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Modernize Your Data Architecture to Stay Competitive
If awareness around the competitive advantage of data is broad, the potential is there, and the technology is available, why haven’t more companies become “data-driven?”
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.
Modernize Your Data Architecture with a Governed Self-Service Data Platform
You need a solution to modernize your on-premises, cloud or hybrid environment and an expert partner to help you get a more modern data platform up and running fast.
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.
The Data Imperative
The key to remaining competitive in today’s environment is self-service data.
8 Key Considerations for Migrating your Data Lake to the Cloud
To help companies successfully transition to the cloud, following are some recommendations on how to address common challenges, and what you need to consider to inform your cloud strategy.
Modernize your Data Architecture with a Self-Service Data Lake in the Cloud
As the volume and type of big data continues to grow, the cloud makes financial sense and provides much-desired on-demand processing and storage scalability.
Cloud-Based Enterprise Data Lake Provides Shared Access Across Lines of Business
Architecting Data Lakes
Revised for 2018 - Data Management Architectures for Advanced Business Use Cases
Advance your analytics using the Zaloni Data Platform (ZDP) and AWS
In this eBook, learn how data catalogs can provide a data marketplace and safely enable data discovery across your enterprise with Zaloni and AWS.
Building a Governed Data Lake With Zaloni Data Platform for Azure
Cloud-Based Data Lake for a Next Generation Data Platform
Data Lakes – Build Your Future-Proof Technology Stack
When selecting your data lake technology stack, it is important to choose technologies that are scalable, extensible, modular and interoperable.
Next-Gen Data Lake: How to Make Cloud Work for You
So, You Want to Be a Tech Visionary? An Executive Guide to Data Lakes
You’ve heard it time and time again: cloud is the future; those who don’t adopt modern big data practices will fall behind the pack; the next wave of IT disruption is right around the corner. And...
On-Premise or in the Cloud, It’s All the Same for a Hybrid Data Lake
When it comes to big data, more and more enterprises are beginning to embrace the cloud for its flexibility. Many of these companies are adopting a hybrid approach to their big data lakes, looking...
Migrating On-Premises Data Lakes to Cloud
Learn how you can migrate your on-premises data lake to the cloud for cost reduction and without loss of service.
The Data Lake Reference Architecture
Data Lake Archiving: Hadoop or the Cloud?
The storage layer of the data lake is evolving. A few years ago, when we talked about the data lake, it was generally understood that Hadoop was the underlying platform for everything related to...
Save Money in the Cloud with Transient Clusters for Big Data