Cost-effective ELT: Four factors to consider
From DIY opportunity cost and pipeline maintenance to moving and transforming data, here’s how to judge the cost-effectiveness of ELT.
What's New: AutoActions feature for the EMR platform
This video provides an overview of the AutoActions feature demonstrating a use case for monitoring EMR cluster cost and was recorded in the 4.7.8.0 release. #unraveldata #unraveldemo This video covers.
How to optimize your cloud data costs: 4 steps to reduce cloud data platform costs
If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.
Consumer GPUs vs Datacenter GPUs for CV: The Surprising Cost-Effective Winner
We recently rolled out our very own GPU autoscaler in Collaboration with Genesis Cloud and it has been quite a success. Also recently, YOLOv8 by Ultralytics was unveiled, the new king of object detection, segmentation and classification. In this blogpost we’ll see that you can train a computer vision model using the ClearML/Genesis Cloud autoscaler at a fraction of the cost of competing cloud services like AWS or GCP. And it even runs 100% off of green energy! 😎
Iceberg Tables: Catalog Support Now Available
As announced at Snowflake Summit 2022, Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables.
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.
Bizview: Fast, scalable cloud planning software in a browser-based solution
Bizview, a robust, cloud-deployed and web-based budgeting and planning solution, helps organizations accelerate business growth by increasing cadences, facilitating collaboration, and simplifying processes to drive smarter decisions from more accurate data.