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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

LogicMonitor, a SaaS-based multi-tenant infrastructure monitoring and observability platform for enterprises and managed service providers (MSPs), is offering unlimited log data retention, now available for LM Logs, the company's SaaS-based log management solution.

Posted November 22, 2021

With heightened pressure to compete on analytics, the purpose and role of data architecture is coming into clearer focus to meet business operating necessities. Recently, John O'Brien, CEO and principal advisor of Radiant Advisors, talked with BDQ about the principles of a resilient enterprise data architecture and the enabling methodologies and technologies.

Posted November 11, 2021

MemVerge is introducing its Big Memory Cloud technology, bringing Big Memory Computing to multi-cloud environments. With Big Memory Cloud technology stateful, non-fault-tolerant, and long-running apps can now realize the promise of cloud agility and flexibility, according to the vendor.

Posted November 08, 2021

Talend, a global leader in data integration and data integrity, is introducing its Fall '21 release, offering new service, product, and packaging innovations. With this release, Talend applies data health concepts across its platform to help everyone from business leaders to data professionals realize value from their data quickly.

Posted November 04, 2021

NS1, a provider in application traffic intelligence and automation, is releasing its cloud-managed solution for DNS, DHCP, and IP address management (DDI), delivered through the NS1 Connect platform. NS1 Cloud-Managed DDI enables organizations to deliver core network services across their distributed network footprint with the agility of software-based deployment, the scale of cloud-native operations, and the operating efficiency of SaaS management, according to the company.

Posted November 03, 2021

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, deriving their value from that individual, will appear on an Employee entity, or a Customer entity, and so forth. However, in the process of normalizing, the data modeler must identify the objects that are meaningful and useful to the organization

Posted November 01, 2021

Tata Consultancy Services (TCS), a global IT services, consulting, and business solutions organization, has released a major new version of TCS MasterCraft TransformPlus, which leverages machine learning algorithms to more effectively analyze applications during modernization. This enriches user annotation in both program flow and technical specification documentation during the analysis of COBOL applications.

Posted November 01, 2021

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, is releasing Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances, according to AWS.

Posted October 28, 2021

SAP and the EU TUMO Convergence Center for Engineering and Applied Science, which helps bridge the gap between higher education and industry in Armenia, is launching a strategic collaboration aimed at helping university students and recent graduates understand, utilize, and shape digital technologies.

Posted October 27, 2021

Credo AI is emerging from stealth, publicly launching a comprehensive governance platform for Artificial Intelligence that provides tools that help companies ensure their AI systems and machine learning models are aligned with ethical, regulatory, and business requirements.

Posted October 20, 2021

Google AI/ML Specialist Skander Hannachi defines explainable AI and outlines its predictive power and overall value proposition for organizations during his presentation at Data Summit Connect 2021.      

Posted October 20, 2021

Nexla, the unified data operations company, today announced it has secured $12 million in a Series A funding round, enabling the company to continue to deliver on growing enterprise demand for ready-to-use data. Founded in 2016, Nexla streamlines the process of getting ready-to-use data to more applications and more users without having to use tens of different tools.

Posted October 18, 2021

Privacera, the unified data access governance provider founded by the creators of Apache Ranger, is releasing PrivaceraCloud 4.0, enabling enterprises to securely and rapidly exchange data—both inside and outside organizational boundaries—with a unified interface to govern and enforce fine-grained data permissions and policies.

Posted October 13, 2021

Streamlit, the creators of an app framework for machine learning and data science, is offering Streamlit 1.0, adding improvements and customization options that allow data scientists to go from data and models to deploying apps. Streamlit is an easy-to-use framework that lets data scientists quickly build web apps to access and explore machine learning models, advanced algorithms, and complex data types.

Posted October 12, 2021

The creators and maintainers of Fluentd and Fluent Bit are launching Calyptia Cloud, a hosted solution for visualizing and optimizing Fluentd and Fluent Bit's observability pipelines. Calyptia Cloud provides a turnkey service for managing and visualizing open source Fluentd and Fluent Bit to relieve the burdens of conjuration and monitoring, allowing customers to focus on gaining the most insights and value out of their data pipelines in cloud native environments, according to the vendor.

