unravel

Unravel CI/CD Integration for Databricks

Oct 18, 2023 By Clinton Ford In Unravel
CI/CD, a software development strategy, combines the methodologies of Continuous Integration and Continuous Delivery/Continuous Deployment to safely and reliably deliver new versions of code in iterative short cycles. This practice bridges the gap between developers and operations team by streamlining the building, testing, and deployment of the code by automating the series of steps involved in this otherwise complex process.
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integrate

How to Optimize Your SFTP Data Integration Process

Oct 17, 2023 By Donal Tobin In Integrate
In today's data-driven world, the seamless exchange of information is the lifeblood of modern enterprises. Whether you're a small startup or a global corporation, the ability to securely and efficiently transfer data between systems and partners is essential for success. This is where Secure File Transfer Protocol (SFTP) emerges as a crucial player, providing a robust framework for data integration that safeguards sensitive information while ensuring its swift and reliable passage from point A to point B.
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SaaS in 60 - Customer Managed Keys - Phase 2

Oct 17, 2023 By Qlik In Qlik
This week we have released the next phase of our Customer Managed Keys security offering. Last year, we gave customers complete control over data encryption in their Qlik Cloud Tenant by leveraging their own encryption keys provided by the AWS Key Management Service. In Phase 2 you can now convert an existing in-use Qlik Cloud Tenant, from Qlik’s Internal KMS to AWS KMS and back if needed. You can also convert a tenant from one AWS KMS Key to another AWS KMS Key to support key rotation, or effectively, a complete re-encryption.
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integrate

The Value of an Enterprise Data Warehouse

Oct 16, 2023 By Mark Smallcombe In Integrate
Enterprise Data Warehouses (EDW) have emerged as a pivotal component for businesses striving to harness the power of data analytics and business intelligence. As technology advances, the complexity and volume of data sets have surged, accentuating the role of an EDW. This guide offers a deep dive into the intricacies of the Enterprise Data Warehouse, its significance, functionality, and the considerations for its implementation.
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Unleash cloud-native analytics and AI on-premises with Cloudera

Oct 16, 2023 By Cloudera In Cloudera
Unlock the power of your on-premises data with Cloudera for private cloud. Harness cloud-native agility, flexibility, and cost efficiency within your private open data lakehouse for unparalleled access and control over your data. Build a foundation of secure, accurate, and trusted data for precise business insights and of course, trusted AI. Unleash the full potential of your data with Cloudera's Private Cloud Data Services.
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cloudera

Getting Started With Cloudera Open Data Lakehouse on Private Cloud

Oct 16, 2023 By Bill Zhang In Cloudera

Cloudera recently released a fully featured Open Data Lakehouse, powered by Apache Iceberg in the private cloud, in addition to what’s already been available for the Open Data Lakehouse in the public cloud since last year. This release signified Cloudera’s vision of Iceberg everywhere. Customers can deploy Open Data Lakehouse wherever the data resides—any public cloud, private cloud, or hybrid cloud, and port workloads seamlessly across deployments.

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yellowfin

How to Build Multi-Tenant Environments with Yellowfin BI

Oct 16, 2023 By Yellowfin Team In Yellowfin
Multi-tenancy is almost a prerequisite to provide a secure environment for each of your customers when using business intelligence (BI) tools embedded in external services. Although it is possible to control the access rights by granting individual access to user accounts without separating tenants, it is obvious that the management will become more complicated as the number of customers grows. In a previous blog, we covered what multi-tenancy means in the context of embedded analytics.
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unravel

How Unravel Enhances Airflow

Oct 16, 2023 By Bowrna Prabhakaran In Unravel
In today’s data-driven world, there is a huge amount of data flowing into the business. Engineers spend a large part of their time in building pipelines—to collect the data from different sources, process it, and transform it to useful datasets that can be sent to business intelligence applications or machine learning models. Tools like Airflow are used to orchestrate complex data pipelines by programmatically authoring, scheduling, and monitoring the workflow pipelines.
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