Analytics

5 engineering tools every analytics and data engineer needs to know

Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.

Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?

The open source ML tooling ecosystem has become vast in the last few years, with many tools both overlapping in their capabilities as well as complimenting each other nicely. In part because AI/ML is a still-immature practice, the messaging around what all these tools can accomplish can be quite vague. In this article, we’ll dive into three tools to better understand their capabilities, and how they fit into the ML lifecycle.

Setting up Google BigQuery as a data warehouse in minutes

In this tutorial, learn how to set up a new Google BigQuery cloud-based data warehouse account and extract data from all your data sources using Stitch in less than 3 minutes. Stitch partners with the most common data warehouses and data lakes to help move your data from sources like Shopify, MongoDB, LinkedIn Ads, Zapier, Hubspot, SendGrid, Google Analytics, and more. Google Analytics. Watch this step-by-step tutorial on how to set up Google BigQuery for data storage.

No Average Patient - Leveraging Data for Precision Healthcare

The evolution of healthcare has come a long way since local physicians made house calls and homespun remedies were formulated using items from the kitchen spice rack. Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs.

Cloudera + Talend | Hybrid Cloud Heros

Learn more about why we are partnering with Talend. Talend is a leader in Year Gartner Magic Quadrant providing data integration tools in 2022. Talend provides enterprises with high quality data solutions to achieve data health. Talend’s Data Health and Lineage capability adds business context to data, enhancing our data governance, which helps enterprises accurately assess data risks.

#shorts - Monitor Resource Consumption in the Qlik Cloud QMC

Administrators can monitor purchased and used amounts of different capacities in the Home pane in the Qlik Cloud Management Console. The pane gives you an overview of the consumption of user allocations, data capacity, reloads, and other capacity-based resources. It also shows a list of the capabilities that are enabled with your subscription and the limits on the capabilities.

Trusted Data: Alchemy For Misinformation

The best description of untrusted data I’ve ever heard is, “We all attend the QBR – Sales, Marketing, Finance – and present quarterly results, except the Sales reports and numbers don’t match Marketing numbers and neither match Finance reports. We argue about where the numbers came from, then after 45 minutes of digging for common ground, we chuck our shovels and abandon the call in disgust.” How would you go about fixing that situation?