2022, Business Intelligence and Data Pipeline

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

OCTOBER 24, 2024

The analyst can easily pull in the data they need, use natural language to clean up and fill any missing data, and finally build and deploy a machine learning model that can accurately predict the loan status as an output, all without needing to become a machine learning expert to do so.

Data Warehouse

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

DECEMBER 7, 2022

December 7, 2022 - 11:16pm. December 8, 2022. Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . Allison (Ally) Witherspoon Johnston.

Tableau

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

DECEMBER 7, 2022

December 7, 2022 - 11:16pm. December 8, 2022. Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . Allison (Ally) Witherspoon Johnston.

Tableau

Tableau Data Warehouse Data Pipeline Data Visualization

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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

OCTOBER 12, 2023

Securing AI models and their access to data While AI models need flexibility to access data across a hybrid infrastructure, they also need safeguarding from tampering (unintentional or otherwise) and, especially, protected access to data. Learn more about IBM watsonx 1.

AI

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

AUGUST 1, 2023

The primary goal of Data Engineering is to transform raw data into a structured and usable format that can be easily accessed, analyzed, and interpreted by Data Scientists, analysts, and other stakeholders. Future of Data Engineering The Data Engineering market will expand from $18.2

Data Engineering

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

phData

NOVEMBER 9, 2023

In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry. This data architecture aims to solve a lot of the problems that have plagued enterprises for years. What is a Data Lake?

Data Warehouse

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How to Optimize Power BI and Snowflake for Advanced Analytics

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. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI

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Visionary Data Quality Paves the Way to Data Integrity

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Instead of moving customer data to the processing engine, we move the processing engine to the data. Simply design data pipelines, point them to the cloud environment, and execute.

Data Quality

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What is Salesforce Data Cloud for Tableau?

Tableau

DECEMBER 7, 2022

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important.

Tableau

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How to Build an End-to-End Energy Price Forecasting Solution with Snowflake

phData

JANUARY 31, 2024

Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment. Where Streamlit shines is creating interactive applications, not typical business intelligence dashboards and reporting.

Machine Learning

Machine Learning Machine Learning Python Data Scientist

Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

APRIL 12, 2023

From now on, we will launch a retraining every 3 months and, as soon as possible, will use up to 1 year of data to account for the environmental condition seasonality. When deploying this system on other assets, we will be able to reuse this automated process and use the initial training to validate our sensor data pipeline.

AWS

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Data Quality Framework: What It Is, Components, and Implementation

DagsHub

AUGUST 23, 2024

When bad data is inputted, it inevitably leads to poor outcomes. A coding error impacted credit scoring In 2022, Equifax - a major credit bureau - reported inaccurate credit scores for millions of consumers. In 2022, the company ingested bad data from one of its major customers.

Data Quality

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. Model registry.

Machine Learning

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Data Science Current

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

How does Tableau power Salesforce Genie Customer Data Cloud?

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How does Tableau power Salesforce Genie Customer Data Cloud?

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