$15,000
In this 1-2 week Proof of Concept, BlueGranite experts will work with your organization to demonstrate Azure Databricks capabilities for data engineering, data science, and more.
Is your organization deploying Azure Databricks? Azure Databricks is an exciting new service in Azure for data engineering, data science, and AI. Built on Apache Spark, Azure Databricks is capable of processing and modeling data of all sizes and shapes, and it integrates seamlessly with other services in Azure. It provides a collaborative environment where data scientists, data engineers, and data analysts can work together in a secure interactive workspace.
By combining use-case exploration with deployment and configuration in your environment, we will set you and your team up for success with the tool.
This expertly designed framework will give your organization the tools and knowledge needed to take full advantage of the Azure Databricks platform. Contact us today to learn more!
Data Engineering Solution Goals:
- Use Azure Databricks to explore and transform raw data into meaningful insights
- Schedule jobs to process data
- Visualize processed data using Power BI and other tools
Data Science Solution Goals:
- Use Azure Databricks to explore, prepare, and model data
- Use Azure Databricks to make predictions on new data
- Visualize data and models using Power BI and other tools
Cost is dependent upon travel time and consulting hours requested depending on the needs of your organization.

$10,000.00
The cloud can be a daunting endeavor. Start your cloud journey with a foundational cloud transformation plan with Steeves and Associates.
Start your cloud journey with a foundational cloud transformation plan with Steeves and Associates that can:
(1) A diagnosis and alignment where cloud services and infrastructure can propel your organization forward.
(2)...
“类比” 是人类社会与生俱来的本能。
每当遇到新情境时,人类会寻求迅速剥离无关紧要的部分,透过事件表象看本质。这是一种人类无法抑制的心理条件反射。
以 < 图 1 > 代表性产品从上市到发展一亿用户需要多少时间为例,受众会条件反射般认为,ChatGPT 的潜力会比 WeChat、Tiktok、Facebook 大得多。
但实际上,ChatGPT 用户停滞增长许久了(OpenAI 最近又进一步免去用户注册要求,看能否再激活一下增长)。
< 图 2 > 代表性企业在前三年的收入,受众很容易得出结论:OpenAI 的收入变现要比 Google、Amazon、Facebook 好很多。
但实际上,整个生成式 AI 在今年会面临严峻的 “进一步的收入从哪里来的” 问题。而 Google、Amazon、Facebook...
华尔街日报基于国家统计局的数据绘制了一张图,显示了零售领域不同商品的销售额增长情况。
相对靠左侧的数据是 2020 年前六个月对比去年的增幅,后者为仅第六月对比去年的增幅。
可以看到前者基本为负数,后者大部分已转正,甚至达到近 20% 的增幅,有些报复性消费的感觉。 排名前几名的是:化妆品、饮料、通信终端、日用品和烟酒。
