Expert Panel: Modern Data Pipelines
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Tuesday, August 30, 2022
Time: 12:00 p.m. PT, 3:00 p.m. ET
At TDWI, we see data management and analytics continue to evolve as organizations seek to become more agile, gain deeper insights, and take action on increasing amounts of data. Modern data and analytics require scalability, flexibility, and the ability to handle diverse data types. Organizations are often utilizing modern data pipeline tools to move data to new environments (such as the cloud), keep that data fresh, and make it available for analytics.
The modern pipeline is a series of processes that retrieve data from batch and streaming sources and prepare it for delivery to data consumers such as data scientists, analysts, and machine-driven processes. These pipelines may include data ingestion, movement, cleansing, loading, replication, transformation, preparation, and enrichment services. Beyond this, they may help in deploying machine learning models into production. They often use the computational power of the cloud to perform their functions.
Join TDWI Research VP Fern Halper as she hosts an expert panel with leading vendors to discuss modern data pipelines. Topics will include:
- Trends requiring modern data pipelines
- Key components and capabilities of modern data pipelines
- How automation and augmentation is used in modern pipelines
- Using modern pipelines for advanced analytics
- Best practices for getting started
Sixth Sense Advisors Inc.
Mr. Krishnan is an expert in the strategy, architecture and implementation of high-performance data and analytics solutions. He is a recognized data thought leader, writing and speaking at industry leading conferences, user groups and trade publications. He is a certified Bill Inmon professional. In his 31 years of professional experience, he has been solving complex computing problems and focusing on solution architecture spanning all aspects of data journey including data lake, data warehousing, machine learning, advanced analytics and business intelligence for fortune 1000 clients. His ‘get it done’ approach has delivered data solutions across terabytes to multiple petabytes of data volumes and his specialty is performance tuning both new and existing data and analytics investments to realize greater than 95% performance gains.
Krish’s focus in the last three years has included Data Fabric, Data Mesh, Data Pipelines, Data Workflows and Analytics Delivery engines. A published author with five books including DAMA DMBOK 1.0, he is writing a new book on OKR and Data Journey Measurement.
Krish is a Faculty with TDWI. He is a Senior Principal Data and Analytics Strategy at Trissential Inc, Minneapolis, MN. Follow him on twitter @datagenius.
Kunal Agarwal is the Co-Founder and Chief Executive Officer of Unravel Data. Previously, he led sales and implementation of Oracle products at several Fortune 100 companies. Kunal also co-founded Yuuze.com, a pioneer in personalized shopping and what-to-wear recommendations. Earlier in his career, he helped Sun Microsystems evaluate big data infrastructure like Sun’s Grid Computing Engine. Kunal graduated from Duke University’s Fuqua School of Business with an MBA in Entrepreneurial Studies and from Valparaiso University with an undergraduate degree in Computer and Electrical Engineering.
Fern Halper, Ph.D.