Systems | Development | Analytics | API | Testing

Using Moesif's Live Event Log to Filter and Inspect API Calls and Events

As you may know, event logs are a common feature in operating systems and other software that keep track of system and application errors. When you have API traffic to follow or front-end actions you want to watch, using Moesif’s Live Event Log is a simple way to filter and find the data you need.

Power Your Lead Scoring with ML for Near Real-Time Predictions

Every organization wants to identify the right sales leads at the right time to optimize conversions. Lead scoring is a popular method for ranking prospects through an assessment of perceived value and sales-readiness. Scores are used to determine the order in which high-value leads are contacted, thus ensuring the best use of a salesperson’s time. Of course, lead scoring is only as good as the information supplied.

How To Use a Customer Data Platform (CDP) as Your Data Warehouse

Here’s what you need to know about how to use your customer data platform (CDP) as your data warehouse: Whether you’re a mom-and-pop store or an ecommerce giant, understanding the customer journey is crucial to your organization’s success. When you collect data across a wide range of customer touchpoints, you can use this wealth of information for many different use cases: performing audience segmentation, improving your marketing campaigns, boosting customer engagement, and more.

[DEMO] How to manage Talend Studio updates from Talend Management Console?

Talend Cloud provides powerful graphical tools and 900+ connectors and components to connect databases, big data sources, on-premises, and cloud applications. Design cloud-to-cloud and hybrid integration workflows in Talend Studio and publish them to a fully managed cloud platform. If you are using Talend Cloud Management Console with Talend Studio, depending on your license, you can create executable tasks for Jobs, Data Services, and Routes published from Talend Studio and run them directly in the cloud or on Remote Engines, ensuring the security of your data. =

Complete ETL Process Overview (design, challenges and automation)

The Extract, Transform, and Load process (ETL for short) is a set of procedures in the data pipeline. It collects raw data from its sources (extracts), cleans and aggregates data (transforms) and saves the data to a database or data warehouse (loads), where it is ready to be analyzed. A well-engineered ETL process provides true business value and benefits such as: Novel business insights. The entire ETL process brings structure to your company’s information.

Star Schema vs Snowflake Schema and the 7 Critical Differences

Star schemas and snowflake schemas are the two predominant types of data warehouse schemas. A data warehouse schema refers to the shape your data takes - how you structure your tables and their mutual relationships within a database or data warehouse. Since the primary purpose of a data warehouse (and other Online Analytical Processing (OLAP) databases) is to provide a centralized view of all the enterprise data for analytics, data warehouse schemas help us achieve superior analytic results.