Remove Data Governance Remove Healthcare Remove Relational Database Remove Structured Data
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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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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.

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The Future of Database Management in 2023

Knowledge Hut

Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. From retail giants tracking customer behavior to healthcare organizations optimizing patient care, the possibilities are endless. In this blog, we will talk about the future of database management.

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

ProjectPro

Data Warehousing - ETL tools and processes can be leveraged to load data into a data warehouse for reporting and analysis. Master Data Management - ETL processes can be leveraged to maintain a single version of truth for key data entities by enforcing data governance, consolidation, and tracking data lineage.

BI 52
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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

According to the latest report by Allied Market Research , the Big Data platform will see the biggest rise in adoption in telecommunication, healthcare, and government sectors. MongoDB: an NoSQL database with additional features. Snowflake: an evolving ecosystem for all types of data.

Hadoop 59