Adam Herrington on LinkedIn: #aws #globalindex #etf #indexdata (2024)

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Scaling in today's tech landscape demands smart and cost-effective solutions. If you’re considering a full-stack observability platform, you might want to explore our blog with an in-depth comparison to #Coralogix.Our breakdown covers key industry features, pricing models, and support services. Understand which platform is the right fit for your data needs.

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Is your business feeling the pinch of rising #cloudcosts? This increase could reshape your IT budget and overall business strategy. Discover how Cornerstone Data Systems, inc can add value.

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Are #datavirtualization tools positioned to become the best #datacatalogs? Think about it. Data virtualization tools, like Promethium, Denodo, Starburst, ThinkData Works and Dremio can reach into any data source and capture both data and metadata. They not only know where all the data is and what it consists of, but they can also query it at scale and join it seamlessly. One hitch with data catalogs is that they weren't designed to provide direct access to data--but that's what users want most of all! A data virtualization tool turns a 2-step process into one seamless flow: find, evaluate, query, and analyze data... Now, that's self-service! We just need DV vendors to step up and embrace this area. Lisa Snyders Ravi Shankar Kaycee Lai Read Maloney Tomer Shiran Debra Peryea Justin Borgman Jess Iandiorio Lewis Wynne-Jones Luke Reimer Brendan Stennett

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25 Comments

I agree with the basic premise. Data Catalogs fail when users have to swivel in their seat to run a query, and they are equally troubled by the need to maintain them separate from the actual analytic life cycle. I would go one step further to say that you also don't need the processing overhead some of these systems below require. I think you can largely leave the data where it resides and process it in those systems. Then you can do everything you are suggesting in a meta-layer ... like Coginiti !

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Scaling in today's tech landscape demands smart and cost-effective solutions. If you’re considering a full-stack observability platform, you might want to explore our blog with an in-depth comparison to #Coralogix.Our breakdown covers key industry features, pricing models, and support services. Understand which platform is the right fit for your data needs.

Scaling in today's tech landscape demands smart and cost-effective solutions. If you’re considering a full-stack observability platform, you might want to explore our blog with an in-depth comparison to #Coralogix.Our breakdown covers key industry features, pricing models, and support services. Understand which platform is the right fit for your data needs.

Scaling in today's tech landscape demands smart and cost-effective solutions. If you’re considering a full-stack observability platform, you might want to explore our blog with an in-depth comparison to #Coralogix.Our breakdown covers key industry features, pricing models, and support services. Understand which platform is the right fit for your data needs.