Talend Blog

How to Operationalize Machine Learning with Talend

  Today’s world has recently taken up an increased focus on machine learning and with data scientists/data miners/ predictive modellers / *whatever new job term may emerge* operating at the cutting-edge of technology, it cannot be forgotten that machine learning needs to be implemented in such a way to aid in the solution of real […]

3 Top Trends in Big Data, & 3 Things Holding Them Back

  Big Data as a set of technologies and as a business strategy is maturing. The upside to this maturation is more advanced tools, smoother deployments, and new business opportunities. The downside is the rise of new challenges that require smarter strategies if companies want to be truly successful in achieving their digital transformation goals. […]

An Introduction to Continuous Integration and Workflows

  A well-defined SDLC practice in a typical organization generally has projects running with users and roles. These users design, develop, test and deploy the jobs as per the business need/requirement. But have you ever wondered – what happens to the code after that? What if multiple developers want to work on the same job? […]

How to Seamlessly Include GeoSpatial Data and Operations Into Your Data Integration Process

  With the increased availability of data through sensors, inter-connected mobile devices, social media and private or public spatial data sets, the demand for a seamless integration of spatial information into data-driven decision-making processes has reached a new high. We consider spatial data as any kind of data supplemented with additional information about the location […]

Why the Gartner Magic Quadrant is a Developer’s Secret Weapon

  The 2017 Gartner Magic Quadrant for Data Integration Tools will help catapult your latest Talend project from “your best-kept secret” into a organizationally-recognized example of genius.  We all have our ‘dirty little secrets’, if you will, don’t we? Maybe you threw a party at your parent’s house in high school when they were on […]

ETL, ELT, and UPM for Data Warehousing with Google BigQuery

  Authored by Darius Kemeklis, Myers-Holum, Inc It’s hard to believe that Data Warehousing (DW) has been around since 1970 when Bill Inmon first defined the term.  The 1990’s saw Bill Inmon and Ralph Kimball dueling on two different Data Warehousing approaches, with Kimball publishing The Data Warehousing Toolkit. The 2000’s saw MPP databases and the birth of Big Data and […]

Data Model Design & Best Practices – Part 2

  What is a Data Model?  As Talend developers, we see them every day, and we think we know what they are: A structural definition of a business system data  A graphical representation of business data  A data foundation upon which to build business solutions  These may all be true statements, but for a moment […]

Running Data Preparations on your Data Lake with Talend and Apache Beam

  You may have seen recently that the first stable version of Apache Beam (v.2.0) was recently released. Apache Beam is an advanced unified programming model designed for batch and streaming data processing. It’s extremely powerful and portable which is why we’ve been actively contributing to the project since the very beginning. Recently, we’ve integrated […]

Is Your Data Integration Platform Container Ready?

  Docker Containers are widely used and becoming even more prevalent as companies seek to streamline their operations.  Containers help decouple compute resources from applications, increasing the elasticity and hence the efficiency of IT operations.  DataDog reports that Docker usage has grown 40% over the past year, 18.8% of the DataDog sample customers use Docker.  […]