Crafting a Data Fabric Within a Data-Driven Organization at Data Summit Connect 2021

The data management world is not standing still; it is constantly evolving as new technologies and new requirements emerge.

At Data Summit Connect 2021, Inessa Gerber, director of product management, Denodo, and Ruben Ugarte, data strategist, Practico Analytics discussed data virtualization, the logical data fabric, and how they both mix during her presentation, “Modernizing Data Management with Logical Data Fabric”.

The annual Data Summit event is being held virtually again this year—May 10–May 12—due to the ongoing COVID-19 pandemic.

A logical data warehouse is composed of complementary technologies which can drive the business to quickly generate insights, Gerber explained.

A one size solution doesn’t fit everyone, Gerber said. Data lakes are great to use when working with unknown data. A data scientist can pull insight from the unknown data.

“It’s different technologies at different speeds,” Gerber said.”Different business problems require you to use different techniques.”

Data virtualization is a critical point to expose data to consumers. It has emerged more dominant integration lifecycle.

The data fabric focuses on automating the process integration, transformation, preparation, curation, security, governance, and orchestration to enable analytics and insights quickly for business success.

It’s an overlay of different technologies working together to solve the data warehouse or data lake problem, she explained.

“It’s all about getting value from the data,” Gerber said.

There are six pillars of the data fabric. This includes:

  • Augmented data catalog
  • Knowledge graph enriched with semantics
  • Metadata activation
  • Recommendation engine
  • Data preparation and data delivery
  • Orchestration and DataOps

“The solution has to be flexible, reside and serve a deployment style,” Gerber said.

During Ugarte’s presentation he outlined a variety of requirements for creating a data-driven culture within the organization to support successful outcomes.

It’s all about making the data accessible and comprehensible throughout the organization. Because data is organized and no longer in a silo it can be shared, she noted.

According to Ugarte, a data-driven culture collects and stores the right data, aligns data with strategy and outcomes, democratize access to data, deal with psychological issues, break through silos, provide the right training, and manage expectations around data.

“As a company you want to see where the gaps might be in your data ecosystem,” he said.

Register here now for Data Summit Connect 2021 which continues through Wednesday, May 12.