Systems | Development | Analytics | API | Testing

Enterprises run on a steady flow of best-fit data analytics. Robust processes ensure these assets are always accurate, relevant, and fit for purpose. Increasingly, organizations are implementing these processes within structured development and operationalization “pipelines.” Typically, analytics data pipelines include data engineering functions such as extract-transform-load (ETL) and data science processes such as machine-learning model development.

Qlik Data Integration automates the creation of data streams and efficiently moves it to applications, data warehouses and data lakes, delivering business-ready data to Qlik Sense or other analytics solutions. This video includes an interview with Qlik's Adam Mayer, along with an extensive demo of Qlik's Data Integration solutions.

What if there was a way to easily manage, process, and analyze any data type in a single platform? Snowflake is here to help. Simplify your architecture with a single platform for all data types and workloads, unlocking new use cases for your data. With Snowpark, your data scientists and engineers can securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows while working in Python, Java, or Scala.

Mark Settle, the 7 time CIO and author of the recent book Truth from the Valley, a Practical Primer on IT Management for the Next Decade, joins Lauren to discuss data mining, (and regular mining), how to recognize your constraints, the importance of performance management, and much more.

The 'data lakehouse' is quickly becoming popular in the data analytics community. Data lakehouse architecture combines the benefits of a data warehouse and a data lake. It aims to merge the data warehouse’s data structure and management features along with the flexibility and relatively low cost of the data lake. Watch this panel discussion to learn how the data lakehouse can address the limitations of the data lake and data warehouse architecture to deliver significant value for organizations. Explore why the data lakehouse is an ideal option for enterprise data storage initiatives.

Nowadays most businesses adopt GraphQL Subscriptions for their event-driven applications for interactive and immediate user experience. WSO2 API Manager 4.1.0 helps you to create, publish and deploy GraphQL APIs with subscriptions. API Manager Gateway manages your GraphQL subscription backends by applying authentication, authorization, rate limiting, query payload validation, query complexity, and depth validation.

Today we’re talking landing pages—whether you’re investing time and resources into content and SEO or rely heavily on paid search and paid social, all that website traffic won’t mean much if the landing pages you’re driving traffic to aren’t converting well.

Choreo Connect 1.1.0 supports multiple topics, rate limiting, API Insights for WebSocket APIs. Multiple topics support URL mappings which may include path params. You can enable advanced, application or subscription rate limiting based on event count or data bandwidth. API analytics can be published to the Choreo platform. Try out in your local environment.