Analytics

Ethereum in BigQuery: how we built this dataset

In this blog post, we’ll share more on how we built the BigQuery Ethereum Public Dataset that contains the Ethereum blockchain data. This includes the primary data structures—blocks, transactions—as well as high-value data derivatives—token transfers, smart contract method descriptions.

What happens when your finance team gets high on data

Yellowfin has always been a data-focused organisation. But for far too long our finance team has relied on Excel as their core mechanism for analyzing our business. Recently, that’s changed at Yellowfin thanks to our new CFO, Keith Bold. Keith really understands the power of data and wanted to empower the finance team to join the rest of our organisation who use BI every day.

Creating Real-Time Anomaly Detection Pipelines with AWS and Talend Data Streams

Thanks for continuing to read all of our streaming data use cases during my exploration of Talend Data Streams. For the last article of this series, I wanted to walk you through a complete IoT integration scenario using a low consumption device and leveraging only cloud services. In my previous posts, I’ve used a Raspberry Pi and some sensors as my main devices. This single board computer is pretty powerful and you can install a light version of Linux as well.

Qlik Enhances Enterprise Data Journey With New Big Data Offerings

New York – Strata Data Conference – Qlik® continues to execute on its mission to supply enterprise customers with end-to-end data management and analytics solutions with two new big data offerings - the latest version of the Podium Data® product and the initial release of Qlik’s Associative Big Data Index available this month. Enterprises need to unlock data’s full value to help users accelerate action and outcomes.

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.

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.

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.