Published January 25, 2023

Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

What's Inside?

As more data becomes available through digital transformation, new data sources, and data marketplaces, companies in almost every industry will likely see major growth in data volumes over the next few years.

In order to scale, many companies are being encouraged to move their data to the cloud and exploit a multitude of cloud-based tools to engineer data. However, the cost of data engineering on the cloud has become difficult to quantify. More data, data engineers, ETL pipelines and pipeline dependencies, and siloed data engineering initiatives that use multiple tools with different standards make pricing structures extraordinarily complex. As a result, costs are becoming out of control.

Download the Intelligent Business Strategies’ White Paper of how the Ocient Hyperscale Data Warehouse (OHDW) seeks to address these issues. You will uncover how Ocient can:

• Simplify and scale data engineering at lower cost
• Integrate analytical workloads
• Accelerate query processing of very large data volumes

The democratization of data engineering is already underway. Read the paper to discover how several vertical industries such as Telecommunications, AdTech, and Government can leverage data at scale for competitive advantage using Ocient.

About the Author

Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an independent IT industry analyst and consultant, he specializes in BI/analytics and data management. With over 40 years of IT experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, data architecture, data governance, technology selection, and enterprise architecture. Mike is also conference chairman of Big Data LDN, the fastest growing data and analytics conference in Europe. He has spoken at events all over the world and written numerous articles. Formerly he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS, and European Managing Director of Database Associates. He teaches popular master classes in Data Warehouse Modernization, Big Data Architecture & Technology for Analytics, Centralized Data Governance, of a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh, Machine Learning and Advanced Analytics, Embedded Analytics, Intelligent Apps & AI Automation, and Data Virtualization.

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