Simplifying Cloud Data Lakehouse Integration to Reduce Latency and Enable Real-Time Reporting
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Thursday, June 8, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
TDWI research shows strong interest in moving away from data silos and using a cloud data lakehouse to bring together the strengths of a data warehouse and data lake into a unified platform. A data lakehouse can improve cost-efficiency, flexibility, and scale. However, to get the most out of a unified data platform, organizations also need to modernize data integration. This involves data pipelines for getting data into the lakehouse and connectivity out to users and analytics applications. Delays on either end turn into business problems when decision makers cannot get current, accurate, and complete data.
Real-time reporting and analytics based on real-time connectivity can be a competitive advantage. One major challenge is that organizations have too many tools and legacy solutions that do not fit together and cannot be managed holistically. Establishing universal data connectivity is a growing trend for overcoming chaos and delays so that real-time reporting and analytics can become a reality.
Join this TDWI webinar to learn how you can apply modern practices and technologies to solve data integration challenges and maximize the value of your cloud data lakehouse. We will examine how to improve and coordinate pipelines for getting data into the data lakehouse and data connectivity to increase speed and ease of use in getting data out for real-time reporting and analytics.
Topics we will discuss include:
- TDWI perspectives on data lakehouse adoption and modernizing data integration and connectivity
- Strategies for optimizing data’s path into the data lakehouse as well as out for real-time or live data reporting and analytics
- How to reduce delays in analyzing data and deriving faster business insights
- Applying holistic strategies and universal access technology to efficiently integrate access to more data sources and ease availability for BI reporting and analytics
- Automating data pipeline workloads and centralizing data connectivity management
Lead Product Specialist
Franco Patano is a seasoned lead product specialist at Databricks, where he has held various roles in technical leadership and contributed to the development of innovative products and features. With over 15 years of industry experience in data engineering and analytics, Franco has worked across multiple industries including commercial real estate, banking, and education. He is well-versed in SQL, Python, Scala, Java, and Apache Spark and has been instrumental in driving projects involving data architectures, business intelligence applications, and ETL processes.
Chief Product Officer
Manish is a dynamic, technical, results-driven, and customer-focused product management executive with over 15 years of experience successfully growing packaged software and cloud-based offerings at Ipreo, Valassis Digital, and Tier1. He has successfully led the direction of the overall product strategy and was a highly valued member of the executive teams, directly responsible for developing and driving the product road maps, building out and mentoring teams of up to 100 team members (UX, Product, Engineering, QA & Release Management). Manish has a proven and consistent track record of developing winning solutions and products that have resulted in propelling the business forward.