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cloudera

When Private Cloud is the Right Fit for Public Sector Missions

Nov 1, 2022 By Tej Tenmattam In Cloudera

It’s no secret that IT modernization is a top priority for the US federal government. A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.

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hitachi vantara

Partnering with AWS on Amazon HealthLake to Speed Insights

Nov 1, 2022 By Kerry Sims In Hitachi Vantara

Gaps in patient healthcare, ranging from access and affordability, to those specific to race, gender, age and beyond, are widening across the US and leading to a variety of detrimental results for people, the healthcare system, and the economy itself. Such ongoing disparities are slowing the country’s ability to achieve population health and accounting for billions of dollars in unnecessary health care spending annually.

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Webinar Recording: Powering Modern Applications: Data Management for Speed and Scale

Nov 1, 2022 By Unravel In Unravel
Designed to be fast, scalable, flexible, and user-friendly, modern applications are at the center of the innovation and automation that is transforming companies, industries, and society today. At the same time, modern applications, increasingly built with microservices, also come with requirements that traditional data management approaches fall far short of effectively meeting.
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Webinar Recording: Accelerating Cloud Data Modernization

Nov 1, 2022 By Unravel In Unravel
As organizations seek to become more competitive, they are often looking to enrich their data sets for analytics to gain deeper insights. The data used for enrichment may include text data, machine data, image data, geospatial data, and real-time data. This data may be high volume, highly diverse, and disparate in nature. As part of this effort, organizations are moving to cloud data platforms to store and manage this modern data.
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Growing With The Data Cloud - Lightfold's Story Of Startup & Success Through The Pandemic

Nov 1, 2022 By Snowflake In Snowflake
Lightfold, a young analytics consultancy based in Brisbane, Australia, came into being in 2019, just before COVID hit, with the goal of helping companies gain mastery over their data by helping them build modern data stacks centered around Snowflake. In this episode of “Data Cloud Now,” Ryan Green, chats with three members of the Lightfold leadership team–CEO John Cosgrove, Data Evangelist Graeme Lewis, and Director, Design and Product, Kylie Willett–about their company’s origin story and about the way in which Snowflake’s technology has fundamentally changed the way organizations think about data.
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integrate

The Importance of Business and IT Alignment to Build Successful Data Pipelines

Oct 31, 2022 By Lyndsay Wise In Integrate
Okay, I’ll admit, I am pretty biased when it comes to how people within organizations work together to ensure successful data projects. I have been involved in too many projects that failed to take into account the importance of collaboration across departments and functions. They were stuck on data and only the data.
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Snowflake's Retail Data Cloud

Oct 29, 2022 By Snowflake In Snowflake
The retail and consumer packaged goods (CPG) industry is experiencing a global shift in how consumers, retailers, and brands interact. Long-term trends such as digitization and e-commerce, higher customer expectations, and supply chain transformation are accelerating. Businesses with a strong data foundation are rapidly adapting, and launching new digital capabilities and services.
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integrate

Data Science Maturity and Understanding Data Architecture/Warehousing

Oct 28, 2022 By Bill Inmon In Integrate
This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Data science is immature. This statement is not pejorative; it is simply a statement of historical fact. As such, it is not arguable.
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