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How Kent State University is streamlining processes for recruiting and admitting students

Kent State University is a public research university located in Kent, Ohio, with an enrollment of nearly 41,000 students.  Success in recruiting qualified students in sufficient numbers is the lifeblood of any university. In its efforts to aggregate data related to admissions, Kent State found itself dealing with a “spaghetti mess”, further complicated by its hybrid environment. Currently, the university relies on an on-premises Banner ERP syst

Microsoft Azure & Talend : 3 Real-World Architectures

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

All the Ways to Connect Your Azure SQL Data Warehouse with Talend

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 Talend

6 Ways to Start Utilizing Machine Learning with Amazon Web Services and Talend

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

How to deploy Talend Jobs as Docker images to Amazon, Azure and Google Cloud registries

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

6 Dos and Don'ts of Data Governance - Part 2

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

How OTTO Utilizes Big Data to Deliver Personalized Experiences

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

Best Practices for Using Context Variables with Talend – Part 3

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 run