AWS Cost Explorer
Amazon CloudWatch
AWS Budgets
Azure Cost Management
CloudHealth
Cloudability
Nutanix Beam
Turbonomic
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
AWS Cost Explorer DatabricksNo AWS Cost Explorer videos yet. You could help us improve this page by suggesting one.
AWS Cost Explorer might be a bit more popular than Databricks. We know about 21 links to it since March 2021 and only 17 links to Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When managing your cloud finances, following a budget plan is crucial to ensure you spend your money wisely. Utilize tools such as AWS Cost Explorer or third-party services such as Anodot to gain insights into your spending patterns, focusing on the costs associated with each team or service. - Source: dev.to / 3 months ago
Get comfortable with using Cost Explorer - when costs spike it's important to understand how to drill down into costs. - Source: dev.to / 6 months ago
Once the EC2 migration is complete, review IPV4 address usage using VPC IP Address Manager And AWS Billing Cost Explorer (group By API to see EC2 networking costs). - Source: dev.to / 7 months ago
AWS quite literally has a Cost Explorer service , several articles on how to reduce costs, and support tiers that literally include working with Amazon on usage guidance. Source: about 1 year ago
AWS Cost Explorer: This tool allows you to visualize, understand, and manage your AWS costs and usage. Source: over 1 year ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
AWS Budgets - Cloud Cost Management
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Azure Cost Management - Monitor, allocate, and optimize cloud costs with transparency, accuracy, and efficiency using Azure Cost Management.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
