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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics. He shared a story from a talk at a large consulting company in India, where he was asked who his competition was.

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Achieve the best price-performance in Amazon Redshift with elastic histograms for selectivity estimation

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. For more information, reach out to your AWS account team to request a free consultation or a demo of Amazon Redshift.

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

ZS is a management consulting and technology firm focused on transforming global healthcare. We use leading-edge analytics, data, and science to help clients make intelligent decisions. ZS is also an AWS Advanced Consulting Partner as well as an Amazon Redshift Service Delivery Partner.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. What’s the point of investing time and money on a strategy that lacks focus?

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Snowflake: A New Blueprint for the Modern Data Warehouse

CDW Research Hub

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. Snowflake’s cloud-built data warehouse enables the data-driven enterprise with instant elasticity, secure data sharing, and per-second pricing across multiple clouds.

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Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer

AWS Big Data

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

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Unleash Fast Data Insights With Snowflake and ThoughtSpot

CDW Research Hub

Snowflake, a data warehouse built specifically for the cloud, is one popular option. Snowflake helps eliminate many of the common issues data professionals face because it supports structured and semi-structured data, scales massive concurrency without limit, and boasts secure, live data sharing.