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Analytics

Cloud OnAir: CE TV: Unlocking Data Analytics and Machine Learning with BigQuery ML

Join us for an exciting session into the newly announced BigQuery ML, a capability inside Google BigQuery that allows data scientists and analysts to build and deploy machine learning models on massive structured or semi-structured datasets.

Key Considerations for Converting Legacy ETL to Modern ETL

Recently, there has been a surge in our customers who want to move away from legacy data integration platforms to adopting Talend as their one-stop shop for all their integration needs. Some of the organizations have thousands of legacy ETL jobs to convert to Talend before they are fully operational. The big question that lurks in everyone’s mind is how to get past this hurdle.

Talend Speeds Apache Spark and Machine Learning Implementations without Coding

Redwood City, CA - September 11, 2018 - Talend (NASDAQ: TLND), a global leader in cloud integration solutions, today announced it will debut at the Strata Data Conference in New York City a new sandbox that brings sophisticated machine learning technologies to the hands of developers and data engineers so they can easily create smarter data pipelines.

Cloudera SDX : Cutting through the hype and getting to what's real

Multi-disciplinary analytics are the key to moving from insight to action but how do you keep the data context in sync between transient and persistent workloads, especially when cloud gets involved? In this video, we'll show you why a shared data context is a crucial element to success, how the latest release of SDX lets you share context across even wider and how you too can add the capability to your Cloudera Enterprise deployments.

Cloudera Workload XM Demo: Data Engineering

Workload Experience Manager (XM) gives you the visibility necessary to efficiently migrate, analyze, optimize, and scale workloads running in a modern data warehouse. With Cloudera Workload XM you can reduce migration time and risk, eliminate missed SLAs and slow queries, reduce downtime with faster troubleshooting, and maximize resource utilization.