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PostgreSQL DBA

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1.4K views02:51

https://www.ibm.com/blog/disaster-recovery-planning-with-ibm-cloud-databases-for-postgresql/

Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.

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https://www.projectpro.io/article/how-to-design-a-data-warehouse/825

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https://medium.com/@razi_chaudhry/developing-a-big-data-strategy-637c0fa120b0

Developing a Big Data Strategy

Developing big data strategy and modern data visualization, building data sciences like simulation, regression & correlation, trending &…

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https://youtu.be/nGAG5kqlM5E

Introduction to Big Data Techniques

Introduction to Big Data Techniques (2025 CFA® Level I Exam – Quantitative Methods – LM 11)

Prep Packages for the CFA® Program offered by AnalystPrep (study notes, video lessons, question bank, mock exams, and much more):
Levels I, II & III (Lifetime access): https://analystprep.com/shop/cfa-unlimited-package-for-level-1-2-3/

Level I: https://…

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https://www.youtube.com/watch?v=KCEPoPJ8sWw

Big Data Full Course 2022 | Big Data Tutorial For Beginners

Big Data Full Course 2022 | Big Data Tutorial For Beginners | Big Data Step By Step | Simplilearn

🔥 Cloud Architect Masters Program - https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=KCEPoPJ8sWw&utm_medium=DescriptionFFF&utm_source=Youtube
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https://www.youtube.com/watch?v=3v7NhwhXIyE

Data Preparation | Data Journey | 7 Challenges of Big Data Analytics

Episode 2 | Data Preparation | Data Journey | 7 Challenges of Big Data Analytics

Data preparation issues, particularly at scale, can be solved. How? Thomas Hazel explains in episode 2 of our binge-worthy #datajourney series.

#reInvent #KnowBetter #RoadtoreInvent #DataJourney #DevOps #SRE #DataEngineers #DataScientists #datapipelines…

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https://www.youtube.com/watch?v=TAtfkrjtAYM

Journey to data insight | Four principles to guide you

Journey to data insight | Four principles to guide you

Do you question if your visualizations lead to actionable decisions? Do you struggle with helping users who are tantalized by pretty visuals but missing inspiring insights? Do your users change what they want on a regular basis?
Hear a Tableau Zen Master…

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https://www.netsuite.com/portal/resource/articles/data-warehouse/data-lake.shtml

Oracle NetSuite

Data Lake Defined

A look at how data lakes let businesses store and analyze all unstructured and structured big data.

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https://wiki.postgresql.org/wiki/PostgreSQL_derived_databases

A list of PostgreSQL derived forks and rebranded distributions in alphabetical order.

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To Understand The Fork process will run different ID with the same Postmaster ID

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The postmaster ID will be assigned once the cluster is started based on this ID other background processes will starts and running on different ID with the same parent ID. This postmaster ID will changes when the cluster is stop and starts.

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https://www.youtube.com/watch?v=sP5nbdNxaQc

A PostgreSQL fork for horizontal scalability

PGConf India 2024 - A PostgreSQL fork for horizontal scalability: by Franck Pachot (Yugabyte)

PGConf India 2024 - A PostgreSQL fork for horizontal scalability: YugabyteDB by Franck Pachot (Yugabyte)

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https://akashcsharma.medium.com/demystifying-database-internals-part-2-deep-dive-into-storage-engine-of-dbms-episode-i-paging-2f748a078d22

Deep dive into Storage Engine of DBMS Episode I(Paging, Buffer Pool Manager, Write Ahead Log)

Deep dive into Storage Engine of DBMS Episode I(Paging, Buffer Pool Manager, Write Ahead Log)

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https://akashcsharma.medium.com/demystifying-database-internals-part-2-deep-dive-into-storage-engine-of-dbms-episode-ii-query-4f9d6ba35670

Deep dive into Storage Engine of DBMS Episode II(Query Planning/ Optimization, Execution, Transaction Manager, Lock Manager, Concurrency…

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https://www.linkedin.com/pulse/understanding-data-corruption-postgresql-shyam-kumar-9kvwc

Understanding Data Corruption in PostgreSQL

Understanding Data Corruption in PostgreSQL

Data corruption is a real challenge in any technical environment. Imperfections in technical equipment can lead to data damage, whether in memory, on disk, or during transfer via interface cables.

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