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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

GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite, has introduced new GridGain Developer Bundles, which include support, consulting, and training for GridGain Community or Enterprise Edition.

Posted July 02, 2019

RavenDB, a provider of database infrastructure solutions, is releasing its new RavenDB Cloud managed database service. RavenDB Cloud performs all daily tasks such as maintaining hardware servers, installation, configuration, monitoring internals, and security for its users worldwide.

Posted July 02, 2019

MongoDB, a provider of a general purpose data platform, is releasing an enhanced version of its core database MongoDB 4.2. Key features include distributed transactions, field level encryption, and an updated Kubernetes Operator.

Posted June 28, 2019

SolarWinds, a provider of IT management software, is integrating AppOptics, the company's SaaS-based application performance monitoring solution, with its Loggly and Papertrail cloud-hosted log monitoring and log analytics solutions. AppOptics together with Loggly and Papertrail now combine application performance management (APM), distributed tracing, and log management to help technology professionals identify performance and availability issues before they affect users, pinpoint the root cause, and reduce mean time to repair (MTTR).

Posted June 27, 2019

Oracle has introduced the new Autonomous Database Dedicated service to provide customers with more control for their most mission-critical workloads. "Our Autonomous Database Dedicated service eliminates the concerns enterprise customers previously had about security, isolation, and operational policies when moving to cloud," said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle.

Posted June 26, 2019

Hewlett Packard Enterprise (HPE) is introducing new edge solutions, research labs, and programs to simplify and accelerate Intelligent Edge adoption. These initiatives will enable customers to create unique digital experiences and leverage analytics and machine learning to adapt to changes in real-time.

Posted June 19, 2019

Tamr has announced the general availability of the Spring 2019 release of the company's patented data unification system. Purpose-built to leverage machine learning, human knowledge, and—where appropriaterules to solve data integration challenges, Tamr enables organizations to create unified data assets that fuel analytic insights and operational improvements.

Posted June 18, 2019

Scale Computing, a provider of edge computing solutions, announced that the KVM-based hypervisor in the HC3 product family is now fully supported by Parallels Remote Application Server17 (Parallels RAS). When combined with Parallels RAS, Scale Computing HC3 enables administrators to rapidly provision and manage virtual machines (VM) thin clones centrally from Parallels RAS Console to make VDI solutions faster, more affordable, and easier to use.

Posted June 18, 2019

Time series databases are optimized for collecting, storing, retrieving, and processing time series data. It's critical that businesses use a time series database for time series data and not one of the traditional data stores. DBTA recently held a webinar with Daniella Pontes, product manager, InfluxData, who discussed how Time Series Databases are built with specific workloads and requirements in mind, including the ability to ingest millions of data points per second.

Posted June 17, 2019

Alteryx has introduced Assisted Modeling, an interactive guide built into the Alteryx Platform to walk users through the creation of machine learning models. With the introduction of Assisted Modeling, the company plans to amplify the capabilities of analysts and citizen data scientists, delivering transparent machine learning in a code-free environment.

Posted June 12, 2019

At times, there is a need to have security within the database be a bit more sophisticated than what is available.  On specific tables, there may be a need to limit access to a subset of rows, or a subset of columns to specific users. Yes indeed, views have always existed, and yes indeed, views can be established limiting rows or columns displayed. However, views only can go so far.

Posted June 10, 2019

While change has always been a part of the database credo, the growing emphasis on data-driven decision making in today's economy has resulted in a dizzying plethora of technologies and methodologies entering the market. The number and scope of game-changing technologies are too numerous to mention, and one thing is certain: Database management will never be the same. We have identified some of the most promising technology initiatives, based on discussions with and input from data experts from across the industry spectrum, gathering their views on the key technologies—well-known or under the radar—that are worth watching.

Posted June 10, 2019

CDC can greatly minimize the amount of data processed; but the cost is that the processes themselves become more complicated and overall storage may be higher. Costs are moved around, the final level of processing becomes focused on the minimal changes, and this minimization is the efficiency to be gained. Moving forward, using the data becomes standardized and ultimately straightforward.

Posted June 10, 2019

SnapLogic, provider of an Intelligent Integration Platform, is now a certified CoupaLink Technology Partner after successfully completing the certification to integrate with the Coupa Business Spend Management (BSM) Platform. SnapLogic's new Coupa connector uses Coupa's REST-based APIs to enable seamless data flow to and from the Coupa BSM Platform.

Posted June 07, 2019

Data lake adoption is on the rise. Right now, 38% of DBTA subscribers have data lakes deployed to support data science, data discovery and real-time analytics initiatives, and another 20% are considering adoption. Today, most data lakes are on-premises. However, the cloud is becoming an increasingly attractive location as well. While data lakes have evolved and matured over the past few years of enterprise use, many challenges still exist.

