Systems | Development | Analytics | API | Testing

Pushing Data to the Salesforce CRM From Your Warehouse 7 Pitfalls

ETL is an acronym for Extract, Transform and Load. It refers to a process of extracting data from one system and transforming it so that it can be loaded into another system. It is the process that lets businesses amass large amounts of data in data warehouses that they can use for business operations. Reverse ETL is a term used when the data is pushed from the warehouse to the CRM. This process seems simple, but there are many pitfalls that can come up during this phase.

How to Create API Value Chains to Grow Your Business

An application programming interface (API) value chain connects you to your customers through a series of partners. Unlike browser-based web apps where your customers buy goods or services directly from your website. APIs are a vital component of your digital business strategy. They help you analyze data and enable a multi-cloud strategy that can dramatically accelerate your time-to-market. Once you know how to create API value chains, you can implement them right away.

What is Quality Assurance in Software Testing?

Quality Assurance (QA) is a typical process for ensuring that the end product of any Software Development Lifecycle (SDLC) corresponds to the overall and scope-agreed-upon objectives. Historically, quality assurance (QA) testing has been introduced rather late in the software development cycle. In a Waterfall process, for example, the software is created and then sent along to the QA team, which provides input and then sends the program back to the development team to be fixed.

Demystifying DataOps - Riding the Change

A well planned data-driven strategy has become the need of the hour in today’s competitive world. In order to deliver the best, businesses need relevant, appropriate and sufficient data at the right time. But the characteristics of data are changing rapidly across volume, variety and variability, which puts enormous pressure on current data management approaches. Thus, dealing with real-time insights from increasing data in an automated manner has become the current focus of many experts. This has resulted in the rise of DataOps.

Scalability Testing Best Practices

Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.

Learn how a Healthcare Provider implemented reliable traceability and increased efficiency by 73%

A leading company in the healthcare industry has been providing value and care to its clients worldwide for over 20 years. With more than 5,000 employees, this healthcare provider focuses on developing, manufacturing, and distributing continuous glucose monitoring systems for diabetes management.

How to Get Funnel Insights in Snowflake | Demo

Funnel is a Snowflake partner that collects data from more than 500 marketing apps and platforms, helps you define metrics and aggregations, and normalize the values between providers. Let’s say you are a retailer and you place ads with Google, Bing, Twitter, Facebook, Quora, etc. This means you have an account for each of these ad networks, making it challenging to track all your data, in different places. With Funnel and Snowflake, you can bring and track all that data in one place.

Kong Data Plane Life Cycle With AWS Cloud Development Kit

From the modern application platform perspective, products should allow architects and DevOps teams to support dynamic topologies. That means a multi-platform capability is required but not sufficient. In fact, for several reasons, companies are looking for hybrid deployments to run their applications on several platforms simultaneously. Moreover, the topology should support and adjust for new and continuous architecture changes.