LinkedIn Learning Master Data Engineering Complete 7 Courses

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Files

1. Ex_Files_Advanced_Snowflake.zip1.2 GB
2. 2. Solution Capstone project.mp438.7 MB
3. Ex_Files_Apache_Kafka_EssT.zip26.1 KB
4. 1. Building robust Kafka applications.mp43.4 MB
5. 1. Building robust Kafka applications.srt1.1 KB
6. 1. What is Kafka.mp42.6 MB
7. 1. What is Kafka.srt2.9 KB
8. 2. Prerequisites for the course.mp41.8 MB
9. 2. Prerequisites for the course.srt2.1 KB
10. 3. Kafka scaling and resiliency.mp42.5 MB
11. 3. Kafka scaling and resiliency.srt3.1 KB
12. 4. Setting up the exercise files.mp43.3 MB
13. 4. Setting up the exercise files.srt2.6 KB
14. 1. A Kafka cluster.mp43.1 MB
15. 1. A Kafka cluster.srt3.5 KB
16. 2. Kafka controllers.mp42.7 MB
17. 2. Kafka controllers.srt2.8 KB
18. 3. Replication.mp44.3 MB
19. 3. Replication.srt4.7 KB
20. 4. Partition leaders.mp45.0 MB
21. 4. Partition leaders.srt5.8 KB
22. 5. Security.mp42.1 MB
23. 5. Security.srt2.3 KB
24. 1. Kafka cluster setup.mp49.1 MB
25. 1. Kafka cluster setup.srt7.2 KB
26. 2. Running the cluster.mp44.3 MB
27. 2. Running the cluster.srt3.4 KB
28. 3. Creating topics with replication.mp44.8 MB
29. 3. Creating topics with replication.srt3.7 KB
30. 4. Kafka clusters in action.mp49.0 MB
31. 4. Kafka clusters in action.srt5.7 KB
32. 5. Kafka resiliency in action.mp49.5 MB
33. 5. Kafka resiliency in action.srt7.4 KB
34. 1. Producer internals.mp43.3 MB
35. 1. Producer internals.srt4.1 KB
36. 2. Producer publishing options.mp44.6 MB
37. 2. Producer publishing options.srt5.1 KB
38. 3. Acknowledgments in Kafka.mp43.4 MB
39. 3. Acknowledgments in Kafka.srt3.9 KB
40. 4. Additional producer parameters.mp42.7 MB
41. 4. Additional producer parameters.srt2.9 KB
42. 5. Java producer options example.mp49.8 MB
43. 5. Java producer options example.srt5.4 KB
44. 1. How consumer works.mp43.3 MB
45. 1. How consumer works.srt3.6 KB
46. 2. Batching message consumption.mp43.7 MB
47. 2. Batching message consumption.srt4.0 KB
48. 3. Committing messages.mp43.7 MB
49. 3. Committing messages.srt4.7 KB
50. 4. Java consumer example.mp47.4 MB
51. 4. Java consumer example.srt4.8 KB
52. 5. Multi-threaded consumers.mp49.1 MB
53. 5. Multi-threaded consumers.srt6.3 KB
54. 1. Managing partition counts.mp43.5 MB
55. 1. Managing partition counts.srt4.3 KB
56. 2. Managing messages.mp41.8 MB
57. 2. Managing messages.srt2.1 KB
58. 3. Managing consumer settings.mp41.8 MB
59. 3. Managing consumer settings.srt2.1 KB
60. 4. Managing resiliency.mp41.9 MB
61. 4. Managing resiliency.srt2.3 KB
62. 1. Kafka applications use case Problem definition.mp42.1 MB
63. 1. Kafka applications use case Problem definition.srt2.4 KB
64. 2. Setting up topics.mp41.0 MB
65. 2. Setting up topics.srt774 bytes
66. 3. Producing data in Java.mp44.0 MB
67. 3. Producing data in Java.srt1.8 KB
68. 4. Consuming data in Java.mp44.4 MB
69. 4. Consuming data in Java.srt2.0 KB
70. 1. How do you extend your Kafka learning journey.mp41.0 MB
71. 1. How do you extend your Kafka learning journey.srt1.1 KB
72. description.html960 bytes
73. Ex_Files_Troubleshooting_Debugging_Kafka.zip59.2 KB
74. 1. Overview of troubleshooting and debugging Kafka.mp46.3 MB
75. 1. Overview of troubleshooting and debugging Kafka.srt6.6 KB
76. 1. Prerequisites.mp41.3 MB
77. 1. Prerequisites.srt1.5 KB
