Data Lake or Data Warehouse: Which Is Right for You?
Should your organization implement a Data Lake or a Data Warehouse? As Kelle O’Neal, CEO and Founder of First San Francisco Partners, pointed out during her presentation at the DATAVERSITY® 2017 Enterprise Analytics Online Conference, you don’t necessarily need to choose just one: Many organizations use both a Data Lake and a Data Warehouse. In […]
Read More →Intelligent Data Management Supports Better Data Access
Data access is a right, not a privilege. That philosophy may not be directly stated by companies, but certainly they have moved in that direction. Of course, it’s understood that not everyone is entitled to access all data. Nonetheless, the landscape has changed from the days when IT primarily held the keys and access was […]
Read More →Blockchain Uses Multiply with New Database Innovations
Blockchain is still considered new technology, best known for supporting cryptocurrencies such as Bitcoin and Ether. But Blockchain can provide security for a variety of purposes, ranging from privacy controls on medical records to preventing vote tampering. Ultimately, Blockchain is a secure, encrypted database of agreements. Blockchain serves as a bookkeeping/contract platform which is incorruptible […]
Read More →Building the Pillars of Data Modeling and Enterprise Architecture
Ron Huizenga believes it’s possible for an organization to reach an enlightened state where users can “understand the journey of their data through the entire organization.” That entails knowing when the data was created, the processes that use it, being aware of how it’s transformed on its way through the organization, and ultimately, knowing when […]
Read More →Case Study: Data Virtualization Seasons the Machine Learning and Blockchain Landscape for McCormick
Food flavoring giant McCormick is spicing things by adopting Data Virtualization for a number of its key projects including the deployment of Machine Learning techniques and a Blockchain collaboration program with a prominent retailer as part of a plan to better control food quality. In a recent DATAVERSITY® interview with Terry Moon, an Information Architect […]
Read More →Smart Availability Enhances Enterprise Architecture Success
Smart Availability enables a workload to always be run from the best execution environment. Smart Availability uses the central idea of high availability (dedicated resources between systems preventing downtime) and develops it into the maximizing of a competitive advantage. Smart Availability allows clients and staff to shift workloads between servers, operating systems, and virtual and […]
Read More →Case Study: NAMI Tames Cumbersome Analytics Processes
David Levy has been the Chief Financial Officer for the National Alliance on Mental Illness (NAMI) – responsible for accounting, finance, financial reporting, and HR – since 2012.The company has grown substantially in the last six years. According to the company website, NAMI is “the largest grassroots-based organization helping families and those affected by mental […]
Read More →Connecting SQL and NoSQL into One Platform
Merging the comfortable familiarity and efficiency of SQL with the flexibility and scalability of a non-relational systems is no easy task. CrateDB, offered by Crate.io, is a “distributed SQL database that is built on top of a NoSQL foundation.” It allows users who are comfortable using and SQL database to save and query machine data, […]
Read More →Webinar: How Columnar Databases Support Modern Analytics
To view just the Slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar The increased requirements of modern analytical workloads – querying billions of rows on demand, in real time and in unforeseen ways – is a challenge for traditional databases because they’re optimized for transactional workloads (e.g., point and […]
Read More →The Fundamentals of Microservices: Use Cases and Benefits
Microservices offer a number of benefits, which include helping release software faster, update software more frequently, and add new features more quickly. Microservices provide the flexibility to use different technologies and different programming languages, depending on the organization’s needs. The Microservice philosophy of decentralization effects the management and architecture of data. The traditional monolithic approach […]
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