why? What might have caused this data modeling phobia? Do people have images flashing through their minds of data modelers running around wearing a hockey mask and carrying a chainsaw screaming, "Give me your primary keys"? I hope not.

Posted October 12, 2023

The newest addition to Informer 5.8 is Templates and it represents a significant evolution in how users interact with and extract value from their data. With Templates, the process of transforming raw data into visually appealing and tailored outputs becomes effortless, according to Entrinsik.

Posted October 12, 2023

Market research, strategic planning, research and development (R&D), and proactively researching and strategizing for the future are commonplace components of business operations. The exception is the case of governance teams who are far too often recipients of, rather than participants in, strategic planning. As a result, existing policies and practices quickly stagnate or deviate from current usage.

Posted October 10, 2023

The "big data" world is pervasive—to the point in which every organization is now a big data organization. As AI, machine learning, and other high-end analytics become mainstream parts of business operations, new ways of handling data assets are coming to the fore. Industry leaders and experts recently shared their views with Big Data Quarterly on the latest technology developments shaping today's big data world.

Posted October 10, 2023

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.

Posted October 09, 2023

Retool, the leading development platform for business software, is launching the GA of Retool Workflows, a building block-based automation tool engineered to help developers accelerate their business processes.

Posted October 06, 2023

Docker is partnering with Neo4j, LangChain, and Ollama to create a new GenAI Stack designed to help developers get a running start with generative AI applications. Eliminating the need to search for and cobble together and configure technologies from different sources, the GenAI Stack is pre-configured, ready-to-code, and secure with large language models (LLMs) from Ollama, vector and graph databases from Neo4j, and the LangChain framework. Docker also announced its first AI-powered product, Docker AI.

Posted October 06, 2023

Akeneo, the Product Experience (PX) Company and provider of product information management (PIM) solutions, is acquiring Unifai, an artificial intelligence (AI) platform for data collection, cleansing, categorization, and enrichment pioneered by leading experts in AI and machine learning (ML).

Posted October 04, 2023

Dataiku, the platform for Everyday AI, is unveiling the LLM Mesh, addressing the need for an effective, scalable, and secure platform for integrating Large Language Models (LLMs) in the enterprise. In addition, Dataiku is partnering with Snowflake, Pinecone, and AI21 Labs on LLM Mesh and its features represent several of the key components of the LLM Mesh: containerized data and compute capabilities, vector databases, and LLM builders.

Posted October 03, 2023

Cloudflare, Inc., the company helping to build a better internet, is introducing a new platform—accompanied by high performance at scale, a new vector database, and observability capabilities—that will enable developers to build full-stack AI applications on Cloudflare's network. Dubbed Workers AI, this solution offers fast and affordable inference without the need to manage infrastructure, driving increased productivity for shipping out production-ready, fast, and secure applications.

Posted October 02, 2023

Timescale, the cloud database company, is debuting Timescale Vector, a robust platform for building production AI applications at scale with PostgreSQL. Developed as a response to the ever-evolving nature of AI, Timescale Vector manages relational data, vector embeddings, time-series data, analytics, and event data from a single platform.

Posted September 29, 2023

Innovators at ArangoDB joined DBTA's webinar, Unleash the Future of Data Management: Transitioning from Legacy Graphs to a Modern, Complete, and Scalable Solution, to expose the way graph technology has been transformed by ArangoDB, debunking data management myths and addressing various tech challenges.

Posted September 28, 2023

Experts from Quest joined DBTA's webinar, From Oracle to Postgres: Some Modern Database Architectures & Seamless Transitions, to discuss the latest of Quest's Postgres-based offerings finding considerable success in a post-Oracle world.

Posted September 27, 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.

Posted September 27, 2023

Pliable, an AI-powered SaaS platform that simplifies organizing and leveraging data without an engineer, is coming out of stealth with a $2.5 million seed round led by Resolute Ventures, enabling the company to expand its team and platform to create a single source of truth for anyone to streamline their data processes.