78. 2. An overview of Apache Kafka.mp43.6 MB
79. 2. An overview of Apache Kafka.srt3.6 KB
80. 3. The Confluent platform.mp48.7 MB
81. 3. The Confluent platform.srt8.1 KB
82. 4. Downloading the Confluent platform binaries.mp410.0 MB
83. 4. Downloading the Confluent platform binaries.srt6.2 KB
84. 5. Running the Confluent platform locally.mp46.6 MB
85. 5. Running the Confluent platform locally.srt7.1 KB
86. 6. Overview of the control center.mp413.0 MB
87. 6. Overview of the control center.srt11.7 KB
88. 1. Observing message production and consumption.mp48.2 MB
89. 1. Observing message production and consumption.srt8.5 KB
90. 2. Produce messages using the control center.mp48.0 MB
91. 2. Produce messages using the control center.srt6.9 KB
92. 3. Using datagen to generate synthetic data.mp46.2 MB
93. 3. Using datagen to generate synthetic data.srt6.2 KB
94. 4. Observing consumers.mp412.9 MB
95. 4. Observing consumers.srt9.0 KB
96. 1. Understanding ksqlDB.mp43.8 MB
97. 1. Understanding ksqlDB.srt3.7 KB
98. 2. Creating streams and tables using ksqlDB.mp413.1 MB
99. 2. Creating streams and tables using ksqlDB.srt12.6 KB
100. 3. Performing join and windowing operations.mp49.4 MB
101. 3. Performing join and windowing operations.srt7.5 KB
102. 4. Viewing streams and tables.mp43.0 MB
103. 4. Viewing streams and tables.srt2.6 KB
104. 1. Programmatically produce messages using Python.mp415.1 MB
105. 1. Programmatically produce messages using Python.srt11.3 KB
106. 2. Troubleshooting partition usage.mp411.8 MB
107. 2. Troubleshooting partition usage.srt6.9 KB
108. 3. Consumer groups.mp43.4 MB
109. 3. Consumer groups.srt3.6 KB
110. 4. Monitoring consumption in a consumer group.mp411.0 MB
111. 4. Monitoring consumption in a consumer group.srt9.0 KB
112. 5. Debugging consumption lag.mp48.0 MB
113. 5. Debugging consumption lag.srt5.0 KB
114. 6. Monitoring consumer group rebalancing.mp413.2 MB
115. 6. Monitoring consumer group rebalancing.srt8.4 KB
116. 1. Configuration properties for a multi-broker cluster.mp422.3 MB
117. 1. Configuration properties for a multi-broker cluster.srt11.0 KB
118. 2. Running a multi-broker cluster on the Confluent platform.mp412.6 MB
119. 2. Running a multi-broker cluster on the Confluent platform.srt5.5 KB
120. 3. Monitoring brokers.mp43.7 MB
121. 3. Monitoring brokers.srt3.6 KB
122. 4. Observing partitions and replication.mp44.6 MB
123. 4. Observing partitions and replication.srt4.3 KB
124. 5. Monitoring broker throughput and latency.mp413.3 MB
125. 5. Monitoring broker throughput and latency.srt10.7 KB
126. 1. Debugging failed brokers, part 1.mp412.0 MB
127. 1. Debugging failed brokers, part 1.srt7.5 KB
128. 2. Debugging failed brokers, part 2.mp410.4 MB
129. 2. Debugging failed brokers, part 2.srt5.5 KB
130. 3. Debugging slow consumers.mp47.1 MB
131. 3. Debugging slow consumers.srt5.4 KB
132. 1. Configuring alerts.mp48.5 MB
133. 1. Configuring alerts.srt8.0 KB
134. 2. Configuring email settings for alerts.mp414.6 MB
135. 2. Configuring email settings for alerts.srt9.2 KB
136. 1. Summary and next steps.mp43.4 MB
137. 1. Summary and next steps.srt3.7 KB
138. description.html1.3 KB
139. Ex_Files_Tuning_Kafka.zip71.1 KB
140. 1. Tuning Kafka.mp45.2 MB
141. 1. Tuning Kafka.srt6.4 KB
142. 1. Prerequisites.mp41.5 MB
143. 1. Prerequisites.srt1.9 KB
144. 2. An overview of Kafka.mp49.4 MB
145. 2. An overview of Kafka.srt9.7 KB
