Month: February 2019

Delivering on Data Science with Talend: Getting Quality Data

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 to […]


6 Dos and Don’ts of Data Governance – Part 1

Set clear expectations from the start One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data […]


Cloud Data Warehouse Trends You Should Know in 2019

In October 2018, TDWI and Talend asked over 200 architects, IT and Analytics managers, directors and VPs, and a mix of data professionals about their cloud data warehouse strategy in a survey conducted in October 2018. We wanted to get real answers about how companies are moving to the cloud, especially with the recent rise […]


Automated Machine Learning: is it the Holy Grail?

Authored by Gero Presser, co-founder and managing partner of Quinscape GmbH in Dortmund (@gero_presser) Machine learning is in the ascendancy. Particularly when it comes to pattern recognition, machine learning is the method of choice. Tangible examples of its applications include fraud detection, image recognition, predictive maintenance, and train delay prediction systems. In day-to-day machine learning (ML) and the […]


Best Practices for Using Context Variables with Talend – Part 1

A question I was regularly asked when working on different customer sites and answering questions on forums was “What is the best practice when using context variables?” My years of working with Talend have led me to work with context variables in a way that minimizes the effort I need to put into ongoing maintenance […]


Data Warehouse Modernization and the Journey to the Cloud

To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to […]


Spinning up Cloud-scale Analytics is now Even More Compelling with Talend and Microsoft

Today, we’re excited to share two announcements that make adopting Microsoft Azure SQL Data Warehouse (ADW) a no-brainer. First, ADW significantly increased the lead over the competition with the new price-performance benchmarks published by GigaOm, showing exponential price-performance improvements over similar solutions. This should be especially interesting to large enterprises with legacy, on-premises data warehouse […]


How Euronext is Utilizing Real-Time Data to Become a “Data Trader”

Following its split from the New York Stock Exchange in 2014, Euronext became the first pan-European exchange in the eurozone, fusing together the stock markets of Amsterdam, Brussels, Dublin, Lisbon, and Paris. Euronext uses Optiq, an incredible trading platform, which is the active memory of 100 TB transactions, with systems that practically work in nanoseconds. […]