Analytics Vidhya

JULY 9, 2022

Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company’s increasingly complex workflows.

Data Pipeline 388

Data Pipeline Data Engineer Data Engineering Data Engineering 388

AWS Machine Learning Blog

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. This will provision the backend infrastructure and services that the sales analytics application will rely on.

AWS 110

AWS AI AI SQL 110

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

Power BI 84

Power BI Analytics Analytics Azure 84

AWS Machine Learning Blog

APRIL 5, 2024

This analytical model provides accurate estimates of land surface temperature (LST) at a granular level, allowing Gramener to quantify changes in the UHI effect based on parameters (names of indexes and data used). He holds a solid foundation in Client Management, Account Management within the realm of data analytics, AI & ML.

Clustering 137

Clustering ML ML AWS 137

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders.

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

phData

NOVEMBER 9, 2023

Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it. What is the Difference Between a Data Lake and a Data Warehouse? As this happens, spending shifts from ELT to analytics. Historically, there were big differences.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

phData

JANUARY 19, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Check out the API documentation for our sample.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52