About the Author
Scott Gidley is Vice President of Product Management for Zaloni, where he is responsible for the strategy and roadmap of existing and future products within the Zaloni portfolio. Scott is a nearly 20 year veteran of the data management software and services market. Prior to joining Zaloni, Scott served as senior director of product management at SAS and was previously CTO and cofounder of DataFlux Corporation.More Content by Scott Gidley
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Most Recent Articles
How to Use Microservices to Build a Data Lake on AWS
Join Sabby Gupta as he discusses how a microservices architecture can be used to successfully build a cloud-based data lake on AWS.
Building a Governed Data Lake in the Cloud
Raj Nadipalli dives into cloud-based data lake use cases utilizing, cloud-based data lake architectures utilizing AWS, Azure, and more.
Architecting the Cloud: What's Possible Now
All roads lead to cloud: (almost) everyone knows that now. Check out this episode of Inside Analysis to hear host Eric Kavanagh interview several experts, including Parth Patel from Zaloni.
Agile Data Mastering in the Data Lake
As new data sources continue to emerge, companies need to create master records to achieve a single version of truth. Learn how the ZDP Data Master Extension helps organizations build "golden" records
Future-Proof your Data Lake with the Proper Architecture
As more companies delve into the world of big data, they’re seeing that it’s not wise to dump data into a data lake without proper guards in place. Learn how to future-proof your lake in this webinar.
Sink or Swim? Architecting the data lake to drive, survive and thrive amid digital disruption.
Matt Aslett, Research Director of Data Platform & Analytics at 451 Research and Kelly Schupp, VP of Data-driven Marketing at Zaloni, will discuss ideal data lake use cases such as Customer360 and IoT.
Adopting an Enterprise-Wide Shared Data Lake to Accelerate Business Insights
Today's enterprises need broader access to data for a wider array of use cases to derive more value from data and get to business insights faster. Learn how you can too through our latest webinar.
Technical Deep Dive: GDPR Compliance via a Governed Data Lake
If you are concerned about your GDPR compliance initiative, or just interested in verifying your current path, then this is a must-attend webinar.
GDPR Compliance: Data Management Practices for Success
GDPR takes full effect in less than a year, at which point substantial penalties can be incurred for companies whose data does not comply. What do you need to do to insure that you are ready?
Governed & Self-Service Data: Better Together
Data lakes done right can enable you to view your entire data catalog at a moment’s notice and apply self-service transformations to that data but how can do you govern it?
Developing a Strategy for Data Lake Governance
During this fireside chat, Tony Baer and Scott Gidley, VP of Product Management at Zaloni assess the state of the industry regarding governance, data management tools, and data lake strategy.
The Four Zones of Data Lake Architecture
Data lakes make more sense when you think about the architecture in zones. Join Ben Sharma as he uses illustrations of a reference architecture to describe the concept.
Building a Modern Data Architecture
Ben Sharma shares real-world lessons and best practices to help you build a data architecture that will serve you now and scale for the future.
Data Lakes for New Telecommunications Products and Data Monetization
Leveraging massive amounts of data for new telecom data products can be a technical and architectural challenge. du is addressing these challenges with a game-changing modern data lake architecture.
Targeted Health Informatics with Managed Data Lakes
Healthcare organizations need to have a Big Data solution in place that provides actionable intelligence to those who need it, when they need it.
Everyone is a Stakeholder in a Data-Driven Enterprise
Managing Big Data in the Bedrock Data Lake Management Platform
Data Warehouse Augmentation: Cut Costs, Increase Power
Techniques to Establish your Data Lake: How to Achieve Data Quality and Security
Data Lake 360: Extending Storage and Lifecycle of Data