Data plays an important part in nearly every business operation; for it to be valuable, it must be moved and prepared for use, which means you need ETL processes.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example uses Talend's machine learning capabilities to implement a personalized recommendation model based on user input.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example demonstrates a Data Warehouse Optimization approach that utilizes the power of Spark to perform analytics of a large dataset before loading it to the Data Warehouse.

Webinar Series "Your Customer's Journey" EP 7

Account managers at Synx used to handle 5 accounts at once. Now, they can handle 12. Learn how Charles McKay set up processes that allowed his agency team to double their productivity.

Glen Rabie, CEO of Yellowfin, makes 5 predictions for BI and data analytics in 2019.

Keith Moehring shares how his agency has used automated dashboards to set and hit marketing goals for clients.

Mike Tarallo from Qlik updates you on the latest Qlik products, features and useful community and developer resources.

Here's how Kenny Lange started using real-time dashboards and SMART goals to help his clients understand his agency's digital marketing campaigns.

Predictive Analytics with BigQuery ML.