Systems | Development | Analytics | API | Testing

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.

FinServ APIs: How to Improve Governance & Deploy with Confidence

Financial services innovation continues to progress at a breakneck pace. For example, fintech developers can programmatically spin up accounts, move money, and issue and manage cards with Increase or embed financial services into their marketplace with Stripe – capabilities that were unimaginable just a few years ago.

Data Governance and Strategy for the Global Enterprise

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations.

Software Testing Tools - Quality Apps, Quality Digital Experiences

Modern digital users have the patience level of a typical 5-year-old. Apps that incorporate software testing tools have one core objective to meet: not to make the first encounter with a glitchy UI and unusable functionalities. Software quality in software engineering is a general expectation business stakeholders have. Unfortunately, testing is also “sacrifice” for time to market, postponing the release date and rejecting builds last minute in the development process.