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Best Practices for Managing Hybrid Cloud Data Governance

Information Week

AI-powered tools and data fabric solutions are among the resources IT leaders can tap develop more holistic hybrid-cloud data governance strategies.

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Buyer’s guide: Data protection for hybrid clouds

Network World

Data protection is a broad category that includes data security but also encompasses backup and disaster recovery, safe data storage, business continuity and resilience, and compliance with data privacy regulations. Download our editors’ PDF hybrid cloud data protection buyer’s guide today!]

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Are Public Clouds More Sustainable Than Private Data Centers?

Information Week

While public cloud data centers are often viewed as more sustainable than private ones, exceptions do exist. Read on to understand these nuances and learn how to tailor your approach for optimal sustainability.

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More than one-third of cloud environments are critically exposed, says Tenable

Network World

In the first half of this year, 38% of organizations had at least one cloud workload that was critically vulnerable, highly privileged, and publicly exposed, according to a study of telemetry from customers of cloud security vendor Tenable released this week. The cloud is a tool like any other; how you use it is what matters,” he said.

Cloud 505
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2024 Salary Guide

With detailed pay rate data for top IT positions like Cybersecurity Consultants, Cloud Engineers, and Salesforce Developers, this guide is an essential resource for companies looking to stay competitive in today’s evolving workforce landscape.

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Enterprise spending on cloud services keeps accelerating

Network World

The cloud market continues to grow at an accelerated rate, defying the economic pressures that are stifling the rest of the industry. Spending on cloud services is in turn driving massive investment in equipment , which is good for the IT vendors because the on-premises data center market is largely flat.

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Juniper adds AI cloud services to its Apstra data center software

Network World

Juniper Networks continues to fill out its core AI AI-Native Networking Platform, this time with a focus on its Apstra data center software. New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the data center, released along with the new 5.0

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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Ultimate Guide to the Cloud Data Lake Engine

Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Is your data secure? In which format?