On 22 February 2022, Ronald van Loon hosted a Simplilearn webinar, discussing the emerging technology of data fabrics and how it will impact the careers of data science and analytics professionals.

Ronald is one of the foremost thought leaders in the fields of Data Science and Digital Transformation. He was named by Onalytica as the world's #1 influencer in Data and Analytics, Automation, and the Future of the Economy (Tech), the #2 influencer in the Internet of Things (IoT).

Ronald explained that data fabrics are an integrated layer of data and connecting process. Data fabrics use analytics over metadata and support designing, deploying, and using integrated data.

Data and Business

An organization’s data is getting increasingly more complex. The way we manage, access, and connect this data plays an important role in the success of your business. 

Data fabrics is a new way for businesses to manage and connect their data in real time. They use analytics over metadata, and support designing, deploying, and using integrated data across all environments in hybrid cloud and multi-cloud.

The Components of Data Fabrics

Data fabrics is a design process that uses various technologies to improve your data management by connecting technologies and deploying data across all environments. These data fabric architectures are made using both build and bought solutions, like creating a data management platform.

As Van Loon pointed out, the three components of data fabrics are:

  1. Semantic knowledge graphs
  2. Active metadata management
  3. Embedded machine learning

Through the combination of technologies listed above, you can create a data fabric to easily access and manage your organization’s complex data.

How Data Fabrics Support Data Management Practices and Processes

Regardless of whether you’re recruiting top talent, or bringing new products or services to market, businesses today have a lot of data, which makes managing and using this data increasingly challenging.

This is especially true in organizations that have different teams or departments all which use unique systems to gather and store their data. Different structures and platforms can create friction when other teams or departments want to access this data. Data fabrics continuously identify and connect data from different applications, helping you discover relevant relationships between data points, and monitor data pipelines for insights or issues.

Using data fabrics creates a connection amongst all your different data sources, vendors, or multi-cloud environments to help organizations get insights from their data extremely fast. Driving the data to the right place, making it easy to access and use for the end user without having to deal with the complexities of accessing different databases.

What Business Leaders Need to Understand About Data Fabrics

For business leaders, connecting all your data from different departments and sources (from marketing, to sales, to accounting) gives you the ability to discover trends in your business and create better experiences for your customer.

A prime example throughout the global pandemic can be seen when many organizations were forced to scale their technology. But bringing their business to the digital world and operating in the cloud, created more data complexities for business owners. 

This is where data fabrics come into play. By making data fabrics an integral part of your business you can move or access this data in real-time, unifying your data sources, and removing any boundaries between your data and the rest of your business.

Simply put, implementing data fabrics can help your business drive innovation and adapt to whatever conditions your business faces.

[Please embed the video here: https://www.linkedin.com/video/live/urn:li:ugcPost:6901911125588291586/]

The Benefits of Data Fabrics

There are several benefits of data fabrics for an organization. They assist businesses with profiling datasets, supporting data user types (both business and IT), and provide intelligent data orchestration.

Other benefits of data fabrics include:

  • Reduce costs associated with analyzing data or moving data from one cloud to another.
  • Provide better, real-time analytics to help you create a more engaging customer experience.
  • Integrate your applications to create a single interface for all independent applications your organization has running. 
  • By connecting your data with data fabrics, you can use all your organization’s data to create new solutions, products, and services for your customers.

Data fabrics also help to reduce administration time spent searching your data. Information is easily accessible on-demand, and at your fingertips. 

The Business Value of Data Fabrics

Once designed and built, data fabrics can enhance and aid in your business’s digital transformation. Data fabrics are the foundation of a business’ data management process.

It improves your data strategies, and helps to connect and manage applications, people, cloud, and data.

Applying data fabrics to your data management strategy also enhances collaboration by making it easier for colleagues to access and use key data points in your business. With a data fabric architecture in place, businesses have the capacity to focus on innovation rather than data management.

Starting Your Future in Data Fabrics

A strong understanding of data fabrics opens the door to several potential careers including Business Analyst, Data Scientist, Data Analyst, and even Data Engineer. But to find success in these roles, you’ll want to look into furthering your skill sets for the specific position you’re applying for.

For aspiring Data Scientists, other skills you may need include:

Looking forward to becoming a Data Scientist? Check out the PG in Data Science and get certified today.

Ready to Shape Your Career in Data Science?

Simplilearn's Professional Certificate Program in Data Science, in partnership with Purdue University, provides a comprehensive learning path to certification as a Data Scientist.

This program is ideal for working professionals. It covers job-critical topics like R, Python programming, Machine Learning algorithms, and NLP concepts, Data Visualization with Tableau in great detail.

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Program NameDurationFees
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Caltech Post Graduate Program in Data Science

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Data Scientist11 Months$ 1,449
Data Analyst11 Months$ 1,449

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