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A Comprehensive Guide Of Snowflake Interview Questions

Analytics Vidhya

Introduction Nowadays, organizations are looking for multiple solutions to deal with big data and related challenges. If you’re preparing for the Snowflake interview, […] The post A Comprehensive Guide Of Snowflake Interview Questions appeared first on Analytics Vidhya.

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Data Cleaning Techniques in Data Mining and Machine Learning

ProjectPro

To solve a particular business problem, we might need various features from these stored data, but using all features might not be that helpful to our business problem. Analyzing data that provides no weightage to a business problem is of no value; hence, removing irrelevant data becomes a common practice in data cleansing.

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Snowflake PARSE_DOC Meets Snowpark Power

Cloudyard

Apply advanced data cleansing and transformation logic using Python. Automate structured data insertion into Snowflake tables for downstream analytics. Use Case: Extracting Insurance Data from PDFs Imagine a scenario where an insurance company receives thousands of policy documents daily.

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11 Data Engineering Best Practices To Streamline Your Data Workflows

ProjectPro

This helps the company ensure that the data quality of the transaction data is high and the reports generated by the data pipeline are accurate. Implementing this process helps engineers identify data that doesn't match expected ranges, formats, or relationships. It's like giving the data a health check.

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From Zero to ETL Hero-A-Z Guide to Become an ETL Developer

ProjectPro

ETL Developer Roles and Responsibilities Below are the roles and responsibilities of an ETL developer: Extracting data from various sources such as databases, flat files, and APIs. SQL Proficiency in SQL for querying and manipulating data from various databases.

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Coding your First Azure Data Factory Pipeline

ProjectPro

Build Azure Data Factory Pipeline - Data Collection and Processing The data from the various sources is collected using a combination of technologies such as machine-to-machine (M2M) communication, edge computing, and cloud-based services. The data is collected in real-time and processed using Azure Data Factory.

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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics.

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