Speaker Bio

Ramke Ramakrishnan

Ramke Ramakrishnan

Sr Director Analyst
Ramke Ramakrishnan is a results-driven technology leader with broad-based experience in driving data management strategies and delivering excellence through research, innovation, advisory and agility for Technology Professionals. Mr. Ramakrishnan helps IT organization in modernizing their data platform and advice on the optimization, best practices and continuous improvements on the architecture, design and deployments of data lakes, data warehouse applications in relational, OLAP databases, data processing frameworks such as Hadoop, Kafka, Spark and specialized databases such as NoSQL and Graph database. He provides technical expertise in variety of data management principles such as data integration, orchestration, database management, data virtualization, metadata management, data security, data governance and advanced analytics using machine learning and artificial intelligence thereby enabling technology professionals in building "best in class" analytical applications and data-driven decisions, strategies for management and deployment.
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Wednesday, 14 September, 2022 / 04:05 PM - 04:35 PM JST
Technical Insights: Deploying Data and Analytics Architecture in AWS, Azure and GCP Cloud Platforms

Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.

Thursday, 15 September, 2022 / 12:55 PM - 01:25 PM JST
Technical Insights: Data Warehouse Automation — Applying Agile DevOps and DataOps Principles to Your Deployments

DevOps and DataOps are about improving efficiencies and gaining effectiveness in the overall development process that involves creating building blocks of a data warehousing system. It encompasses all the core processes, including planning, analysis, design, development, orchestrating, testing, deployment, management, operations, change management and documentation, required for data warehouse life cycle management. It leverages technology to automate the entire data management process, including data lakes, data warehouses, data vaults and data marts.

Thursday, 15 September, 2022 / 03:25 PM - 03:45 PM JST
Why is Analytical Governance Critical to Your Success?

Governance is one of the organization's most difficult challenges to drive business value through data and analytics programs. This session discusses the foundations for establishing effective governance. Also, understand the essential elements of delivering useful data and analytics governance, the benefits you can expect from this framework and how you should approach putting a framework into practice.

Friday, 16 September, 2022 / 03:15 PM - 03:45 PM JST
Technical Insights: Database Migration to the Cloud or Elsewhere — the Good, the Bad and the Ugly

Database migration remains a nontrivial thing to do. However, sometimes they are necessary in order to refresh your IT estate and gain additional benefits. The move to the cloud has triggered a wave of database migrations. Migration products are liable to overrun or fail and it is essential to take a best practice approach to ensure success. This session tells you how.

Join us to hear from Gartner experts and thought leaders.