146. 3. Producers and consumers.mp46.0 MB
147. 3. Producers and consumers.srt6.1 KB
148. 4. Kafka optimization theorem.mp49.9 MB
149. 4. Kafka optimization theorem.srt10.7 KB
150. 5. End-to-end latency in Kafka.mp43.8 MB
151. 5. End-to-end latency in Kafka.srt4.2 KB
152. 6. Install and set up Apache Kafka.mp48.0 MB
153. 6. Install and set up Apache Kafka.srt6.1 KB
154. 7. Publish and consume messages using console scripts.mp43.8 MB
155. 7. Publish and consume messages using console scripts.srt5.2 KB
156. 1. Running a Kafka cluster with three brokers.mp416.6 MB
157. 1. Running a Kafka cluster with three brokers.srt9.6 KB
158. 2. Running basic producer performance tests.mp415.6 MB
159. 2. Running basic producer performance tests.srt11.3 KB
160. 3. Effects of partitioning on producers.mp413.5 MB
161. 3. Effects of partitioning on producers.srt11.4 KB
162. 4. Effects of replication on producers.mp48.9 MB
163. 4. Effects of replication on producers.srt6.5 KB
164. 5. Tuning producer acks.mp413.1 MB
165. 5. Tuning producer acks.srt11.3 KB
166. 6. Tuning producer compression.mp414.5 MB
167. 6. Tuning producer compression.srt11.2 KB
168. 7. Tuning batch size and linger time.mp49.7 MB
169. 7. Tuning batch size and linger time.srt8.6 KB
170. 8. Effect of message size and record count.mp415.3 MB
171. 8. Effect of message size and record count.srt9.7 KB
172. 1. Running a basic consumer performance test.mp411.4 MB
173. 1. Running a basic consumer performance test.srt7.7 KB
174. 2. Tuning fetch bytes and wait time for consumers.mp414.5 MB
175. 2. Tuning fetch bytes and wait time for consumers.srt11.3 KB
176. 3. Tuning session timeout and heartbeat interval.mp47.8 MB
177. 3. Tuning session timeout and heartbeat interval.srt5.1 KB
178. 4. Tuning max poll interval and max poll records.mp49.7 MB
179. 4. Tuning max poll interval and max poll records.srt5.6 KB
180. 1. End-to-end latency with replication.mp415.2 MB
181. 1. End-to-end latency with replication.srt10.0 KB
182. 2. Tuning throughput.mp415.7 MB
183. 2. Tuning throughput.srt9.2 KB
184. 3. Tuning log retention.mp410.5 MB
185. 3. Tuning log retention.srt5.8 KB
186. 1. Producer performance testing using Python.mp48.8 MB
187. 1. Producer performance testing using Python.srt8.3 KB
188. 2. Consumer perf testing using Python.mp46.5 MB
189. 2. Consumer perf testing using Python.srt5.3 KB
190. 1. Summary and next steps.mp41.3 MB
191. 1. Summary and next steps.srt1.6 KB
192. description.html1.2 KB
193. 1. Architecting big data applications.mp41.9 MB
194. 1. Architecting big data applications.srt1.0 KB
195. 1. Characteristics of batch processing.mp42.9 MB
196. 1. Characteristics of batch processing.srt2.7 KB
197. 2. Challenges building batch applications.mp41.8 MB
198. 2. Challenges building batch applications.srt2.0 KB
199. 3. Technologies for batch big data engineering.mp43.4 MB
200. 3. Technologies for batch big data engineering.srt3.0 KB
201. 4. Use cases for batch big data.mp43.3 MB
202. 4. Use cases for batch big data.srt3.3 KB
203. 5. Architecture process for data engineering.mp44.0 MB
204. 5. Architecture process for data engineering.srt3.3 KB
205. 1. Making the choice Real-time vs. batch.mp46.4 MB
206. 1. Making the choice Real-time vs. batch.srt5.5 KB
207. 2. Horizontal scaling.mp46.6 MB
208. 2. Horizontal scaling.srt6.2 KB
209. 3. Distributed processing.mp43.5 MB
