3 trends shaping the modern data stack
Industry pioneers – Fivetran CEO George Fraser, Databricks CEO Ali Ghodsi, dbt Labs CEO Tristan Handy – discuss what's next for the tooling and technologies powering data analytics and engineering.
Best Practices for Succeeding with MLOps ft. Noah Gift - MLOps Live 18
As the MLOps practice matures, there is an accumulation of stories about what works well – and what doesn’t. If you’re building up your enterprise MLOps muscle, instead of trial and error, why not tap into the collective memory of thousands of organizations who have spent the last couple of years building their MLOps practices internally and learn from their experience?
From AutoML to AutoMLOps: Automated Logging & Tracking of ML - MLOps Live #19
In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.
Simplify Metrics on Apache Druid With Rill Data and Cloudera
Co-author: Mike Godwin, Head of Marketing, Rill Data Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.
Britive Provides a Unified Access Model Across Cloud and SaaS Platforms
Because conventional privileging and permissioning solutions were designed to run within on-premises data centers, they require dedicated IT security expertise to deploy and manage. Configuring them for multi-cloud environments is simply not workable. In this episode of “Powered by Snowflake,” Daniel Myers chats with Britive’s Field CTO John Morton, who explains how Britive has taken advantage of Snowflake’s compute and data-sharing capabilities to develop a solution that gives cloud-native, cloud-focused companies a new kind of cloud access management tool–one that easily scales as businesses grow and DevOps pipelines expand.
ClearML-Data
This video covers clearml-data tool, which is meant to help you version control, share and manage your different datasets. It integrates seamlessly in the existing clearml ecosystem, so a lot of terms will feel familiar!
How Do I Enrich My Data: Data Management and ETL
Five things you need to know about how to enrich data ETL: All business decisions happen based on the data that’s available. It makes sense, then, that the more detailed that data is, the more effective those business decisions can be. That’s where data enrichment comes in. When e-commerce companies enrich data, they can improve data analysis and business intelligence and make smarter, more informed decisions.
Greater Inclusiveness and Accessibility for the Visually Impaired using Countly
Ever wondered what it would be like if we weren’t able to see all of a sudden? Being born blind and facing blindness and low vision at a later stage are very different experiences. When you first feel the loss of vision, the panic and the helplessness are real. It’s that feeling of losing something important that we took for granted. Let’s just take a moment to appreciate that we can read this all thanks to our healthy eyesight.
Futuristic Ecommerce Data Trends--Are They Within Our Reach?
Digitalization has significantly accelerated ever since the 2019 pandemic. Fortunately, Ecommerce is a flexible industry that is capable of constantly evolving with changing digital trends and global developments. Customers today use multiple devices like smartphones, laptops, and desktops, and employ all these channels to gather product information. Ecommerce businesses offer omnichannel shopping for these customers to seamlessly shop between all these devices, with multiple payment options.
Build an AI App in Under 20 Minutes
Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.