Systems | Development | Analytics | API | Testing

Latest News

Accelerate and Reduce Costs of Migrating Data Workloads to the Cloud

Today, Unravel announced a new cloud migration assessment offer to accelerate the migration of data workloads to Microsoft Azure, Amazon AWS, or Google Cloud Platform. Our latest offer fills a significant gap in the cloud journey, equips enterprises with the tools to deliver on their cloud strategy, and provides the best possible transition with insights and guidance before, during, and after migration. Full details on the assessment and business value are detailed below in our announcement below.

Standardization of Customer Data - Hidden gems in Talend Component Palette

If you are a banker, would you like to hear the bad news that your company’s name is on the headlines of every news channel since the bank has accidently delivered the credit card to a scamster instead of a genuine customer? Unfortunately, this scenario occurs when the address records were not in standard format and the letter was delivered to a similarly resembling address.

Modernizing the IT architecture for a successful digital transformation

In a competitive world driven by consumers, companies are all facing the same business challenge: they need to make their data available to their business teams, enabling them to deliver better experiences and to streamline operations. IT plays a strategic role here as it can accelerate delivery of trusted data.

The Gendarmerie Nationale uses data to strengthen French national security

In 2010, the Union of European Football Associations (UEFA) named France the 2016 host of the European Championship. Paris was also set to host the UN Climate Change Conference, COP 21, in late 2015, another major international event with high-stake security issues. How to make sure dangerous individuals would not have access to very sensitive areas?

The way people consume data is changing

There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.

The Hole Story and Bias in AI

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.

Ingesting data from AWS s3 to Snowflake using Stitch

Stitch is a very simple yet very powerful cloud service which connects to a diversity of data sources. It is a very user-friendly ingestion system and works in a very simple format. Stitch connects to the data sources, pulls the data and loads the data to a target. In this blog, I am going to connect to Amazon S3, read a file and load the data to Snowflake but first let’s understand few concepts of Stitch. For Stitch to work you need an Integration and a Destination.

How to bulk load Snowflake tables using Talend Cloud Platform

Talend Cloud is an Integration platform as a service (iPaaS) offering by Talend. It is a fully managed cloud option which has the capabilities of data integration, data stewardship, data preparation, API designer and Tester and Pipeline designer. These tools can be used for lightweight ETL and detecting the schema on the fly. One of the unique features of Talend Cloud is it provides both on premise and cloud execution environments.

Microsoft Azure & Talend : 3 Real-World Architectures

We know that data is a key driver of success in today data-driven world. In fact, according to Forrester, data and insight-driven businesses are growing at an average of more than 30% annually. However, becoming a data driven organization is not easy. Companies often struggle with speed in accessing and analyzing their data, as well with ensuring delivery of trustworthy data that is free of critical errors.