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.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

JANUARY 30, 2024

Database Queries: When dealing with structured data stored in databases, SQL queries are instrumental for data extraction. SQL queries enable the retrieval of specific data subsets or the aggregation of information from multiple tables. The ETL process encompasses three fundamental stages: 1.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Knowledge Hut

APRIL 19, 2023

It supports various data sources and formats. Talend: A commercial ETL tool that supports batch and real-time data integration.It provides connectors for data sources and symbols, as well as a visual interface for designing ETL pipelines.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

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.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools.

Scala 64

Scala Data Lake BI Google Cloud 64