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.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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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.
The Licensing and Pricing Model Associated with FinOps Tools
Cloud cost management tools help organizations get better value from their cloud investments by reducing wasted cloud spend. Cloud cost management tools can broadly be categorized into two types.
Four Issues Killing your Software Development Lifecycle
With many options to modernize tech stacks and improve developer UX, it’s hard to know where to start. Consider starting with your Software Development Life Cycle. There are a number of opportunities that can provide quick wins for a development team without disrupting productivity and release cycles while saving money and improving developer experience and deployment times.
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.
Memory Anomaly Detection in N|Solid [5/10] The best APM for Node, layer by layer
Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. Understanding memory management reduces the possibility of wasting your application's resources and the unexpected effects on performance. According to Sergey Kibish, Anomalies can be illustrated in a simple two-dimensional space.
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.
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!