Posted September 25, 2023

Dan DeMers, CEO of Cinchy, and Frank Liu, head of AI and ML at Zilliz, joined DBTA's webinar, Unlocking the Power of Real-Time, AI and ML, to guide viewers through strategies and technologies for successful modernization which ultimately enable organizations to cater to the needs of modern data while overcoming its various challenges.

Posted September 22, 2023

Cisco announced it's acquiring Splunk, the cybersecurity and observability leader, building on Splunk's heritage of helping organizations enhance their digital resilience and will accelerate Cisco's strategy to securely connect everything to make anything possible.

Posted September 22, 2023

TruEra is releasing TruEra AI Observability, a full-lifecycle AI observability solution providing monitoring, debugging, and testing for ML models in a single SaaS offering along with covering both generative and traditional (discriminative) ML models. According to the company, the solution is aimed to meet customer needs for observability across their full portfolio of AI applications, as interest in developing and monitoring LLM-based apps accelerates.

Posted September 21, 2023

Kinetica, the speed layer for generative AI and real-time analytics, is integrating with a native large language model (LLM) that enables consumers to use natural language to perform ad-hoc analysis on real-time, structured data, centered around security.

Posted September 19, 2023

KX, a provider of vector and time-series data management, is releasing KDB.AI Cloud, a vector database for real-time contextual AI designed with a commitment to provide a superior developer experience. Unique among vector databases, KDB.AI Cloud enables developers to bring temporal and semantic context and relevancy to their AI-powered application, according to the company.

Posted September 14, 2023

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. 

Posted September 14, 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.

Posted September 13, 2023

Denodo is receiving a $336 million investment by TPG, underscoring the strength of Denodo's solutions, growth, and potential in the data management space. TPG's investment in Denodo will help to further strengthen Denodo's balance sheet and accelerate the company's market initiatives on a global scale. With more than 300 companies in its portfolio, headquartered across 30 different countries, TPG brings deep expertise in the software business and a long trajectory of researching and building relationships to help drive transformational growth, according to Denodo.

Posted September 13, 2023

JFrog, the Liquid Software company and creators of the JFrog Software Supply Chain Platform, is announcing a myriad of new capabilities—ranging from machine learning (ML) management to DevOps-centric security and automation—that will be added to its platform.

Posted September 13, 2023

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, contextual, and visible. The addition of LLMs into Sentra's data classification engine enables enterprises to preventively reduce the data attack surface—no matter where it exists in the multi-cloud—through a variety of new capabilities.

Posted September 12, 2023

Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA's recent webinar, 2023 Modern Data Architecture Trends: New Market Research and Guidance, using its latest market study on these innovative strategies and technologies.

Posted September 11, 2023

BMC, a global leader in software solutions for the Autonomous Digital Enterprise, released findings from its 18th annual mainframe survey, further reinforcing the value of the mainframe and its continued growth as a platform. According to BMC, a newfound appreciation for the mainframe's resilience and scalability emerged from the heavy reliance on technology through the shifting digital landscape resulting from the COVID-19 pandemic.

Posted September 11, 2023

Experts from Redis, Quest, and BMC joined DBTA's webinar, Achieving Greater Agility: Emerging Trends in Data Management and DevOps, to explore the ways in which enterprises are successfully adopting and leveraging DevOps and data management in tandem, particularly in the case of utilizing cloud native apps, microservices, and containerization.

Posted September 11, 2023

Nutanix, the hybrid multi-cloud computing company, is announcing the Nutanix GPT-in-a-Box, a full-stack software-defined AI-ready platform that accelerates AI and machine learning (ML) innovation in the enterprise.

Posted September 06, 2023

Cloud computing has revolutionized the way businesses operate and has fundamentally changed the role of database administrators (DBAs). Traditionally, DBAs have been responsible for the installation, maintenance, and management of on-prem databases. However, in the age of cloud computing, DBAs are required to adapt to new technologies, methodologies, and tools.

Posted September 06, 2023

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