Systems | Development | Analytics | API | Testing

Latest News

What's happening in BigQuery: integrated machine learning, maps, and more

In this month’s installment of What’s Happening in BigQuery, we’re sharing new features intended to make your life easier: some make BigQuery more performant and more cost effective, while others, like BigQuery ML, enable groundbreaking analysis tools in a cloud data warehouse that’s a first of its kind. First off, we just finished Next ‘18, our annual event focused on all things cloud.

Talend Unveils Bulk Data Uploader to Enable Large-Scale, Real-Time Analytics on Microsoft Azure SQL Data Warehouse

Redwood City, CA - August 16, 2018 - Talend(NASDAQ: TLND), a global leader in cloud integration solutions, unveiled a new bulk data uploader for Microsoft Azure SQL Data Warehouse, which helps empower thousands of users across an organization with a fast, flexible and secure cloud data warehouse.

Demystifying Microservices

Are they basically just an evolved version of service-oriented architectures (SOA)? Since a microservice must be exposed via an application programming interface (API) for an organization to scale it to new developers, does that mean managing microservices is basically the same as managing APIs? As this article will discuss, the answer to both of these questions is a clear “no” — and companies looking to get the most from their microservices need to understand why.

Going Serverless with Talend through CI/CD and Containers

Continuous integration, delivery and deployment, known as CI/CD, has become such a critical piece in every successful software project that we cannot deny the benefits it can bring to your project. At the same time, containers are everywhere right now and are very popular among developers. In practice, CI/CD delivery allows users to gain confidence in the applications they are building by continuously test and validate them.

Stop being an Excel slave

All marketers have to deal with essentially the same problem when managing their online campaigns and looking for the right attribution model: the data they need for evaluation is scattered across various systems, and collecting and collating it takes too much time. If they decide to use solutions intended to help them to handle this problem, they often find such solutions are not, in themselves, enough.