ETL Tools Portfolio Unstructured Data 
Monte Carlo
OCTOBER 10, 2024
Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Tools : Familiarity with data validation tools, data wrangling tools like Pandas , and platforms such as AWS , Google Cloud , or Azure.
ProjectPro
OCTOBER 28, 2015
Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.
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Knowledge Hut
NOVEMBER 28, 2023
With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.
ProjectPro
SEPTEMBER 30, 2014
While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Thus, why not take the lead and prepare yourself to tackle any situation in the future?
ProjectPro
JANUARY 19, 2022
Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.
Knowledge Hut
MARCH 26, 2024
Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.
ProjectPro
NOVEMBER 30, 2021
Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required. It is the most feasible option when the data size is huge. For instance, specify the list of country codes allowed in a country data field.
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