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Data replication holds the key to hybrid cloud effectiveness

CIO

At the heart of every business decision, regardless of industry or sector, is data. A hybrid cloud approach offers a huge swath of benefits for organizations, from a boost in agility and resiliency to eliminating data siloes and optimizing workloads. There’s more to data than just adopting hybrid cloud.

Cloud 232
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Mainframe data: hybrid cloud object store vs. tape

CIO

But while mainframes have advanced, most organizations are still storing their mainframe data in tape or virtual tape libraries (VTL). Stakeholders need mainframe data to be safe, secure, and accessible — and storing data in these archaic environments accomplishes none of these goals.

Cloud 327
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

Data volumes continue to grow exponentially, and there’s no end in sight. IDC predicts that the amount of commercial data in storage will be 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 ZB by 2026.

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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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Travelex leverages cloud-based customer data platform to boost retention

CIO

Acknowledging the potential this trend offers for a foreign exchange company like Travelex, Hans van der Waal, the company’s global IT director, is constantly looking for more strategic ways to unlock the power of data to service their travel card customers. But to make the most of cloud, the right skills are needed.

Cloud 130
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CIOs rethink all-in cloud strategies

CIO

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper.

Strategy 360
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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?

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way.