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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. In addition to AKS and the load balancers mentioned above, this includes VNET, Data Lake Storage, PostgreSQL Azure database, and more.

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PostgreSQL on Amazon RDS to SQL Server: 2 Easy Ways to Integrate Data

Hevo

There are several reasons why data replication from PostgreSQL on Amazon RDS to SQL Server may become necessary. These reasons include changes in business processes, increased data volumes, and enhanced performance requirements.

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Data News — Week 23.24

Christophe Blefari

— Marie wrote best practices for establishing complete and reliable data documentation. The first advice is about the documentation readers: data team, business users or other stakeholders. Privitar will bring "data security" stuff. The post explains well the architecture you need to make it work.

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Business Intelligence Beyond The Dashboard With ClicData

Data Engineering Podcast

How do you handle questions of data security/privacy/regulations given that you are storing the information on behalf of the business? In your work with clients what are some of the challenges that businesses are facing when attempting to answer questions and gain insights from their data in a repeatable fashion?

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Use SurrealDB to Persist Data with Rocket REST API

Workfall

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. What is Jamstack?

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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

HPL/SQL language is compatible to a large extent with Oracle PL/SQL, ANSI/ISO SQL/PSM (IBM DB2, MySQL, Teradata i.e), Teradata BTEQ, PostgreSQL PL/pgSQL (Netezza), Transact-SQL (Microsoft SQL Server and Sybase) that allows you to leverage existing SQL skills and use a familiar approach to implementing data warehouse solutions.

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. It gives an anwser to what do we have , where is the data (its address) how many objects do we have ? It looks nice but it is really not !