Data Analytics and Business Intelligence Solutions Review’s Post

The #CDMC Key Controls Framework was published primarily for cloud service providers and technology providers. The framework describes 14 key controls that providers can implement to let their customers effectively manage and govern sensitive data in the cloud. https://lnkd.in/dqAywAkY

Discover the latest insights on Cloud Data Integration Strategies in this comprehensive guide for Modern CTOs. Dive deep into key considerations and best practices. https://buff.ly/4bYWKO3 @TheCTO_Club

The cloud's on-demand nature demands a data management approach that reflects that agility. Traditional methods can be unmanageable, but serverless data pipelines can help. These pipelines scale effortlessly, eliminate infrastructure headaches, and free your team to focus on what matters- extracting insights. Click on this link to head over to our blog and learn more about 'Serverless Data Pipelines: Yay or Nay?' https://lnkd.in/gYqdTv_m #Wissen #Cloud #DataManagement #CloudData #Serverless #DataPipelines

Dive into the World of Data Warehouses: Traditional vs Modern. Curious about the best fit for your data needs? Our comprehensive comparison breaks down the pros and cons, helping you navigate the landscape with confidence. #DataWarehouses #TechComparison #DataManagement #Cloud

Databricks or Snowflake (or both)? The differences between these platforms can affect the way your data is processed, analyzed, reported, and more. Here's our guide to Snowflake and Databricks and how to pick the right one. https://bit.ly/48TXROt #DataCloudPlatforms #Cloud

In this blog, we cover why hashtag #Snowflake Data Cloud is the right choice for enterprises that seek hashtag #datamodernization. Learn about its core components, hashtag #datastorage, and guidance on how to migrate from legacy hashtag #datawarehouses. Read Now https://ow.ly/p9pB50QX7qW

One of the biggest challenges data and analytic leaders have today is managing and reducing cloud data warehouse expense. Our team at Coginiti has developed a novel approach that helps you optimize expenses without compromising performance. Learn how innovative techniques can streamline data usage, reduce cost from inefficient queries, and drive down costs in this insightful article we published in partnership with the Eckerson Group. #DataWarehouse #CloudOptimization #DataManagement https://lnkd.in/e2j2aVun

Check out these techniques to manage and reduce your cloud data warehouse compute spend by up to 20%.

Enterprises can leverage cloud-tiering functionalities to store critical data in private or on-premises while storing less frequented data on public cloud. This reduces the cost incurred in storing and accessing the cloud. Another strategy could be prioritising primary data on fast-access cloud storage while using #Cloud tiering to store redundant #Data. Read this article by @Intelligent CIO Middle East, in which Executives from different companies of the sector share their perspectives, including the one by Alexey Sidorov, Data Science Guru and Chief Evangelist at Denodo https://buff.ly/3CIU3ne

When migrating a large, on-premises database to the cloud, the sheer size of the data can present significant obstacles. This blog post, co-authored with Pragnesh S and Chibuzor Onwudinjor, aims to provide guidance and insights to make this migration process more seamless. The goal is to equip you with the knowledge and strategies needed to overcome the database size barrier and successfully migrate your on-premises database to the AWS cloud. Pragnesh S Chibuzor Onwudinjor #aws #blogs #migration #modernization #data