Product Engineering Services Customized software development services for diverse domains
Sustenance Engineering Going beyond maintenance to prolong life of mature products
Managed Services Achieve scalability, operational efficiency and business continuity
Technology Consulting & Architecture Leverage the extensive knowledge of our Domain Experts
We are in the age of the Internet of Everything. Every day, hundreds of millions of terabytes of data are produced. This large amount of raw (structured or unstructured) data across all domains can help answer business-relevant questions.
Let us understand the role of Data engineering in this context. Data engineering allows data consumers, such as Data Analysts, Business Analysts, Data Scientists, or executives, to inspect the available data securely. Therefore, it revolves around building systems that collect, manage, and convert raw data from multiple sources and formats into usable information. In the present business scenario, various domains such as IOT, Retail, Telecom, Finance, Social media, Marketing, etc., use AI-driven data engineering.
Consider a use-case around retail where a brand collects various data points of its customers, like
All these data sets are independent. Data engineering can help get a comprehensive view of customers. As a result, this enables unification and pre/post-processing of these data sets. It helps to find relevant answers to questions such as, “What kind of orders are in, and what region requires high customer support?”.
A saying that has been doing the rounds for quite some time now is “Data is the new oil”. In this regard, let us look at some of the critical components of data engineering that are in demand in the current business scenario:
Data Collection: Gathering data from multiple sources and formats
Data Storage: Enabling significant data storage mechanisms for structured and unstructured data in data warehouses or data lakes
Data Processing: Using ETL (Extract, Transform, Load) processes to clean, transform, and load data into storage systems
Data Management: This deals with Access Control, Security
Data Pipeline: Ensures all above processes are integrated to have smooth data flows from source to destination
Data Collection
Data Storage
Data Processing
Data Management
Data Pipeline
HSC has strong expertise across core aspects of data engineering and has developed multiple solutions (in the areas of telecom, IOT, retail & e-commerce, multimedia). Here are some of the ways we have implemented data engineering for our global clients:
AI-driven data engineering is revolutionizing how data is processed, analyzed, and utilized by automating tasks, applying advanced analytics to the data, and subsequently improving the data quality. In a way, it is transforming the way organizations manage and utilize their humongous data. By subsequently integrating AI into data engineering, organizations can drive innovation at an industrial scale, derive actionable insights from the data, and gain a competitive edge in this data-driven landscape.
