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Most Recent Articles
From Source to Value: Why Automation is Driving Data Catalog Success
An automated data catalog provides the workflow to take your data from source to value without manual intervention. View this webinar to learn the benefits your team can reap by adopting automation.
More Data, Less Work. It's not a dream, it's a complete data catalog
Matthew Monahan, Zaloni’s Sr. Product Manager, will take you through cutting-edge data management techniques and show how to leverage a single platform to manage the complete end-to-end data pipeline.
How to Build Customer Golden Records that Increase Customer Lifetime Value
Without accurate and reliable customer data, companies may face higher spending along with acquisition and reacquisition costs. Learn how Chalhoub created their own holistic view of customer data.
Achieving Big Business Value from Big Data Initiatives
When you’re trying to implement an enterprise-wide data hub, it’s often necessary to show value early and often but how can that be easily done when there are multiple stakeholders?
What's your Big Data Vision?
With the amount of data being created and collected by organizations, it’s imperative that senior executives have a solid vision of where they want to go, and how they’ll get there.
Evolving your Passive Data Catalog into an Active Data Hub
Empowering the business: that’s where an “active data hub” differentiates from a “passive data catalog”.
A Modern Digital Data Architecture: Best Practices for Adoption
Join experts from DXC Technology and Zaloni as they present solution designs and use cases for simplifying and accelerating adoption of a modern, digital data architecture.
Empower your Enterprise with a Self-Service Data Marketplace
A modern data platform should provide a self-service data marketplace that provides right-sized governed access to data. Watch this webinar to learn what is required to make a data marketplace succeed
The Top 3 Considerations for Modernizing Your Data Platform
How does your organization collaborate with data? Aligning data management tasks across any company can be a challenge. However, with an integrated data platform, organizations can reap the benefits.
How to Achieve a 360° View of Your Data
A majority of the data collected by organizations today is wasted. So how can they start utilizing their data for powerful results? Learn about real-world examples using Customer-360 initiatives.
A Governed Self-Service Data Platform Accelerates Insights
Learn how to create flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services.
So You've Got a Data Catalog...Now What?
Learn how organizations are looking to build actionable data catalogs that allow self-service access to data without sacrificing data governance and security policies in this webinar by Scott Gidley.
Choosing the Optimal Processing Framework for an AWS Data Lake
As more organizations make the shift to cloud, they’re finding the number of data processing options are staggering. Should they choose Spark over Presto? Join Raj Rana as he answers this and more!
Turnkey Data Lake: The Fast Path to Business Insights
Data lake implementations can get out of scope and out of control quickly. Learn the benefits that a turnkey data lake solution can provide.
How to Architect a Successful Data Lake
Raj Nadipalli discusses what it takes to make data your most valuable asset.
Prepare and Protect GDPR Data using Elastic Stack
Join Sabby Gupta as he leads the discussion around utilizing Elastic Stack to prepare, protect, and enforce privacy within GDPR data.
Next-Level Data Lake Management with the Zaloni Data Platform
The Zaloni Data Platform (ZDP) has just released its latest version, 5.0, which provides exciting new features to address the growing demands of data-driven companies.
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