Unlocking the Power of Data Catalogs with a Cloud Data Platform

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.

Financial Service Companies Tackle The Challenge of Moving Data To The Cloud

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.

Turning data into dollars - Philip O'Donnell

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.

Future of Data Meetup: Rapidly Build an AI-driven Expense Processing Micro-service with a No-code UI

Discover how you can quickly leverage the no-code NiFi UI to design flows for processing expense receipts with AWS Textract AI and run them in a serverless environment with Cloudera DataFlow Functions on AWS Lambda.

The Data Chief Live: 2023 data and analytics trends and predictions

The world of data and analytics is evolving faster than ever before. Those that stay ahead of this change will be able to navigate the challenging economy and dominate the decade of data. Data is driving tectonic shifts across our personal and professional lives, creating new opportunities for organizations - and new challenges. But which trends are truly transformative and which will fail to live up to the hype?

Are You Ready for the Data Quality Assessment?

The quality of your data determines how well it supports your business goals within a given context, be it in operations, planning, or decision-making. Low-quality data cannot effectively serve your purpose. Usually, decision-makers rely on data to support their decisions; however, much evidence suggests that poor or uncertain data quality can contribute to ineffective decision-making in practice.

OCBC Bank Accelerates Its Data Strategy with Cloudera

OCBC Bank is the second largest financial services group in Southeast Asia by assets and one of the most highly-rated banks in the world. Recognised for its financial strength and stability, OCBC Bank is consistently ranked among the World’s Top 50 Safest Banks by Global Finance.

Orca Security Monitors Multiple Risk Factors Simultaneously

In this episode of “Powered by Snowflake,” Avi Shua, CEO and Co-founder of Orca Security discusses the differentiators that set his company’s platform apart from other cloud security offerings, differentiators that include its use of a unified data model and its patent-pending side scanning technology. The result is a holistic cloud security platform capable of monitoring all risk factors, such as vulnerabilities and misconfiguration and identity issues, and analyzing them in relation to one another to better prioritize potential threats and attack paths. It’s a platform that takes full advantage of Snowflake’s processing and data sharing power.