210. 3. Distributed processing.srt3.1 KB
211. 4. Technology selection.mp46.5 MB
212. 4. Technology selection.srt6.6 KB
213. 5. Technology integrations.mp43.6 MB
214. 5. Technology integrations.srt3.1 KB
215. 1. Schedule selection.mp44.4 MB
216. 1. Schedule selection.srt4.0 KB
217. 2. Minimizing data volumes.mp44.4 MB
218. 2. Minimizing data volumes.srt4.3 KB
219. 3. Uniform load distribution.mp46.1 MB
220. 3. Uniform load distribution.srt5.7 KB
221. 4. Using caches.mp43.1 MB
222. 4. Using caches.srt3.0 KB
223. 5. Reprocessing.mp43.6 MB
224. 5. Reprocessing.srt3.3 KB
225. 1. Audit trail Define the problem.mp44.6 MB
226. 1. Audit trail Define the problem.srt3.7 KB
227. 2. Audit trail Study requirements.mp44.9 MB
228. 2. Audit trail Study requirements.srt5.3 KB
229. 3. Audit trail Create a workflow.mp42.7 MB
230. 3. Audit trail Create a workflow.srt2.9 KB
231. 4. Audit trail Scale the workflow.mp43.7 MB
232. 4. Audit trail Scale the workflow.srt3.7 KB
233. 5. Audit trail Select technologies.mp46.9 MB
234. 5. Audit trail Select technologies.srt6.5 KB
235. 6. Audit trail Review final architecture.mp43.1 MB
236. 6. Audit trail Review final architecture.srt2.7 KB
237. 1. Advertising analytics Define the problem.mp44.3 MB
238. 1. Advertising analytics Define the problem.srt3.8 KB
239. 2. Advertising analytics Study requirements.mp44.8 MB
240. 2. Advertising analytics Study requirements.srt4.5 KB
241. 3. Advertising analytics Create a workflow.mp42.9 MB
242. 3. Advertising analytics Create a workflow.srt2.9 KB
243. 4. Advertising analytics Scale the workflow.mp44.6 MB
244. 4. Advertising analytics Scale the workflow.srt4.3 KB
245. 5. Advertising analytics Select technologies.mp47.3 MB
246. 5. Advertising analytics Select technologies.srt6.9 KB
247. 6. Advertising analytics Review final architecture.mp42.2 MB
248. 6. Advertising analytics Review final architecture.srt2.0 KB
249. 1. Product recommendations Define the problem.mp43.3 MB
250. 1. Product recommendations Define the problem.srt3.2 KB
251. 2. Product recommendations Study requirements.mp44.6 MB
252. 2. Product recommendations Study requirements.srt4.4 KB
253. 3. Product recommendations Create a workflow.mp42.1 MB
254. 3. Product recommendations Create a workflow.srt2.2 KB
255. 4. Product recommendations Scale the workflow.mp44.7 MB
256. 4. Product recommendations Scale the workflow.srt4.3 KB
257. 5. Product recommendations Select technologies.mp46.3 MB
258. 5. Product recommendations Select technologies.srt6.0 KB
259. 6. Product recommendations Review the final architecture.mp42.5 MB
260. 6. Product recommendations Review the final architecture.srt2.2 KB
261. 1. Continuing to architect big data applications.mp41.8 MB
262. 1. Continuing to architect big data applications.srt1012 bytes
263. description.html1.1 KB
264. Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip442.6 KB
265. 1. Welcome to the course.mp41.2 MB
266. 1. Welcome to the course.srt921 bytes
267. 2. What you should know.mp41.7 MB
268. 2. What you should know.srt2.0 KB
269. 3. CoderPad tour.mp43.6 MB
270. 3. CoderPad tour.srt2.8 KB
271. 1. Introduction to Python and data engineering.mp45.4 MB
272. 1. Introduction to Python and data engineering.srt4.1 KB
273. 2. Setting up your Python environment.mp45.1 MB
274. 2. Setting up your Python environment.srt3.7 KB