Posted June 06, 2019

DBTA's next Data Summit conference will be held May 19-20, 2020, with pre-conference workshops on Monday, May 18. The conference will return to the Hyatt Regency Boston.

Posted June 06, 2019

SolarWinds, a provider of IT management software, is adding a broad refresh to its network management portfolio, boosting network security features and more. The addition of Network Insight support for Palo Alto Networks and key enhancements to the SolarWinds Orion Platform bring greater data visibility and scalability to IT pros.

Posted June 04, 2019

Datical, a provider of database release automation solutions, is receiving a patent number for its Database Change Management Simulator. The patented technology proactively forecasts and determines the impact of database schema and stored procedure changes before they are deployed.

Posted May 31, 2019

Container usage is now being adopted by organizations of all sizes, from small startups to companies with huge, established microservices platforms. At Data Summit 2019 Jeff Fried, director of product management, Intersystems and BA Insight, MIT, and Joe Carroll, product specialist, InterSystems, presented their session, "Understanding Database Containerization," focusing on helping practitioners navigate the minefield of database containerization and avoid some of the major pitfalls that can occur.

Posted May 30, 2019

Enterprise agility isn't a single initiative but rather a collection of activities and technologies that lead toward that goal. This includes adoption of microservices, containers, and Kubernetes to increase the flexibility of systems, applications, and data by releasing them from underlying hardware. In addition, practices such as DevOps are helping to increase the level of collaboration possible for fast-moving enterprises.

Posted May 30, 2019

Red Hat is contributing to Microsoft KEDA, a new open source project aimed at providing an event-driven scale capability for any container workload. Using KEDA, Red Hat puts Azure Functions on top of its OpenShift Container Platform in Developer Preview. It is designed to behave the same way it does when running on Azure as a managed service, but now running anywhere OpenShift runs, which means on the hybrid cloud and on-premises.

Posted May 28, 2019

Due to exponentially growing data stores, organizations today are facing slowdowns and bottlenecks at peak processing times, with queries taking hours or days. Some complex queries simply cannot be executed. Data often requires tedious and time-consuming preparation before queries can be run. David Leichner, CMO, SQream, demonstrated how the power of GPUs can help conquer these challenges with his presentation, "Accelerating Analytics in a New Era of Data," during Data Summit 2019.

Posted May 24, 2019

As Data Summit 2019 comes to a close, John O'Brien, principal advisor and CEO, Radiant Advisors, looked at lessons learned from this year's conference during his closing keynote. Companies are not lacking in technology options; in most cases, more advanced technologies exist than can be absorbed into the organization all at once.

Posted May 23, 2019

The ability for knowledge graphs to amass information and relationships and connect facts is showing potential for a range of use cases. Bob Kasenchak, director of business development, Access Innovations, Inc., USA, discussed the rise of knowledge graphs in his presentation, "From Structured Text to Knowledge Graphs: Creating RDF Triples From Published Scholarly Data" at Data Summit 2019.

Posted May 23, 2019

There are new technologies that contribute to speed and scale of a modern data platform. But as data size and complexity increase with Big Data, data quality and data integration issues must still be addressed. At Data Summit 2019 Prakriteswar Santikary, VP & Global Chief Data Officer, ERT discussed how to create the architecture of a modern, cloud-based, real-time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources, during his presentation, "Designing a Fast, Scalable Data Platform."

Posted May 22, 2019

DataOps is an emerging set of practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet the needs of the business. The list of failed big data projects is long. They leave end users, data analysts, and data scientists frustrated with long lead times for changes.

Posted May 22, 2019

Whether the enterprise is completely new to machine learning (ML) or it has already trained and deployed a model from scratch, Google Cloud Platform has a variety of tools to help the company start using ML right now. Sara Robinson, developer advocate, Google, centered her presentation around the basics of machine learning during her Data Summit 2019 presentation, "Exploring Machine Learning on the Google Cloud Platform."

Posted May 21, 2019

Data science, the ability to sift through massive amounts of data to discover hidden patterns and predict future trends, may be in demand, but it requires an understanding of many different elements of data analysis. Extracting actionable knowledge from all your data to make decisions and predictions requires a number of skills, from statistics and programming to data visualization and business domain expertise.

Posted May 20, 2019

Machine learning (ML) is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. At the same time, most projects are still in the early phases. From selecting data sets and data platforms to architecting and optimizing data pipelines, there are many success factors to keep in mind.

Posted May 20, 2019

Apache Airflow is turning heads these days. It integrates with many different systems and it is quickly becoming as full-featured as anything that has been around for workflow management over the last 30 years. This is predominantly attributable to the hundreds of operators for tasks such as executing Bash scripts, executing Hadoop jobs, and querying data sources with SQL.

