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The past few years have proven that data is the lifeblood for forward-thinking organizations. Explosive growth of data has created demand for data engineering solutions. By building highly reliable data pipelines, designing accurate visualizations and relying on data-driven decision-making, industry leaders can uncover compelling insights in new ways and at faster speed. In layman’s terms, Data Engineering is a set of actions aimed at building interfaces and mechanisms for easy flow and access of information. The importance of data engineering platform is that it can optimize the movement of data across the organization – from origin to destination. Be it wrangling data or unifying messy data sets, analysing complex data structures or automating data exchange, organizations can create competent data platforms that can support both current and future business demands.
Here are some key trends in the data engineering space that organizations can leverage to thrive in the post-pandemic future-
Organizations are fusing data engineering solutions and capabilities with DataOps to maintain the integrity, accuracy and completeness of data and deliver on real-time analytics, visualizations and statistics. With Data Ops, organizations can focus on improving communication, integration and automation of data flow between their members. This can help organizations deliver consumption-ready pipelines, master end-to-end data management and reduce cycle times to analytics. Further, they can perform rapid error catching, build comprehensive data governance programs and overcome the challenges that data siloes have created.
Due to the surge in data privacy, cyber-attacks and security concerns, more and more organizations are moving their data to multi-cloud, hybrid and edge environments. By merging data engineering and cloud computing, organizations can build reliable data stacks from scratch, optimize large-scale ingestion of data and analytics and execute multiple data pipelines in parallel – without compromising on security and compliance. They can migrate their mission-critical databases, Online Transaction Processing (OLTP) systems, ETL and analytical applications to robust cloud warehouses. This will help organizations to handle enormous amount of unstructured data, easily capture data from edge devices, secure and manage multiple workloads and extract the maximum benefit from their data engineering investments.
The latest generation of autonomous, intelligent data engineering platforms and tools can enable organizations to democratize their data workflows, streamline the ETL process and cut down on the engineering efforts. Companies can enable barrier-free access to data, filter out inconsistent data, eliminate any incompatibilities and generate highly processed data outputs. This can help in making data available to everyone in the organization, regardless of their technical know-how. With democratization of data, business users across the organization can lead powerful analytical initiatives, drive self-service insights and reap the benefits of newly discovered data engineering capabilities.
Organizations have been turning the spotlight on data engineering services to interpret, comprehend and derive conclusions from complex databases. In 2022, modern technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet-of-Things (IoT) and superfast networks like 5G will converge with data engineering and analytical platforms to help organizations capitalize on their data and accelerate their digital transformation journey. For example, the amalgamation of AI and data engineering can help data-driven enterprises to automate much of their data insights gathering and decision-making processes. Businesses can apply this technology to build, operate and deploy autonomous pipelines at scale, create flexible data models and amplify the value of data. Thus, organizations can revolutionize their processes, glean useful insights from data and drive operational excellence and unprecedented revenue acceleration.
As it turns out, the benefits of data engineering platforms can be enjoyed by each and every organization. Through advanced data engineering services, organizations can collect, manage and convert data into useable forms and in turn, fuel business innovation and growth. Moreover, they can explore and automate data lineage, manage data throughout its lifecycle and re-architect their platforms to meet and exceed customers’ expectations. At Innover, our data engineering solutions help you define a go-forward strategy and seamlessly integrate data to obtain deeper, actionable insights. Our data engineering consulting services can also help you build risk-averse and resilient supply chains, dive into new pools of profit and pave a path to sustainable success. Get in touch to achieve your targeted outcomes.