Posted October 07, 2021

Brian O'Neill, founder and principal of Designing for Analytics, discussed the key design challenges data product teams face during his presentation at Data Summit Connect 2021.        

Posted October 07, 2021

Marvel should have an evil villain named "Null." Nulls have always been trouble in the relational world. Certainly, nulls are used all over the place by virtually everyone. Still, that does not mean that nulls are harmless.

Posted October 05, 2021

The Open Mainframe Project recently announced record growth in contributions with more than 105.31 million lines of code written and more than 9,600 commits submitted by Open Mainframe Project communities so far this year. This is 100% more code than last year with an increased number of active participants in the 20 project and working groups. These numbers will only increase as Open Mainframe continues to be the cornerstone of governance and innovation for modernizing the mainframe and its path to IoT, Cloud and Edge Computing.

Posted October 04, 2021

IBM and Linux Foundation AI and Data (LFAI and Data) have joined together to create a "one-stop shop" for trusted data and AI artifacts in order to reduce duplication across teams when creating assets, as well as mitigate traceability, governance, risk management, lineage tracking, and metadata collection issues.  

Posted October 04, 2021

Today's data-driven organizations demand capabilities that adapt to the enterprise and open new paths of innovation to business users. Achieving leadership in today's economy requires identifying and preparing for the emerging technologies and methodologies that deliver transformation.

Posted September 27, 2021

Matillion, a leading cloud data integration platform, announced it has secured $150 million in Series E funding, empowering the company to continue to grow its cloud analytics, AI, and machine learning for large global enterprises. The funding round was led by General Atlantic, a global growth equity firm, with participation from Battery Ventures, Sapphire Ventures, Scale Venture Partners, and Lightspeed Venture Partners.

Posted September 23, 2021

From data ingestion to data modeling and governance, more and more organizations are looking towards automation to accelerate and improve data management and analytics processes. And at a time when data environments continue to expand in size and complexity while IT staff sizes remain relatively flat, it's easy to understand the appeal. Business leaders are hungry for fast, actionable insights. Manual tasks are error prone and time consuming. For many enterprises, the traditional approach to data management is no longer sustainable, particularly when it comes to enabling modern data analytics strategies.

Posted September 23, 2021

Zumasys is offering a video training series on PICK MultiValue Dictionaries. The most recent virtual session features Pete Schellenbach, author of AccuTerm. Additionally, AccuTerm Enterprise is available for Independent Software Vendors (ISVs) or environments with hundreds of users.

Posted September 22, 2021

Domino Data Lab, provider of the Enterprise MLOps platform, is making upgrades to its model monitoring capabilities, allowing companies to place greater trust in the models they deploy. This and other enhancements—including Domino Model Monitor (DMM) support for AWS, GCP, and Azure— are part of Domino 4.6.

Posted September 21, 2021

Document-oriented databases are one of the fastest growing categories of NoSQL databases, and the primary reason is the flexibility of schema or logic design. Document databases make it easier for developers to store and query data in a database by using the same document-model format they use in their application code. The flexible, semi-structured, and hierarchical nature of documents and document databases allows them to evolve with applications' needs.

Posted September 16, 2021

Revelation Software's latest release of OpenInsight, version 10.1, has changes, new functionality, and improved performance throughout the product. DBTA recently held a webinar with Bob Carten, senior developer, Revelation Software and Bryan Shumsky, senior developer, Revelation Software, who discussed some of these improvements, including a new Database Tool panel, a brand new Examples application, new REST functionality, updated help and support documents, and more.

Posted September 16, 2021

Syniti, a provider of enterprise data management, is acquiring 360Science, a proven data quality leader specializing in matching, deduping, unifying, linking, and verifying contact and business data. The acquisition, which encompasses 360Science's technology and the retention of key talent in data matching and linguistics, will strengthen Syniti's expertise in helping customers tackle the complex issues surrounding data.

Posted September 16, 2021

Aerospike is delivering optimizations with its 5.7 release, boosting the real-time data platform to deliver queries on larger, more mission-critical datasets.

Posted September 15, 2021

Seth Earley identified data quality, testing, and web analysis reports as three key sources of product data metrics and described what they track and reveal during his keynote at Data Summit Connect 2021.          

