Words Manish Kumar
NEW DELHI (India CSR): The transition to cloud-based analytics solutions has proven to be a crucial step forward as businesses struggle with the challenges posed by exponential data growth. Cloud computing has emerged as a transformative force in the ever-evolving landscape of modern business, reconfiguring how organizations approach data analytics and decision-making. This new era of analytics is not just a technological upgrade but a fundamental shift in how organizations extract value from data to gain competitive advantages.
The proliferation of data, driven by digitalization and interconnected systems, has created an environment where traditional data storage and processing systems struggle to keep pace. Cloud-based analytics platforms have addressed this challenge by offering scalable, efficient, and cost-effective solutions. Ankit Srivastava, an expert in the field with notable achievements in data engineering and cloud-based analytics, emphasizes that “what was once a luxury for businesses is now a mission-critical necessity.” His work exemplifies how businesses can navigate this new frontier.
Ankit’s professional journey includes impactful projects such as cloud migration initiatives leveraging platforms like AWS and Snowflake. These migrations not only centralized operational and external data sources but also laid the foundation for modern cloud data Lake. These Data Lake seamlessly support legacy transformations while introducing advanced functionalities for data-driven decision-making
One of the key challenges Ankit overcame was selecting the right ETL (Extract, Transform, Load) tools for cloud migration and identifying optimal storage solutions for Snowflake. His meticulous approach ensured the secure, efficient flow of data across organizations. Ankit’s expertise was further demonstrated through his ability to design infrastructure that integrates operational and analytical data in real time, enabling businesses to derive actionable insights.
The role of professionals like data engineers and ETL developers has grown exponentially in this landscape. Ankit highlights that their understanding of cloud computing principles, data storage solutions, and data processing frameworks is crucial for organizations aiming to stay ahead of the curve. His published works, such as those in ISJEM and IJSREM, explore these principles in depth, providing a roadmap for professionals venturing into the field of data engineering and integration.
From a strategic perspective, cloud-based analytics has become indispensable for anticipating future trends, forecasting risks, and gaining operational clarity. Businesses are no longer bound by the limitations of on-premises infrastructure. Instead, they can access vast amounts of data stored and processed in the cloud, using advanced analytics tools to uncover valuable insights. This transition is reshaping industries, making data-driven decision-making not only possible but also imperative.
Access to data and insight has become so easy that it has completely changed the way business is done globally,” concludes Ankit Srivastava. “Cloud solutions are not just tools for the present but the foundation for a more informed, agile, and resilient future.
The pace at which the technology in cloud computing is advancing promises to be an ever-growing drive for innovation. According to Ankit, in the future, businesses will rely on scalability, flexibility, and support for real-time analytics by cloud-based platforms. Those organizations that quickly adopt such solutions will emerge more capable of responding effectively to dynamic market conditions and sustaining a competitive advantage for continuous growth.
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Manish Kumar is a news editor at India CSR.
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