What do you think about the latest hot topic – cloud lakehouses? A lakehouse conjures up images in my mind of peace and tranquility – a beautiful house next to a stunning lake. In the world of technology, cloud lakehouses hold a similar promise of utopia. However, without a solid foundation of cloud-native data management, your utopia can turn into a failure with unstable, untrustworthy, dirty data.
A cloud lakehouse is a new way of thinking about data in the cloud that encompasses the best elements of data lakes and data warehouses. Cloud lakehouses have various curated zones that enable data to move easily from the lake to the warehouse and make trusted data available to more users.
Although cloud lakehouses are new, data warehouses and data lakes have been around for years. Data warehouses are designed to store, update and retrieve highly structured and curated data primarily for business analytics and decision-making.Data lakes, on the other hand, are designed to store massive amounts of data — whether structured or unstructured – at a much lower cost. They are primarily used for exploratory analytics and data science.
But a cloud lakehouse still possesses all of the same challenges as its older siblings - it needs enterprise-scale data integration, data quality and metadata management to deliver on its promise.
Today, increasing numbers of companies are building their new data warehouses or data lakes in the cloud. Or they’re consolidating and modernizing their on-premises data warehouses or data lakes to run in the cloud.
The problem is, many organizations struggle to see the first time to value and ROI from their cloud data warehouse and data lake.
Why? The data. According to a survey by TDWI, most organizations point to the lack of sufficient data integration, data quality and metadata management as the chief barriers to succeeding with their cloud data warehouses and data lakes.
It’s déjà vu. These are the same problems that we’ve seen (and solved) in the on-premises data warehousing and data lake world for decades. How can we avoid repeating the mistakes of the past in the cloud, and fighting these same battles yet again?
First, we need to take a step back. Why are organizations failing to maximize value from cloud analytics? Three reasons in particular stick out.
What’s needed: A best-of-breed, independent cloud lakehouse data management solution that solves all these problems, and more.
Informatica Cloud Lakehouse Data Management is the industry’s only enterprise-class, cloud-native, end-to-end data management solution for lakehouses – as well as data warehouses and data lakes – in the cloud.
Built on the industry-leading Informatica Intelligent Cloud Services (IICS), the industry’s most advanced enterprise iPaaS (Integration Platform as a Service), the Informatica Cloud Lakehouse Data Management Solution combines best-of-breed data integration, data quality, and metadata management.
The cloud-native solution is completely automated and has advanced metadata-driven artificial intelligence (AI) capabilities. It addresses the many complex data management challenges facing businesses today. With it, you can:
With Informatica’s cloud lakehouse data management solution, you can finally unleash the power of your cloud data warehouse, data lake, or lakehouse—even across disparate multi-cloud, hybrid environments. Now you can enjoy utopia with a solid cloud lakehouse data management foundation that enables you to successfully deliver on your top priority business transformations.
To hear more, tune in to the Data for AI & Analytics Summit in North America or EMEA, featuring Databricks, Ventana Research, Sunrun, Prologis, Microsoft, Accenture and more. Also, learn more with our Executive Brief: Intelligent Cloud Lakehouse Data Management for Cloud Analytics.