Posted September 15, 2021

Teradata, the connected multi-cloud data platform for enterprise analytics, announced that Vantage is now able to operationalize externally created predictive models, also known as model sharing or bring your own model (BYOM). Businesses will now be able to quickly realize a greater return on investment (ROI) in developing analytical models through increased model operationalization, expanded analytic use cases, and a streamlined approach to data-driven decision-making.

Posted September 10, 2021

The Call for Speakers is now open for Data Summit 2022 which will be held at the Hyatt Regency Boston May 17-18, 2022, with pre-conference workshops on May 16, 2022. The Data Summit conference focuses on the business and technical aspects of Big Data, Data Management, DevOps, Data Management, AI, Machine Learning, and the ramifications of working in a data-driven environment.

Posted September 09, 2021

Today, organizations need data-driven insights to advance decision making at all levels and digital transformation is a key component of those efforts. Supporting data-driven insights and digital transformation takes an ever-growing range of services, products, and tools from forward-thinking companies that are working to help their customers deliver the right insights to the right people at the right time.

Posted September 08, 2021

Riverbed is offering more critical cloud visibility and reporting capabilities in its industry-leading end-to-end visibility solutions—adding support of Azure NSG and AWS VPC flow logs.

Posted September 03, 2021

Dynatrace, in partnership with Microsoft, is offering a new integration that provides full application data transparency into applications deployed on Azure Spring Cloud.

Posted September 02, 2021

CircleCI, a leading continuous integration and continuous delivery (CI/CD) platform, is releasing CircleCI webhooks, a feature that provides software engineering teams the ability to build integrations that react to CircleCI job and workflow status notifications.

Posted September 02, 2021

Databricks, the Data and AI company, announced it received $1.6 Billion in a new round of funding to accelerate innovation and adoption of the data lakehouse. Driven by open standards, cloud adoption and the continued rise of machine learning applications, the company intends to build on its lead by investing in innovations that further simplify AI, preserve choice and flexibility across all major public clouds, and establish the lakehouse as a modern replacement to the legacy data warehouse.

Posted September 01, 2021

Oracle has announced the Verrazzano Enterprise Container Platform. It runs on top of Kubernetes—on-premise and in the cloud?and enables users to deploy container applications to any of the Kubernetes clusters where Verrazzano is installed. "Technically speaking, Oracle Verrazzano is a container deployment and management platform that embodies the core requirements and design principles of cloud-native application development," said David Cabelus, a product manager in the OCI Developer Service group, with a focus on OKE add-ons and hybrid cloud, in a recent blog post.

Posted September 01, 2021

BlueFinity is updating its Evoke low-code app development platform with an integrated and adaptable 360-degree imaging virtual tour capability. This is a multi-purpose feature that provides for the searching, browsing and inspection of any store, venue, property, or utility through an integrated feature of an app. According to the company, the results are sophisticated, full-function web and mobile apps that can be fully integrated with any database (Db2, SQL, Oracle, MultiValue, etc.).

Posted September 01, 2021

Northern Light CEO David Seuss enumerated the benefits of building smart taxonomies for organizing and leveraging vast content repositories during his presentation at Data Summit Connect 2021.       

Posted August 30, 2021

Actian SVP Emma McGrattan explained how to build a cloud-based data architecture tailored to your specific business needs rather than peak workload during her presentation at Data Summit Connect 2021.   

Posted August 26, 2021

Tecton, the enterprise feature store company, is adding low-latency streaming pipelines to its feature store so that organizations can quickly and reliably build real-time machine learning models.

Posted August 11, 2021

TruEra, provider of a suite of AI quality solutions, is releasing TruLens, an open source explainability software tool for machine learning models that are based on neural networks. TruLens is a library for deep neural networks that provides a uniform API for explaining Tensorflow, Pytorch, and Keras models. The software is freely available for download, and comes with documentation and a developer community to further its development and use.

Posted August 10, 2021

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. As a result, new solutions have emerged to deliver key capabilities in areas including visualization, self-service and real-time analytics. Along with the rise of DataOps, greater collaboration and automation have been identified as key success factors.

Posted August 05, 2021

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