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TigerEye (YC S22) Is Hiring a Full Stack Engineer

Hacker News

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. Specifically, your job is to create a JSON representation of an ETL pipeline which will solve the user request provided to you.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Integration and ETL (Extract, Transform, Load) Data Engineers develop and manage data pipelines that extract data from various sources, transform it into a suitable format, and load it into the destination systems.

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Data warehouse architecture

Dataconomy

In this blog post, we’ll examine what is data warehouse architecture and what exactly constitutes good data warehouse architecture as well as how you can implement one successfully without needing some kind of computer science degree!

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

It can automate extract, transform, and load (ETL) processes, so multiple long-running ETL jobs run in order and complete successfully without manual orchestration. By combining multiple Lambda functions, Step Functions allows you to create responsive serverless applications and orchestrate microservices.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. A degree in computer science, mathematics, statistics, or a related field is often preferred. They may also be involved in data modeling and database design.