Knowledge Hut
MARCH 28, 2024
Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Develop predictive models and data-driven solutions to address business challenges.
Knowledge Hut
JANUARY 30, 2024
Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. This can involve SQL queries or ETL (Extract, Transform, Load) processes. The ETL process encompasses three fundamental stages: 1.
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Knowledge Hut
JANUARY 29, 2024
Google DataPrep: A data service provided by Google that explores, cleans, and prepares data, offering a user-friendly approach. Data Wrangler: Another data cleaning and transformation tool, offering flexibility in data preparation.
Knowledge Hut
MAY 9, 2024
Highest Paying Data Science Job Titles Studies suggest the data scientists' employment rate will surge to 36% by 2031. While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. 49% of the job ads on LinkedIn are in the Tech and IT industry.
AltexSoft
OCTOBER 30, 2021
A data scientist takes part in almost all stages of a machine learning project by making important decisions and configuring the model. Data preparation and cleaning. Final analytics are only as good and accurate as the data they use. Data warehousing. Deploying machine learning models. Machine learning techniques.
Knowledge Hut
APRIL 19, 2023
Identify source systems and potential problems such as data quality, data volume, or compatibility issues. Step 2: Extract data: extracts the necessary data from the source system. This API may include using SQL queries or other data mining tools. It supports various data sources and formats.
DataKitchen
FEBRUARY 21, 2023
Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.” The key element of Gartner’s advice is simple, don’t hire a bunch more people into your team. A better ETL tool?
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