Are you struggling to unlock the value of your data? Are you struggling to pick the right technologies & frameworks that will give you the maximum return on your data investment? Wednesday's expert data engineers have worked with open-source tools and cloud services. We help you pick the right technologies suited to your business and implement a data engineering pipeline that allows you to make insightful decisions. Whether you want to modernize your data strategy, speed the flow of data across your pipeline, or get more from your analytics, we can help.
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A good house needs a solid foundation, product development follows the same principles. Unlike other professions where you can touch and feel their creation, software lives on servers, and it's tough to understand whether it's written well - maintainable, scalable, resilient, and fault-tolerant.
AWS Glue Jupyter Notebook Starter
AWS Glue Jupyter Notebook Starter is a ready-to-use repository that sets you up with complete Infrastructure as Code (IaC), a Continuous Deployment (CD) pipeline, and a reusable SDK for AWS Glue projects. Skip the boilerplate and jump straight into AWS Glue development with a local Jupyter Notebook environment. One command deploys the entire AWS Glue stack, from S3 buckets to IAM roles, getting you up and running in no time. This is the perfect data engineering starter kit.
Data Engineering Onboarding
Data Engineering Onboarding is a 10-step starter kit with IaC, CD pipeline, and SDK for AWS Glue. Skip the setup grind; this starter kit gets you straight into hands-on data engineering with AWS Glue and PySpark. Clone the repo, run a few commands, and you're set with a fully configured AWS Glue environment for local development.
Find PMF faster with AI-native sprints, leaner teams, and 3x more experiments, before your runway runs out, using AI-powered product engineering.
No theory. Just moves that unlock fit sooner.
