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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 320
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Our PGDay Chicago 2023 Event Recap

Datavail

During my session, I discussed the myth that once databases are moved to a cloud provider, the company won’t need their database administration (DBA) team. Many people mistakenly believe that when they move their databases to a cloud provider, they don’t need a database administrative (DBA) team.

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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.

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Business intelligence tools overview: end-to-end BI solutions, ETL tools and libraries, data warehouses, data visualization libraries

Altexsoft

Microsoft Power BI has a whole lot of data source connectors: databases (IBM Netezza, MySQL, Teradata, PostgreSQL, etc.). data warehouses (SAP Business Warehouse Server, Snowflake, Google BigQuery, Redshift, etc.). Microsoft Azure services. It connects with both on-premises and cloud data sources via REST APIs.

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

Altexsoft

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Hadoop, Apache Spark).