Systems | Development | Analytics | API | Testing

Turning data into dollars - Philip O'Donnell

Dec 15, 2022 By Talend In Talend
This episode features an interview with Philip O’Donnell, Group SVP of Data Platforms at the Adecco Group, the world’s leading talent advisory and solutions company. Philip has 13 years of experience in data analytics leadership and strategy consulting across a variety of industries. Prior to the Adecco Group, Philip served as Director of Data Science at Lee Hecht Harrison. On this episode, Philip discusses managing data at a big enterprise, how to prevent business decisions based on bad data, and turning data into dollars.
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Financial Service Companies Tackle The Challenge of Moving Data To The Cloud

Dec 15, 2022 By Snowflake In Snowflake
As financial service companies look to pull siloed data off legacy systems and move it to the cloud, more and more are turning to Snowflake to help them tackle that challenge. So says Adam Hirsh, Managing Director at EY, a financial services consulting company, in this wide-ranging interview with “Data Cloud Now” host Ryan Green. The conversation includes a discussion of the benefits financial service firms hope to realize by harmonizing their data across their organization as well as a discussion about the various challenges facing the industry, including increasingly complex regulations, the rise of ESG considerations, and the need to address security and data governance concerns.
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chaossearch

Unlocking the Power of Data Catalogs with a Cloud Data Platform

Dec 15, 2022 By Sandro Lima In ChaosSearch
If you use a data lake, chances are you need a way to keep your data searchable for business users. When combined with the analytics capabilities of a cloud data platform, a data catalog can solve some of the common pain points around “data swamps,” where users fail to gain any meaningful insights from their data. Some of a business’s most valuable assets lie within its data.
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BigQuery: Configuring and scheduling queries

Dec 15, 2022 By Google BigQuery In Google BigQuery
Are you having trouble creating and running scheduled jobs in BigQuery, and would like to implement it in your production and development pipelines? Check out this video where we will be discussing BigQuery's scheduled queries feature, and the IAM permissions needed to create and configure them. We will show you how to configure and schedule queries and the configuration options available. Watch this video to learn some important caveats and how to overcome them while using scheduled queries in BigQuery.
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cloudera

Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Dec 15, 2022 By Bill Zhang In Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet, have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.

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The Data Cloud For Seamless Access, Collaboration & Data Sharing

Dec 15, 2022 By Snowflake In Snowflake
Flexibility, simplicity, and sharing are the key benefits organizations realize when they move their data to the cloud. In this episode of “Data Cloud Now,” Gautam Srinivasan, Snowflake India Correspondent chats with Clarke Patterson, Senior Director for Market Intelligence at Snowflake, about those benefits, and how Snowflake makes it all possible.
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integrate

Is Data Integration a Critical Element in Data Analytics?

Dec 14, 2022 By Hannon Brett In Integrate
The five reasons why data integration is a critical element for data analytics are: According to research by IDC and Tableau, 83 percent of CEOs say that they want their company to be “more data-driven.” The study finds that data-driven organizations have observed many positive impacts, from faster time to market to more new customers. Of course, becoming a truly data-driven company is easier said than done—and data analytics is the way to do it.
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