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Hit the “Easy” Button with Talend & Databricks to Process Data at Scale in the Cloud

The challenge today for big data is that 85% of on-premises based Big Data projects fail to meet expectations and over 2/3 of Big Data potential is not being realized by organizations. Why is that you ask? Well, simply put on-premises “Big Data” programs are not that easy.  Your data engineers will need to be proficient in new programming languages and architectural models while your system admins will need to learn how to s

Accelerate the Move to Cloud Analytics with Talend, Snowflake and Cognizant

In the last few years, we’ve seen the concept of the “Cloud Data Lake” has gained more traction in the enterprise. When done right, a data lake can provide the agility for Digital Transformation around customer experience by enabling access to historical and real-time data for analytics. However, while the data lake is now a widely accepted concept both on-premises and in the cloud, organizations still have trouble making them usable and filling them with clean, reliable data. I

What the Healthcare Industry Can Teach Companies About Their Data Strategy

The information revolution - which holds the promise of a supercharged economy through the use of advanced analytics, data management technologies, the cloud, and knowledge - is affecting every industry. Digital transformation requires major IT modernization and the ability to shorten time data to insights to make the right business decisions. For companies, it means being able to efficiently process and analyze data from a variety of sources at scale. All this in the hope to streamline opera

Talend and Red Hat OpenShift Integration: A Primer

One of the aspects I am always fascinated about Talend is its ability to run programs according to multiple job execution methodologies. Today I wanted to write an overview of a new way of executing data integration jobs using Talend and Red Hat OpenShift Platform. First and foremost, let us do a quick recap of the standard ways of running Talend jobs. Users usually run Talend jobs using Talend schedulers which can be either in the 

Getting Started with Talend Open Studio: Building a Complex tMap Job

In our previous blog, we walked through a simple job moving data from a CSV file into a Snowflake data warehouse.  In this blog, we will explore some of the more advanced features of the tMap component. Similar to the last blog, you will be working with customer data in a CSV file and writing out to a Snowflake data warehouse; however, you will also be joining your cu

5 Recipes for Not Becoming the Data Turkey of Your Organization

With Thanksgiving around the corner, it's a perfect moment to take a step back and get some recipes to be data savvy within your organization. Fortunately, Talend experts have a recipe for data success that will help you to stay above the fray. As companies become more data driven, being ahead of the curve will obviously be considered as a sign of curiosity and a way to differentiate. This is also a means for your company to anticipate incoming trends and thrive in a changing world wh

A Serverless Architecture for Big Data

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 “

Getting Started with Talend Open Studio: Building Your First Job

In the previous blog, we walked through the installation and set-up of Talend Open Studio and briefly demonstrated key features to familiarize you with the Studio interface. In this blog, we will build a simple job to load data from a local file into Snowflake, a cloud data warehouse technology. More specifically, we will build a new

Beachbody Gets Data Management in Shape with Talend Solutions

This post is co-authored by Hari Umapathy, Lead Data Engineer at Beachbody and Aarthi Sridharan, Sr.Director of Data (Enterprise Technology) at Beachbody. Beachbody is a leading provider of fitness, nutrition, and weight-loss programs that deliver results for our more than 23 million customers. Our 350,000 independent "