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Microservice philosophy favors decentralization in all aspects of software design. This focus on decentralization doesn’t just guide the organization of business logic. It also guides how data is persisted. In the traditional monolithic approach to software design it is common to use a monolithic data store, such as a SQL server that contains a single database with many tables. This central database is used as an engine for all data persistence, and often portions of…

I noted in several recent blogs that the COVID-19 crisis increased the need for digital transformation because the crisis brings new value-creation opportunities to businesses, and I explained how to capture those business advantages even in a recession. It necessitates implementing the right infrastructure – not just cloud and automation, but also a robust data management capability. Unfortunately, many companies accelerate digital transformation without a robust data management structure. Warning: Lacking this ability for data mastery, they essentially play Russian roulette…

Data volumes continue to grow at accelerating rates, and with that, finding what we’re looking for is getting even harder. Artificial intelligence (AI) and machine learning (ML) are promoted as solutions, but they lie at the heart of the problem. We see the onrushing tsunami of data. In November 2018, IDC predicted the “Global Datapshere” would grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025. Like a deer caught in the headlights, we instinctively…

How many times have organizations been told that data is their most important and strategic asset? It’s the black gold, the lifeblood, the new oil and, most importantly, the new source code that keeps the wheels of business turning in the digital era. Data is the doorway to new business models, faster time-to-market and competitive differentiation. But the next evolution set to shift the dynamics of data and intelligence is accelerated DataOps. This is effectively…

Few business assets have more untapped potential than our vendor masters. Imagine what would happen if hundreds or thousands of your supplier records were complete and up to date. What if this master data was free of duplicates and other errors? What if all of your vendor records were protected from fraudulent entries? The improvement would be immediate. A clean, reliable and common dataset for all vendors enables you to make better sourcing decisions and…

Cloud data management is making new waves and getting increasingly popular. It promises the benefits of cloud and other associated technologies like in-memory databases, streaming, and multi-tenant databases. Cloud data management is one of the fastest growing alternatives to data management using the traditional or on-premise software. The cloud environment is different and leverages a whole new set of data management tools. Cloud data management is making new waves and getting increasingly popular. It promises…

DataOps, of course! We’ve had a front-row seat watching companies apply DataOps methods to data analytics. There has been no single idea that has been as effective as DataOps at improving efficiencies and encouraging creativity in analytics teams. We recently worked with a company to reduce the time required to provision new analytics development environments from 20 weeks to one day. An automated orchestration capability such as this slashes cycle time and decreases the cost…

The center segments of ace information the board (MDM), in particular record linkage and substance information coordination (typically centered around client information), have been around for a long time. It is just since the mid-2000s, in any case, that merchants have given MDM apparatus suites by bundling these capacities with substance information models and comparing information administrations. Now the market is starting to see a second era of MDM instrument merchants that help client or…