Posted May 16, 2019

NuoDB, the distributed SQL database company, has achieved Red Hat OpenShift Operator Certification and NuoDB Operator is available on Red Hat OpenShift. The NuoDB Operator will also be available at OperatorHub.io, a community Operator registry launched by Red Hat in early 2019 in conjunction with AWS, Microsoft, and Google Cloud.

Posted May 10, 2019

Instaclustr, the leading provider of fully managed solutions for scalable open source technologies, is introducing its certification program for open source technologies. Following a certification process across several critical variables, enterprises can build applications with even greater confidence - leveraging Instaclustr's expertise and management supporting 100% open source deployments of technologies including Apache Cassandra, that are fully scalable, performant, optimized, and secure.

Posted May 10, 2019

MariaDB Corporation's MariaDB Kubernetes Operator is available in the Red Hat Container Catalog and has achieved Red Hat OpenShift Operator Certification. The MariaDB Operator enables customers to deploy MariaDB Platform in a variety of database configurations in a Kubernetes environment and is a key technology for MariaDB's cloud strategy.

Posted May 08, 2019

AntWorks, a global provider of artificial intelligence and intelligent automation solutions powered by fractal science, is introducing ANTstein SQUARE. The platform is a fullstack solution that enables non-technical business users to automate end-to-end business processes quickly, easily, and in a scalable manner.

Posted May 03, 2019

Machine learning can be used for a variety of roles such as troubleshooting, capacity planning, and performance analysis. Businesses can use machine learning to understand seasonality for trending and forecasting capabilities or view dashboards on data already collected. 

Posted May 01, 2019

Dynatrace, a software intelligence company, is extending its AI-powered platform to include IBM Z support for CICS, IMS, and middleware. The aim is to give customers precise information about the performance of digital services across hybrid environments; from modern cloud applications to the mainframe.

Posted April 29, 2019

New technology trends continue to reshape the practice of database management as cloud computing, AI, and automation continue to change how data is acquired and insights gleaned. As a result, database professionals are faced with new challenges and opportunities. Today, database teams are tasked with managing more databases, bigger databases, and a greater variety of databases — on premises and in the cloud.

Posted April 29, 2019

Today, there are more opportunities than ever for organizations to achieve new levels of success by capitalizing on data and analytics. Despite this fact, many organizations struggle to build, grow, and reinforce their analytics capabilities. Shelly Brown, director, Booz Allen Hamilton will explain how a framework known as ADAPT+C  can address an organization's most critical analytics problems with a "best-fit" approach during her Data Summit 2019 presentation, "ADAPT+C: A Framework for Building a Data-Driven Organization."

Posted April 29, 2019

Quest Software, a global systems management, data protection and security software provider, is releasing Foglight Container Management, a solution that provides real-time and historical analytics of containers. Foglight Container Management supports business's container initiative by empowering IT infrastructure teams to quickly identify incidents and proactively prevent issues from happening.

Posted April 26, 2019

Snowflake is partnering with Anodot, the autonomous analytics company, allowing Snowflake customers to access Anodot's real-time anomaly detection. With Anodot and Snowflake's emerging partnership, customers will have access to Snowflake's built-for-the-cloud data warehouse and can receive instant alerts and insights from Anodot for potential issues before they cost customers significant ROI.

Posted April 26, 2019

TigerGraph, a scalable graph database for the enterprise, is accelerating its cloud strategy by offering its platform as a pay-as-you-go service on Amazon Web Services (AWS). With the launch of the pay-as-you-go offering, customers will be able to enjoy a friction-free experience for using TigerGraph's fast and powerful graph database, without cumbersome acquisition and deployment processes.

Posted April 25, 2019

Databases these days are comprised of so many elements that it's important to remember to support a hybrid environment. A modern database should no longer be transactional or analytical, relational or non-relational, on-premises or in the cloud. It needs to support hybrid processing, hybrid data, and hybrid cloud. It needs to support hybrid everything.

Posted April 25, 2019

Unlike other awards programs that rely on our editorial staff's evaluations, the DBTA Readers' Choice Awards are unique in that the winning information management solutions are chosen by you—the people who actually use them.

Posted April 24, 2019

SAP is making enhancements to the SAP HANA database in the cloud and on premise, providing instant access to critical data and extreme performance to democratize in-memory computing. Updates include enhanced cloud support, persistent memory support with Intel, intelligent recommendations for efficient database management, new machine learning (ML) capabilities, hyper-converged infrastructure (HCI) certification, improved cost-effective data tiering, and data security enhancements.

Posted April 24, 2019

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