Coursera intro to data engineering

0dayddl

U P L O A D E R
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2.62 GB | 00:10:36 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
01 welcome-to-data-engineering (96.41 MB)
04 course-1-overview (47.23 MB)
05 data-engineering-defined (31.19 MB)
06 optional-a-brief-history-of-data-engineering (42.58 MB)
07 the-data-engineer-among-other-stakeholders (29.03 MB)
08 optional-business-value (46.03 MB)
09 system-requirements (19.58 MB)
10 optional-conversation-with-sol-rashidi (175.34 MB)
11 optional-conversation-with-jordan-morrow (81.45 MB)
12 requirements-gathering-conversation (232.12 MB)
13 translate-stakeholder-needs-into-specific-requirements (33.33 MB)
14 thinking-like-a-data-engineer (27.53 MB)
01 data-engineering-on-the-cloud (21.16 MB)
02 meet-morgan-willis (56.86 MB)
03 intro-to-the-aws-cloud (32.78 MB)
05 intro-to-aws-core-services (50.54 MB)
10 walkthrough-of-the-aws-management-console (43.78 MB)
01 week-1-summary (16.26 MB)
01 week-2-overview (8.95 MB)
02 data-generation-in-source-systems (23.81 MB)
03 ingestion (22.03 MB)
04 storage (31.8 MB)
05 queries-modeling-and-transformation (23.15 MB)
06 serving-data (18.42 MB)
01 introduction-to-the-undercurrents (11.37 MB)
02 security (24.8 MB)
03 data-management (23.61 MB)
04 data-architecture (30.77 MB)
05 dataops (31.86 MB)
06 orchestration (30.08 MB)
07 software-engineering (27.4 MB)
01 lesson-intro (10.53 MB)
02 the-data-engineering-lifecycle-on-aws (17.83 MB)
03 the-undercurrents-on-aws (16.41 MB)
05 lab-walkthrough-introduction-to-the-lab (13.01 MB)
06 lab-walkthrough-setting-up-the-lab (16.57 MB)
07 lab-walkthrough-preview-of-the-lab-content (27.16 MB)
01 week-2-summary (8.63 MB)
01 week-3-overview (6.4 MB)
02 what-is-data-architecture (31.07 MB)
03 optional-conways-law (16.77 MB)
04 principles-of-good-data-architecture (11.09 MB)
05 always-architecting (12.52 MB)
06 when-your-systems-fail (27.49 MB)
07 batch-architectures (20.78 MB)
08 streaming-architectures (28.58 MB)
09 architecting-for-compliance (23.47 MB)
01 choosing-tools-and-technologies (14.21 MB)
02 location (14.19 MB)
03 monolith-vs-modular-systems (24.84 MB)
04 cost-optimization-and-business-value (27.54 MB)
05 build-vs-buy (22.21 MB)
06 server-container-and-serverless-compute-options (19.53 MB)
07 how-the-undercurrents-impact-your-decisions (16.88 MB)
01 intro-to-the-aws-well-architected-framework (9.35 MB)
02 the-aws-well-architected-framework (38.46 MB)
03 lab-walkthrough-introduction-to-the-lab (9.98 MB)
04 lab-walkthrough-monitoring-the-web-app (18.03 MB)
05 lab-walkthrough-applying-the-principles-of-good-data-architecture (45.48 MB)
01 week-3-summary (4.7 MB)
01 week-4-overview (10.08 MB)
02 requirements (22.37 MB)
03 conversation-with-matt-housley (82.8 MB)
04 conversation-with-the-cto (97.53 MB)
05 conversation-with-marketing (133.95 MB)
06 breaking-down-the-conversation-with-marketing (19.4 MB)
07 conversation-with-the-software-engineer (144.28 MB)
08 documenting-nonfunctional-requirements (24.21 MB)
09 requirements-gathering-summary (20.33 MB)
01 requirements-gathering-exercise (12.97 MB)
02 follow-up-conversation-with-the-data-scientist (43.06 MB)
06 aws-services-for-batch-pipelines (38.04 MB)
07 aws-services-for-streaming-pipelines (25.12 MB)
09 lab-walkthrough-implementing-the-batch-pipeline (18.84 MB)
10 lab-walkthrough-setting-up-the-vector-database (15.58 MB)
11 lab-walkthrough-implementing-the-streaming-pipeline (13.13 MB)
01 course-1-summary (15.52 MB)

Screenshot
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Code:
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