275. 3. Explore a Google Colab worksheet.mp47.5 MB
276. 3. Explore a Google Colab worksheet.srt6.0 KB
277. 4. Variables and data types.mp48.3 MB
278. 4. Variables and data types.srt7.8 KB
279. 5. Operators and expressions.mp411.5 MB
280. 5. Operators and expressions.srt8.5 KB
281. 6. Control structures.mp49.8 MB
282. 6. Control structures.srt8.8 KB
283. 7. Functions.mp410.6 MB
284. 7. Functions.srt8.6 KB
285. 8. Modules and packages.mp49.0 MB
286. 8. Modules and packages.srt6.7 KB
287. 9. String manipulation.mp413.8 MB
288. 9. String manipulation.srt10.1 KB
289. 10. Error handling.mp49.4 MB
290. 10. Error handling.srt6.6 KB
291. 11. Solution String Manipulation.mp42.3 MB
292. 11. Solution String Manipulation.srt1.8 KB
293. 1. Collection overview.mp43.8 MB
294. 1. Collection overview.srt2.9 KB
295. 2. Python collections Tuples.mp410.0 MB
296. 2. Python collections Tuples.srt7.3 KB
297. 3. Python collections Lists.mp410.1 MB
298. 3. Python collections Lists.srt6.4 KB
299. 4. Python collections Sets.mp48.3 MB
300. 4. Python collections Sets.srt5.2 KB
301. 5. Python collections Dictionaries.mp414.1 MB
302. 5. Python collections Dictionaries.srt8.6 KB
303. 6. Solution Analyze list.mp41.8 MB
304. 6. Solution Analyze list.srt1.5 KB
305. 1. File IO overview.mp44.5 MB
306. 1. File IO overview.srt2.9 KB
307. 2. Working with CSV files.mp414.6 MB
308. 2. Working with CSV files.srt7.1 KB
309. 3. Working with JSON files.mp49.7 MB
310. 3. Working with JSON files.srt6.6 KB
311. 4. Solution ReadWrite text to file.mp44.5 MB
312. 4. Solution ReadWrite text to file.srt3.5 KB
313. 1. Introduction to pandas.mp46.0 MB
314. 1. Introduction to pandas.srt4.1 KB
315. 2. Read files as DataFrames.mp413.4 MB
316. 2. Read files as DataFrames.srt7.7 KB
317. 3. Data cleaning and preprocessing.mp417.8 MB
318. 3. Data cleaning and preprocessing.srt8.1 KB
319. 4. Data manipulation and aggregation.mp412.7 MB
320. 4. Data manipulation and aggregation.srt7.1 KB
321. 5. Data visualization.mp411.7 MB
322. 5. Data visualization.srt6.4 KB
323. 6. Write DataFrames as files.mp49.0 MB
324. 6. Write DataFrames as files.srt4.4 KB
325. 7. Solution Play with pandas.mp42.8 MB
326. 7. Solution Play with pandas.srt2.2 KB
327. 1. Introduction to NumPy.mp46.1 MB
328. 1. Introduction to NumPy.srt4.1 KB
329. 2. Array creation and attributes.mp411.0 MB
330. 2. Array creation and attributes.srt7.4 KB
331. 3. Array operations.mp411.7 MB
332. 3. Array operations.srt8.9 KB
333. 4. Indexing and slicing.mp413.7 MB
334. 4. Indexing and slicing.srt10.6 KB
335. 5. Linear algebra and statistics.mp49.5 MB
336. 5. Linear algebra and statistics.srt7.5 KB
337. 6. Write DataFrames as files.mp48.4 MB
338. 6. Write DataFrames as files.srt5.8 KB
339. 7. Solution NumPy Array Operation.mp42.7 MB
340. 7. Solution NumPy Array Operation.srt2.1 KB
341. 1. Understanding classes and objects.mp43.3 MB
342. 1. Understanding classes and objects.srt2.4 KB
343. 2. Implementation Classes and objects in Python.mp47.2 MB
344. 2. Implementation Classes and objects in Python.srt4.7 KB
345. 3. Understand OOP features Abstraction, inheritance, and more.mp44.5 MB
346. 3. Understand OOP features Abstraction, inheritance, and more.srt3.9 KB
347. 4. Solution Accessing Object attributes.mp44.8 MB
348. 4. Solution Accessing Object attributes.srt4.0 KB
349. 1. Tips to write efficient Python code.mp44.8 MB
