Data Architecture Hadoop NoSQL 
Monte Carlo
OCTOBER 31, 2024
Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts.
Towards Data Science
JANUARY 16, 2024
When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. New data formats emerged — JSON, Avro, Parquet, XML etc.
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ProjectPro
NOVEMBER 14, 2015
Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.
Cloudera
SEPTEMBER 24, 2021
Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ . Data governance was completely balkanized, if it existed at all.
Knowledge Hut
DECEMBER 26, 2023
Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation.
AltexSoft
FEBRUARY 11, 2023
This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.
AltexSoft
OCTOBER 30, 2021
Data scientists use different programming tools to extract data, build models, and create visualizations. Expected to be somewhat versed in data engineering, they are familiar with SQL, Hadoop, and Apache Spark. An overview of data engineer skills. Data warehousing. Machine learning techniques. Programming.
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