Data Warehouse Optimization Recreation/Entertainment Risk 
Timo Elliott
MAY 27, 2022
I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.
Cloudera
NOVEMBER 12, 2020
Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. You are probably hesitant.
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AWS Big Data
DECEMBER 8, 2023
In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.
Timo Elliott
NOVEMBER 30, 2022
And it’s not just a technology vision — it’s also about how organizations have to rethink how they optimize business processes, business capabilities, and the business ecosystem. Business Process Optimization. To turn it into an asset, you actually have to do something with the data, to change something in the way you do business.
Cloudera
JANUARY 21, 2021
While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.
BizAcuity
APRIL 14, 2022
Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.
Cloudera
MAY 22, 2018
Most often, cloud ends up recreating the application silos of the past, only more so, because of the easy way anyone can upload a dataset and spin up a new application. This introduces complexity and risk, and increases cost substantially. delivers the modern platform for machine learning and analytics, optimized for the cloud.
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