Contributions by Guest Bloggers
How to Optimize Data Pipelines Using Talend and intermix.io on Amazon Redshift
Cloud Data Warehouse Trends In the past few years, we’ve seen rapid adoption of a new data analytics stack, based on cloud warehouses like Amazon Redshift, Google BigQuery and Snowflake. This stack has three layers: Data Integration. Ingests raw data from the source into a staging area in the warehouse. Modeling Layer. Run algorithms on the raw data (usually with batch processing) and materialize the out READ ARTICLEDevelop a Tableau Component for Talend Studio
So far it was only possible to publish data from Talend Data Integration to Tableau Server indirectly. In this blog post we present a custom Talend Component, that enables Talend to publish data directly to Tableau Server without any detours. Business Use Case A company does not want to give all employees direct access to a SAP Hana database, due to performance considerations. For this reason, extracts from the Hana data are created using the data integration tool Talend. Fo READ ARTICLEHow next-gen DI works
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 READ ARTICLETime-Tested Insights on Creating Competitive API Programs
This post is authored by Datagrate. Datagrate helps their clients launch, manage and scale Talend’s best application integration solutions solving the most complex communication challenges. When the Application Program Interface (API) first came into existence, developers viewed it as a revolutionary approach to creating re-usable software fragments. Instead of creating new code from scratch for every READ ARTICLECan You Trust Your Analytics Dashboard? 3 Steps To Build a Foundation of Trusted Data
We are in the era of the information economy. Now, more than ever, companies have the capabilities to optimize their process through the use of data and analytics. While there are endless possibilities to data analysis, there are still challenges with maintaining, integrating, cleaning it to ensure that it will empower the people to ta READ ARTICLEAutomated Machine Learning: is it the Holy Grail?
Authored by Gero Presser, co-founder and managing partner of Quinscape GmbH in Dortmund ( READ ARTICLEA 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 “ READ ARTICLEBeachbody 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 " READ ARTICLEBitwise: Cloud Data Warehouse Modernization - Inside Look at Talend Connect London
With expectations of business users evolving beyond limitations of traditional BI capabilities, we see a general thrust of organizations developing a cloud-based data strategy that enterprise users can leverage to build better analytics and make better business decisions. While this vision for cloud strategy is fairly straightforward, the journey of identifying and implementing the right technology stack that caters to BI and analytical requirements across the enterprise can create some stum READ ARTICLELooking for the latest on data integration, cloud, data governance, and more?
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