Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. So why using IaC for Cloud Data Infrastructures? Infrastructure as Code (IaC) can be a game-changer in this scenario.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Azure 282

Azure ETL Analytics Analytics 282

Hacker News

NOVEMBER 19, 2024

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 (..)

Computer Science 156

Computer Science Computer Science ML ML 156

Pickl AI

OCTOBER 6, 2024

Summary: This blog explores the key differences between ETL and ELT, detailing their processes, advantages, and disadvantages. This blog explores the fundamental concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), two pivotal methods in modern data architectures. What is ETL?

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

MAY 20, 2019

The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure. But it’s not the only skill necessary to thrive.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Applied Data Science

AUGUST 2, 2021

The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs. They are skilled at deploying to any cloud or on-premises infrastructure.

Data Science 130

Data Science Data Scientist ML ML 130