Diving into KoP concepts, answering frequently asked questions, and the latest and future improvements the KoP community has made and will make to the project.
Learn how to build a modern data stack with cloud-native technologies, such as data warehouse, data lake, and data streaming, to solve business problems.
Discover the key differences between Databricks and Snowflake around architecture, pricing, security, compliance, data support, data protection, performance, and more.
Learn what data ingestion is, why it matters, and how you can use it to power your analytics and activate your data as an essential part of the modern data stack.
Learn the reasons to use application databases and explicit publishing of data in your architecture, and how to manage growth in your data scope and size.
Explore fundamentals of Elasticsearch, a full-text search engine and analysis tool developed using Java programming language on Apache Lucene infrastructure.
It is easier than ever to accumulate data but also challenges remain to ensure complete and correct data is captured. Discover key techniques and methodologies.