DATA TRENDS AND CHALLENGES
Getting a handle on a multi-billion dollar industry changing the landscape of mankind and business today is a large task.
Identify where you are in the areas of infrastructure, middleware, applications, analytics, AI, cloud and cybersecurity.
Work backwards from the need. Most companies struggle with the pulling nature of applications and analytics as opposed to sorting out the infrastructure aspects where the assets are most impacted.
IT Directors are often stuck in their own created stack – first with the database driven structure for query and later, for thousands of software toolset choices. Some call this approach buying a “go faster” technology; but at what cost?
Entropy asks baseline questions such as where the data exists, what structure is it in and who is governing the assets (really)? This straightforward approach begins to uncover the historical legacy spending on what has been created. It shows the good and bad of scripted developers and expensive software.
WHAT TO CONSIDER TODAY
Start with the data source.
Entropy’s expertise, in collaboration with partners and clients, focuses on thinking FIRST about the nature of the data itself. This data integration brings data together in diverse formats, with varying levels of quality from various sources into target application, such as analytics, reporting, or data warehouses.
All companies face challenges of performance, the speed of a master data workflow and how to dynamically manage a growing set of assets. Once an architecture is assessed, a foundation of better data management begins.
When companies uncover legacy investment, initial reaction is twofold – don’t throw away past work and protect those people that built the system.
The Entropy approach honors those realties by working with legacy systems to the GREATEST extent possible and to collaborate with the IT people. The approach with the greatest impact is to infuse the system with new and CHEAPER (often open software) alternatives and a fresh mindset of talent that is not constrained with a stack mentality of creating solutions.
The focus: cost savings over the short and long term.
One company’s story - CloverETL
CloverETL has provided classic data integration software and services for over 15 years... with a knowledge and developer base in the Czech Republic and a strong presence in the U.S. and the U.K.
The CloverETL team relies on a few guiding principles that make them successful.
First, a commitment to the business and technology of data. Nothing can replace the passion to develop and innovate around an area that other companies take for granted. AGC Partners of Boston calls data integration, the $100B Business Nobody wants. Data is not glorious; it’s essential.
Second, the Clover team sticks to its vision and has not chased buzz words. As terms such as Hadoop, Big Data and now, Data Lake have their days in the sun, Clover leadership eschews hype in favor of taking a look at how the data can be better managed, moved and integrated.
Finally, there’s a refreshing approach the Clover team takes when it looks at data across different vertical markets. They see data movement as workflow with selected business rules, all under an umbrella of how it is moved and delivered. It means they don’t get spun up about any one particular use case per se; it’s more about what is happening at the data level.
What’s coming on the horizon for this thought leader is the automation of data integration, bridging change in the offer to the actual run-time of the data process. This, along with a unique API approach to connecting to any source or target makes CloverETL product one to watch.