Overview Data integration in the ‘Age of Digital’ brings in need for ETL development to happen at the ‘Speed of Business’ rather than at ‘IT Speed’. Data integration layer is the important ‘glue’ between the user engagement apps in the EDGE and the systems of record at the CORE of IT landscape. Application development for the Experience Layer happens at the ‘Speed of Busi...

Ranjith Ramachandran is a senior Big Data and Talend Consultant at Wavicle Data Solutions.    Data lakes: smooth sailing or choppy waters? In May, Talend announced its support for...

I have had the privilege of playing with and following the progress of Pipeline Designer for a while now. I am really excited about this new tool. If you haven’t seen it yet, then don’t delay and get your free trial now…..actually, maybe read this blog first ;-)  Pipeline Designer is an incredibly intuitive, web-based, batch and ...

When working with Talend Pipeline Designer, you may come across situations where you need to write an Avro schema. Go to the Apache AVRO site to read more about this serialization technology. This blog has come about thanks to some experiences I’ve had when working with Avro schemas and getting them to work when serializing using Python and Java. Spoiler alert!....they don’t necessarily work the same w...

We are happy to announce Talend is a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2020.  Talend’s unified approach to data management – combining data integration, integrity, and governance in a single platform – is the best way to gain clarity and confidence in your data.  Since we launched Talend Data Fabric in 2015, we’ve been strong believers that data integrati...

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...

This post is co-authored by Jorge Villamariona and Anselmo Barrero at Qubole. A popular term emerging from the software industry over the last few years is serverless computing, more commonly referred to as just “...

When I hear the phrase “Data Warehouse Optimization”, shivers go down my spine.  It sounds like such a complicated undertaking.  After all, data warehouses are big, cumbersome and complex systems that can store terabytes and even petabytes of data that people depend on to make important decisions on the way their business is run.  The thought of any type of tinkering with such an integral part of a modern business w...

Let’s be honest, the ‘Data Lake’ is one of the latest buzz-words everyone is talking about. Like many buzzwords, few really know how to explain what it is, what it is supposed to do, and/or how to design and build one.  As pervasive as they appear to be, you may be surprised to learn that Gartner predicts that only 15% of Data Lake projects make it into productio...