Systems | Development | Analytics | API | Testing

Transforming Business Through The Power Of Data

Nov 17, 2022 By Snowflake In Snowflake
Srini Nachinarkiniar, Accenture's Global Snowflake Practice Lead, sees every business as a data business. In this interview with Data Cloud Now host Ryan Green, Trini expands on this philosophy and discusses its three core principles: That data provides a strategic core, the importance of building an intelligent data foundation, and finding the right talent to establish a data culture.
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Democratizing marketing data with BigQuery and Looker

Nov 17, 2022 By Google BigQuery In Google BigQuery
Welcome back to the marketing analytics series where we teach practitioners about Google Cloud marketing analytics solutions. In this video, Kelci shows how you can democratize marketing data with BigQuery and Looker. Watch to see how you can use Looker Blocks and Looker Action to help your company achieve a successful marketing mata strategy and share insights across your organization. Chapters.
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chaossearch

The 7 Costly and Complex Challenges of Big Data Analytics

Nov 17, 2022 By Thomas Hazel In ChaosSearch
re:Invent 2022 is just around the corner and we couldn’t be more excited to share the latest ChaosSearch innovations and capabilities with our current and future customers in the AWS ecosystem. Enterprise DevOps teams, SREs, and data engineers everywhere are struggling to navigate the growing costs and complexity of big data analytics, particularly when it comes to operational data.
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The future of data - Tom Edwards

Nov 17, 2022 By Talend In Talend
This episode features an interview with Tom Edwards, Chief Digital and Data Officer at Omnicom Health Group, the largest healthcare marketing and communications network in the world. Prior to Omnicom, Tom served as Chief Digital and Innovation Officer at Epsilon. Tom has been named one of the Top 50 Most Influential Business Leaders in Technology and a Top 10 Global Marketer Award winner by OnCon this year. On this episode, Tom talks about transparency in decision making, how to organize massive amounts of data in order to derive insights, and how to determine the ideal communication strategy for a target audience.
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Introducing Kong Gateway Operator

Nov 17, 2022 By Kong In Kong
In our next #KongBuilders #livestream on November 16, Viktor Gamov from Kong will deep dive into Kong Gateway Operator. Kong Gateway Operator is a next-generation deployment mechanism founded on the operator pattern that allows Kong Gateways to be provisioned in a dynamic and Kubernetes-native way, enabling automation of Kong cluster operations and management of the Gateway lifecycle.
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[Tech Talk] Advanced Service Mesh - Build and Manage Multi-Cloud Applications Using Kuma

Nov 17, 2022 By Kong In Kong
A service mesh helps to make service communication more secure, reliable and traceable in distributed system architectures. In connection with the topic of service mesh, we often think of terms such as microservices, containers or Kubernetes; i.e. terms from the orbit of modern design methods, architectural approaches or technologies. Of course, everything is usually cloud-based.
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systemsdigest

How Embedded Systems Impact Everyday Life

Nov 16, 2022 By SystemsDigest In SystemsDigest
Embedded systems are at the core of various products, machinery, and intelligent operations like machine learning and Artificial Intelligence (AI). Since embedded devices are used in almost every industry today, embedded systems play a crucial role in the functioning of devices and machines we use daily, from vehicles to home appliances and medical devices. To further understand this, here's how embedded systems impact everyday life.
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cloudera

Once Upon a Time in the Land of Data

Nov 16, 2022 By Sandra Horn In Cloudera

I recently had the privilege of attending the CDAO event in Boston hosted by Corinium. Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory.

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