350. 1. Tips to write efficient Python code.srt5.0 KB
351. 2. What is ETL in the data engineering world.mp45.0 MB
352. 2. What is ETL in the data engineering world.srt4.7 KB
353. 3. What is Hadoop.mp43.7 MB
354. 3. What is Hadoop.srt3.8 KB
355. 4. Understand PySpark for data engineering.mp45.2 MB
356. 4. Understand PySpark for data engineering.srt4.8 KB
357. 5. Importance of visualization tools in DE.mp46.8 MB
358. 5. Importance of visualization tools in DE.srt4.8 KB
359. 6. On-prem vs. cloud data engineering.mp44.4 MB
360. 6. On-prem vs. cloud data engineering.srt4.8 KB
361. 1. Capstone project Retail sales analysis.mp45.1 MB
362. 1. Capstone project Retail sales analysis.srt4.4 KB
363. description.html1.2 KB
364. 2. Solution Capstone project.srt21.6 KB
365. 1. Next steps.mp41.3 MB
366. 1. Next steps.srt1.3 KB
367. description.html924 bytes
368. Exercises_Link.txt119 bytes
369. 1. Introduction.mp44.7 MB
370. 1. Introduction.srt1.4 KB
371. 2. What you should know.mp42.5 MB
372. 2. What you should know.srt2.4 KB
373. 3. Codespaces introduction.mp45.0 MB
374. 3. Codespaces introduction.srt4.8 KB
375. 1. SQL as a data engineer.mp44.9 MB
376. 1. SQL as a data engineer.srt4.2 KB
377. 2. The modern data stack and SQL.mp45.8 MB
378. 2. The modern data stack and SQL.srt6.2 KB
379. 3. Schema design.mp45.9 MB
380. 3. Schema design.srt5.3 KB
381. 4. Challenge Schema design.mp43.2 MB
382. 4. Challenge Schema design.srt3.2 KB
383. 5. Solution Schema design.mp44.7 MB
384. 5. Solution Schema design.srt5.7 KB
385. 1. Supply chain outage SQL spaghetti.mp48.2 MB
386. 1. Supply chain outage SQL spaghetti.srt5.2 KB
387. 2. Data build tool (dbt).mp44.2 MB
388. 2. Data build tool (dbt).srt4.8 KB
389. 3. Modeling in dbt.mp414.4 MB
390. 3. Modeling in dbt.srt8.3 KB
391. 4. Running dbt.mp411.1 MB
392. 4. Running dbt.srt5.6 KB
393. 5. Challenge Modeling taxi data.mp43.1 MB
394. 5. Challenge Modeling taxi data.srt2.5 KB
395. 6. Solution Modeling taxi data.mp46.2 MB
396. 6. Solution Modeling taxi data.srt4.3 KB
397. 1. Crypto cost Materializations.mp46.8 MB
398. 1. Crypto cost Materializations.srt4.9 KB
399. 2. Materialization terminology.mp48.3 MB
400. 2. Materialization terminology.srt6.2 KB
401. 3. Incremental materializations.mp44.5 MB
402. 3. Incremental materializations.srt4.4 KB
403. 4. Challenge Materializations.mp44.0 MB
404. 4. Challenge Materializations.srt2.6 KB
405. 5. Solution Materializations.mp48.2 MB
406. 5. Solution Materializations.srt5.7 KB
407. 1. Construction planning Query complexity.mp47.4 MB
408. 1. Construction planning Query complexity.srt4.7 KB
409. 2. Common table expressions (CTEs) vs. subqueries.mp45.6 MB
410. 2. Common table expressions (CTEs) vs. subqueries.srt5.7 KB
411. 3. CTEs in dbt.mp44.8 MB
412. 3. CTEs in dbt.srt4.7 KB
413. 4. Challenge Implementing CTEs.mp44.6 MB
414. 4. Challenge Implementing CTEs.srt3.0 KB
415. 5. Solution Implementing CTEs.mp45.7 MB
416. 5. Solution Implementing CTEs.srt3.8 KB
417. 1. Advertising Testing SQL.mp46.4 MB
418. 1. Advertising Testing SQL.srt5.3 KB
419. 2. Unit testing using dbt.mp410.4 MB
420. 2. Unit testing using dbt.srt7.3 KB
421. 3. Custom tests in dbt.mp49.9 MB
422. 3. Custom tests in dbt.srt5.9 KB
423. 4. Challenge Testing SQL.mp45.4 MB
424. 4. Challenge Testing SQL.srt3.3 KB
425. 5. Solution Testing SQL.mp410.8 MB
426. 5. Solution Testing SQL.srt5.4 KB
