We know that data is a key driver of success in today data-driven world. Often, companies struggle to efficiently integrate and process enterprise data for fast and reliable analytics, due to reliance on legacy ETL solutions and data silos. To solve this problem, companies are adopting cloud platforms like Microsoft Azure to modernize their IT infrastructure. To get the most out of their Microsoft Azure investment, however, these organi...

Azure SQL Data Warehouse (DW) has quickly become one of the most important elements of the Azure Data Services landscape. Customers are flocking to Azure SQL DW to take advantage of its rich functionality, broad availability and ease-of-use. As a result, Talend’s world-class capabilities in data integration, data quality and preparation, and data governance are a natural fit with Azure SQL DW. With Talendâ€...

A common perspective that I see amongst software designers and developers is that Machine Learning and Artificial Intelligence (AI) are technologies which are only meant for an elite group. However, if a particular technology is to truly succeed and scale, it should be friendly with the common man (in this case a normal software developer). In this blog, I would like to discuss how Amazon Web Services (AWS) has changed the landscape of Machine Learning and AI through its various servi...

Last night it occurred to me that everything in the last three parts of this blog series ( Part 1 / Part 2 / Part 3 ) had...

Since the release of Talend 7.1 users can build Talend jobs as Docker images and publish them to Docker registries. In this blog post, I am going to run through the steps to publish to the major cloud provider container registries (AWS, Azure and Google Cloud). Before I dig into publishing container images to registries, I am going to remind you the basics of building Talend Jobs in Docker images from Talend Studio as well as point out the difference betw...

In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization.  Here are six more dos and don'ts when building your data governance framework. Do: Consider the cloud on your route to trust...

OTTO is one of Europe’s most successful e-commerce companies and Germany’s biggest online retailer. In the past financial year, 6.6 million customers ordered online from OTTO. Like virtually every other retailer with an online presence, OTTO competes against Amazon for customers and mindshare. To hold their own, they knew they needed to use and analyze data t...

This post was authored by Venkat Sundaram from Talend and Ramu Kalvakuntla from Clarity Insights. This is the second part in a series of blogs that discuss how to successfully build governed data lakes. To all those who have read...

Hello and welcome to Part 3 of my best practices guide on context variables! Before I get started, I just want to inform you that this blog builds on concepts discussed in Part 1 and Part 2. Read those before you get started.  Let’s say that we decide that we want our Talend Jobs to be able to ru...

Today, we are in the information age with a tremendous amount of data being created (as much as 90% of data being created in the last two years alone). This data comes from a wide range of sources and takes many different forms: human-generated documents and social media communications; transactional data that we use...