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Data Engineering - Reshaping and Reimagining 2022

Devendra Deshmukh Mar 30, 2022

Phygital Digital Transformation Digital Innovation Digital Data Engineering AI/ML Data Lake Multi Cloud Low Code and No Code Platforms Data Engineering

Today, data is output for almost everything we do, right from browsing the internet to content we consume through to the transactions we do. Data is generating in every way and form today as we are living It rules our lives the ways we don’t even know in some cases. And as we grow into the phygital world it will only increase. Data today has a number of uses as well it is enabling us to search, use and consume more and also is enabling organizations design and deliver personalized experiences.

In the business context organizations that leverage data-driven decision-making are on the path to stay further ahead of the curve than those that don’t. It has been estimated that by the year 2025, the world will have created 200 zettabytes of data. Undoubtedly, storing and deriving value from this amount of data is significantly complex. This means that it is critical for companies to derive value from their data and protect their organizations and customers. Here is where data engineering comes into play helping businesses reshape and reimagine the use of data in 2022, and beyond.

As we go into the next year, organizations and data innovators building out their data strategies and data stack must expect to see the following 5 key trends that will reshape their organizations:

  • Multi-Cloud, More Hybrid, and Edge Environments

Whether it is about data from productivity applications or data from machines, there’s too much unstructured data in the world. To overcome the unstructured data challenges, companies must build their data stack from the ground up. We are increasingly seeing businesses leverage a multi-cloud, more hybrid, and edge environments that will help them manage unstructured data while ensuring they comply with security and governance regulations.

  • Rapid Increase in Data Discovery Tools

A majority of organizations are now using data catalogs and data discovery tools. It is clear that now advanced data tools have become a standard procedure to many organizations. The adoption rate of these tools is also continuously increasing. Besides that, data governance is also becoming a great deal for most companies empowering users to manage visibility, compliance, and access across all organizational data.

  • Immense Digital Transformation in Data Warehouses and Lakes

Competition rose among giants in the cloud ecosystem in 2021. It included both a data warehouse as well as a data lake. However, we will see the overlap of the technologies driving digital transformation in the year 2022. It has been predicted that the convergence of data warehouses and data lakes will simplify the technology for the organizations. As organizations contend with many sources of data across different platforms, a stable investment in metadata strategy is the first step to regulate data processes for greater value.

  • Continuation Of Data Quality Issue

Nowadays, the importance of data and the need for advanced AI and ML capabilities are increasing day by day. As a result, companies will continue to experience data quality issues in their data architecture. However, to tackle this issue, the best solution is to address it in a proactive, holistic, and systematic manner so that any severe impact on key products and services can be avoided. There is a huge need for data regularization and quality testing systems in organizations. And this has led to the emergence of companies for data discrepancies. Besides that, the issue of separating junk data from helpful data remains pertinent as ever. Even in the year 2022, challenges around ensuring data quality will continue in the organizations.

  • The Rise of the No Code/Low Code Platforms

2022 will see a rise of no-code/low code platforms that will drive greater enterprise agility through automation. Due to this, non-technical business users will get to access data and make smarter business decisions in no time. These democratized and data-driven workflows will usher in greater diversity in the industries. With this, companies can become key players in the data ecosystem without having a core data background. Data mesh architectures are emerging as an important factor for success as it makes them usable across numerous tools.

Businesses can leverage developments and remain a step ahead of their competitors by staying aware of what’s going on in the market. And 2022's technology trends will be key for the organizations to be on top of their data game.

e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.