Extract, transform, load (ETL) is at the center of every application of data, from business intelligence to AI. This tec
189 45 2MB
English Year 2024
Report DMCA / Copyright
DOWNLOAD FILE
"Extract, transform, load" (ETL) is at the center of every application of data, from business intelligence to
296 80 1MB Read more
Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern da
522 193 9MB Read more
If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on
1,073 175 5MB Read more
Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project
639 119 2MB Read more
Develop production-ready ETL pipelines by leveraging Python libraries and deploying them for suitable use cases Key Fea
617 243 6MB Read more
Learn to build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka. Key FeaturesDevelop m
603 176 5MB Read more
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practice
347 104 11MB Read more
All cloud architects need to know how to build data platforms—the key to enabling businesses with data and delivering en
730 231 7MB Read more
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been
553 206 11MB Read more
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transform
13,899 2,100 7MB Read more