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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 312
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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Savings opportunity on AWS.

Storage 95
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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. machine learning and deep learning models; and business intelligence tools. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development.

Data 87
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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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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Data Science and machine learning workloads using CDSW.

Cloud 132
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Data Summit 2023 Event Recap

Datavail

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. He noted that over the last few years, advances in technology have had a major impact on database administrator roles and responsibilities.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. relational database,” “Oracle database solutions,” “Hive,” “database administration,” “data models,” “Spark”—declined in usage, year-over-year, in 2019.