Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-Cloud Modern Distributed Data Warehouses with Azure and AWS (Paperback)

Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-Cloud Modern Distributed Data Warehouses with Azure and AWS By Anjani Kumar, Abhishek Mishra, Sanjeev Kumar Cover Image
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About the Author


Anjani Kumar is the Managing Director and Founder of MultiCloud4u, a rapidly growing startup that helps clients and partners seamlessly implement data-driven solutions for their digital businesses. With a background in computer science, Anjani began his career researching and developing multi-lingual systems that were powered by distributed processing and data synchronization across remote regions of India. He later collaborated with companies such as Mahindra Satyam, Microsoft, RBS, and Sapient to create data warehouses and other data-based systems that could handle high-volume data processing and transformation.Abhishek Mishra is a Cloud Architect at a leading organization and has more than a decade and a half of experience building and architecting software solutions for large and complex enterprises across the globe. He has deep expertise in enabling digital transformations for his customers using the cloud and artificial intelligence. Sanjeev Kumar heads up a global data and analytics practice at the leading and oldest multinational shoe company with headquarters in Switzerland. He has 19+ years of experience working for organizations modeling modern data solutions in multiple industries. He has consulted with some of the top multinational firms and enabled digital transformation for large enterprises using modern data warehouses in the cloud. He is an expert in multiple fields of modern data management and execution including data strategy, automation, data governance, architecture, metadata, modeling, business intelligence, data management, and analytics.


Product Details
ISBN: 9798868800283
Publisher: Apress
Publication Date: December 28th, 2023
Pages: 368
Language: English