Backup Compliance Data Engineering Security 
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We then discuss how building on a secure foundation is essential for generative AI.
Cloudera
JANUARY 27, 2021
We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. Achieving SOC 2 is one of the first milestones on our aggressive security and compliance roadmap.
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Datavail
JUNE 20, 2023
Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. The top factors leading to respondents choosing proprietary databases included greater stability (68%), more security (63%), and regulatory compliance (61%).
Cloudera
DECEMBER 10, 2020
These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats. Security is always on.
Existek
JANUARY 11, 2022
The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Data and analytics. Security and governance. Also, they spend billions of dollars on extending existing data centers and building new ones across the globe.
Altexsoft
JANUARY 14, 2021
Offered security measures. From keeping a data warehouse compliant with the required data protection regulations to providing advanced user access management, a vendor you choose must take up all the needed measures to protect sensitive data. Support for data backup and recovery. Data backup and recovery.
Cloudera
OCTOBER 25, 2022
“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Security function isolation. Cloud platform hardening.
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