From accounting to HR, Cloudera's Stephanie Han opted for a career change to follow her passion in helping others grow. Now, she's played an instrumental role in enriching our culture. Meet Stephanie:
Cloudera
소프트웨어 개발
California Santa Clara 팔로워 257,704명
At Cloudera, we believe that data can make what is impossible today, possible tomorrow.
소개
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Learn more at Cloudera.com.
- 웹사이트
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https://www.cloudera.com
Cloudera 외부 링크
- 업계
- 소프트웨어 개발
- 회사 규모
- 직원 1,001 - 5,000명
- 본사
- California Santa Clara
- 유형
- 비상장기업
- 전문 분야
- Big Data, Cloud Computing, machine learning, cloud, Analytics, Artificial Intelligence, Databases, Open Source, Data Science, Open Source, data warehouse, Data Engineering, Hadoop, IoT, Data, Operational Database, Streaming, Edge to AI, AI, ML, Enterprise Data Cloud, Apache, cdp 및 hybrid cloud
위치
Cloudera 직원
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David Dichmann
Senior Director of Product Management Cloudera Data Warehouse, User Experience, SQL & Visual Tooling
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Suzy Tonini
👩🏽💻 Market Research & Competitive Intelligence | 🤹🏼♀️Program Manager | 🕵🏼♀️ WebFerret Sourcer | 🤖Chatbots Wrangler | 🧐Intrapreneur |…
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Sophie Papillon
Regional Vice President France
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Jean-Philippe Player
Field CTO at Cloudera
업데이트
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IT consultancy firm Allitix leverages Cloudera’s secure, open data lakehouse to help clients eliminate data silos and leverage connected planning. Learn how the partnership empowers organizations to scale advanced predictive models and data-driven solutions ⬇️ http://spr.ly/6048YdmkC #ClouderaPartners
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New updates to Cloudera's metadata management solutions boost interoperability within the data lakehouse, while optimizing security and governance across the entire data lifecycle. Discover the benefits of Cloudera's new Iceberg REST Catalog and more:
Cloudera Strengthens Metadata Management with Modernized Data Catalog and Iceberg REST Integration
cloudera.com
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Enterprises are benefitting from AI in more ways than one – including improved customer experiences and operational efficiency. Get the full picture on where IT leaders stand with enterprise AI today: http://spr.ly/6040YZVWM
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Cloudera CEO, Charles Sansbury, sat down with CNBC this morning to discuss the global race for AI, including the appetite from businesses to reap quick wins from enterprise AI deployment and the symbiotic relationship between trusted data and AI. Tune in here: http://spr.ly/6044YZqTn
Software firm discusses AI adoption and regulation
cnbc.com
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Did you miss the latest #ClouderaNOW? Don’t worry – we’ve got you covered. Gain access to all the latest Cloudera product updates, best practices, and more by tuning into ClouderaNOW on-demand: http://spr.ly/6042Y6RYQ
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Obsolete data warehouse ➡️ big data transformation Kutxabank needed an updated data strategy that could provide longer-term storage with greater capacity and enhanced data governance. Here's the full story: http://spr.ly/6045Y6usf
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Our new survey reveals that most organizations are worried about the security and compliance risks associated with AI. Luckily, Cloudera’s experts will be onsite at #EVOLVE24 Singapore to discuss best practices for keeping these threats at bay. Register today: http://spr.ly/6043cCTnF
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As organizations shift from digital to AI-native, data will continue to be the cornerstone of innovation. Register for our upcoming webinar to learn how your technological infrastructure can make or break the resilience of your data, analytics, and AI platforms: http://spr.ly/6046cFKRa
The Key to Building a Future-Proof Data, Analytics, and AI Platform
cloudera.com
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Enterprise AI’s potential continues to dominate industry discussion. But where do organizations stand? Our new survey uncovers the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. Check out the findings: http://spr.ly/6047cvDJh
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