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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

Moreover, as emerging technologies like generative AI proliferate across Federal use cases, the need for trusted data that is secure, governed and ready for AI has never been more acute. Purpose Built for Security Here at Cloudera, we focus on ensuring that our platform meets the highest standards of security and regulatory compliance.

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Complete Guide to Data Ingestion: Types, Process, and Best Practices

Databand.ai

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database.

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Complying with Quebec’s Data Privacy Laws Is Easier with the Data Cloud

Snowflake

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. The European Union’s General Data Protection Regulation (GDPR) , one of the more well-known and far-reaching of these privacy regulations, went into effect on May 25, 2018. 1, Section 3.2,

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

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Data Consistency vs Data Integrity: Similarities and Differences

Databand.ai

It plays a critical role in ensuring that users of the data can trust the information they are accessing. There are several ways to ensure data consistency, including implementing data validation rules, using data standardization techniques, and employing data synchronization processes.

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DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. Afterall, retrofitting good governance is a momentous task.