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Airflow for Orchestrating REST API Applications

Analytics Vidhya

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.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

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!

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Big Data – Lambda or Kappa Architecture?

Data Science Blog

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

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Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

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.

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Gryphon Invests in phData

phData

About phData phData, one of the largest pure-play data engineering companies globally, is certified as a Snowflake Elite Services Partner and an AWS Advanced Consulting Partner. Specializing in AI and data applications, phData offers services including data engineering, AI & machine learning , and analytics & visualization.

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Analyzing the history of Tableau innovation

Tableau

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

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.