427. 1. Looking ahead.mp46.8 MB
428. 1. Looking ahead.srt2.9 KB
429. 2. Next steps.mp48.3 MB
430. 2. Next steps.srt3.5 KB
431. description.html1.1 KB
432. 0. Join Our Discord for More Awesome Stuff!.txt156 bytes
433. 1. Advanced Snowflake.mp46.2 MB
434. 1. Advanced Snowflake.srt6.6 KB
435. 2. Snowflake architecture.mp47.8 MB
436. 2. Snowflake architecture.srt8.9 KB
437. 3. Getting set up with Snowflake.mp43.9 MB
438. 3. Getting set up with Snowflake.srt3.9 KB
439. 1. Micropartitioning and clustering.mp47.3 MB
440. 1. Micropartitioning and clustering.srt8.6 KB
441. 2. Types of tables in Snowflake.mp46.5 MB
442. 2. Types of tables in Snowflake.srt8.4 KB
443. 3. Creating permanent tables.mp47.8 MB
444. 3. Creating permanent tables.srt7.9 KB
445. 4. Creating temporary tables.mp410.0 MB
446. 4. Creating temporary tables.srt9.8 KB
447. 5. Creating transient tables.mp49.5 MB
448. 5. Creating transient tables.srt7.8 KB
449. 6. Configuring data retention time.mp44.5 MB
450. 6. Configuring data retention time.srt4.6 KB
451. 7. Querying historical data.mp46.8 MB
452. 7. Querying historical data.srt6.4 KB
453. 8. Dropping and restoring tables.mp43.8 MB
454. 8. Dropping and restoring tables.srt3.6 KB
455. 1. Non-materialized, materialized, and secure views.mp45.5 MB
456. 1. Non-materialized, materialized, and secure views.srt6.4 KB
457. 2. Creating and populating tables.mp45.8 MB
458. 2. Creating and populating tables.srt6.0 KB
459. 3. Creating and querying views.mp46.0 MB
460. 3. Creating and querying views.srt5.4 KB
461. 4. Recreating views.mp43.3 MB
462. 4. Recreating views.srt3.4 KB
463. 5. Querying regular views and secure views.mp48.3 MB
464. 5. Querying regular views and secure views.srt8.2 KB
465. 6. Creating and querying materialized views.mp48.3 MB
466. 6. Creating and querying materialized views.srt7.4 KB
467. 1. Caching, clustering, and search optimization.mp48.9 MB
468. 1. Caching, clustering, and search optimization.srt8.7 KB
469. 2. Loading data using COPY INTO.mp48.7 MB
470. 2. Loading data using COPY INTO.srt7.1 KB
471. 3. Retrieval optimization using cached results.mp48.7 MB
472. 3. Retrieval optimization using cached results.srt7.1 KB
473. 4. Enabling clustering on tables.mp49.1 MB
474. 4. Enabling clustering on tables.srt7.9 KB
475. 5. Querying clustered tables.mp48.6 MB
476. 5. Querying clustered tables.srt6.7 KB
477. 6. Querying clustering information.mp45.5 MB
478. 6. Querying clustering information.srt4.5 KB
479. 7. Running point lookup queries on search-optimized tables.mp411.2 MB
480. 7. Running point lookup queries on search-optimized tables.srt9.3 KB
481. 8. Clustering vs. search optimization.mp412.6 MB
482. 8. Clustering vs. search optimization.srt10.5 KB
483. 1. Loading and querying parquet data.mp412.2 MB
484. 1. Loading and querying parquet data.srt9.2 KB
485. 2. Loading JSON data.mp416.2 MB
486. 2. Loading JSON data.srt5.5 KB
487. 3. Querying JSON data.mp410.2 MB
488. 3. Querying JSON data.srt7.8 KB
489. 1. Access control.mp47.0 MB
490. 1. Access control.srt7.1 KB
491. 2. Creating users and viewing grants.mp49.5 MB
492. 2. Creating users and viewing grants.srt8.7 KB
493. 3. Granting privileges to roles.mp49.6 MB
494. 3. Granting privileges to roles.srt7.7 KB
495. 1. Summary and next steps.mp42.3 MB
496. 1. Summary and next steps.srt2.8 KB

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