How to Use Apache Iceberg in CDP's Open Lakehouse
In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation, which helps users avoid vendor lock-in and implement an open lakehouse. The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML).
Automate Your Report Process with Databox
Whether you’re creating reports for your clients or simply looking to improve your internal reporting process, manual reporting can be complicated and time-consuming. Copy and pasting the data you need from different tools into your own presentation takes time and leaves room for errors. Automating this process will not only save hours of work, it can improve the quality and cadence of your reports.
Iceberg in the modern data stack
The future of the modern data stack is tightly coupled to how those warehouses evolve — and that’s where Iceberg comes in.
Introducing Applied Machine Learning Prototypes
Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.
What is the Impact of Using a Business Analytics Dashboard?
It's common knowledge today that business intelligence (BI) dashboards are powerful tools that can help you track and analyze your business performance, identify trends and patterns, and make better decisions based on data, not gut feeling. There several benefits to using a business intelligence dashboard, and it can have a big impact on your business.
What is the Best ETL Method for Data Analysis?
The five critical elements of ETL methods for analyzing data: ETL is a critical process necessary to discover the nuggets of truth locked inside a business’s vast ocean of data. Different data points, once analyzed as a whole, help businesses make smarter, more informed decisions. Companies that create substantial data figures, all coming from different, separate sources, find that ETL impacts the business’s decisions considerably. But what is ETL?
Build an Effective Performance Reporting Process with These 8 Tips
Say goodbye to generating reports via spreadsheets: 30+ experts spill their best-kept secrets on creating an effective reporting process.