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How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources. Data Storage with Apache HBase : Provides scalable, high-performance storage for structured and semi-structured data.

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The Future of Database Management in 2023

Knowledge Hut

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses.

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

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Azure Data Engineer Interview Questions -Edureka

Edureka

Dynamic data masking serves several important functions in data security. It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. 24) How is ADLS Gen2 data security implemented?

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

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Power BI Developer Roles and Responsibilities [2023 Updated]

Knowledge Hut

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. What Makes a Good Power BI Developer?

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources. AWS Lake Formation architecture.