Unlocking the Future: Opportunities for Career Growth in Data and AI
Get ready to dive into the world of data and artificial intelligence. Grow your career in an exciting field with endless possibilities. In this blog post, we'll explore the future of work in data and AI, highlighting some emerging trends that will shape the industry in the coming years. So, grab a cup of coffee and let's get started!
Emerging Trends in Data and AI.
Unstructured data is a treasure trove
In today's digital age, data is being generated at an unprecedented rate. But here's the catch - a significant portion of this data is unstructured, meaning it lacks a predefined data model or organization. However, companies are beginning to recognize the immense value hidden within unstructured data. From social media posts to customer reviews, this type of data can provide crucial insights into consumer behavior, market trends, and more.
The importance of data fabric
As the volume and variety of data continue to grow, the need for a robust and flexible data infrastructure becomes even more apparent. Enter data fabric - a unified architecture that seamlessly integrates various data sources and formats. With data fabric, organizations can break down data silos and gain a holistic view of their data landscape, enabling them to make more informed decisions and stay ahead of the competition.
How to build a data fabric
To harness the power of data fabric, companies use teams of skilled data engineers, architects, and scientists to break down data silos and gain a comprehensive understanding of their data landscape. By doing so, they empower themselves to make well-informed decisions and maintain a competitive edge.
The process of building a data fabric may seem daunting, but it can be simplified into the following steps:
1. Identify your data sources
The first step is to identify all of the data sources that you need to integrate into your data fabric. This includes data that is stored in on-premises databases, cloud-based data warehouses, and even edge devices.
2. Gather metadata
Once you have identified your data sources, you need to gather metadata about each source. This metadata will include information about the data's structure, format, and semantics.
3. Build a data model
The next step is to build a data model that will define the relationships between the different data sources. This data model will be used to unify the data and make it accessible to users.
4. Implement the data fabric
5. Manage the data fabric
The roles that support a data fabric
Data architect
The data architect is responsible for designing the data fabric architecture. This includes defining the data model, identifying the data sources, and gathering metadata.
Data engineer
The data engineer is responsible for implementing the data fabric. This includes deploying the hardware and software, configuring the data fabric, and migrating data into the data fabric.
Data scientist
The data scientist is responsible for using the data fabric to gain insights from data. This includes building data models, developing machine learning algorithms, and conducting data analysis.
There's nothing to SFIA
Deviare can help you build a data fabric by building data and AI skills capacity. Our data and AI training programs are designed with the Skills Framework for the Information Age (SFIA) in mind.
SFIA is a globally recognized framework that helps individuals and organizations assess and develop the skills needed to succeed in the digital age. By aligning your skills with the SFIA framework, you'll be able to showcase your expertise to potential employers and position yourself as a valuable asset in the data and AI landscape.
Align your skills with a framework built for the future
- You'll be able to demonstrate your skills to potential employers and clients.
- You'll be able to identify gaps in your skills and develop a plan to fill them.
- You'll be able to network with other professionals who are aligned with SFIA.
- You'll be able to stay up-to-date on the latest trends in data and AI.
If you're interested in building a data fabric or developing your data and AI skills, contact Deviare today. We'll help you get started on the path to
References
Emerging trends require data culture shift
Unstructured data is hidden gold mine
Data breaches cost SA’s financial sector R73m on average
Open Data Fabric: A Decentralized Data Exchange and Transformation Protocol With Complete Reproducibility and Provenance Understanding the value of holistic data management