|
RAR-files |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.rar |
50,000,000 |
EE45C60C |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r00 |
50,000,000 |
9DBDB91A |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r01 |
50,000,000 |
9536FF30 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r02 |
50,000,000 |
AF457E7C |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r03 |
50,000,000 |
EEB0503A |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r04 |
50,000,000 |
E97DC2AC |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r05 |
50,000,000 |
5A17482B |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r06 |
50,000,000 |
F6E1E585 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r07 |
50,000,000 |
1A9D791D |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r08 |
50,000,000 |
5B982BDB |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r09 |
50,000,000 |
F11B2A42 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r10 |
50,000,000 |
BD835379 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r11 |
50,000,000 |
77AD5F23 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r12 |
50,000,000 |
5F9116E9 |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r13 |
50,000,000 |
9D57703A |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r14 |
50,000,000 |
212C3C2F |
| rebar-handling.fast.data.with.apache.spark.sql.and.streaming.r15 |
27,048,080 |
60D4EDE5 |
|
| Total size: |
827,048,080 |
|
|
| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
[c92ad6946bb2d81a]
|
4,889,004 |
384E4670 |
|
02 - Introduction\02 - Introduction.mp4
[a724a73d02f22362]
|
4,242,994 |
A62363A8 |
|
02 - Introduction\03 - Fast Data - Avoiding Lambda Architecture Complexity.mp4
[f2f6649621191018]
|
9,118,953 |
6FFF5671 |
|
02 - Introduction\04 - What to Expect.mp4
[ebcf63fa7f54aec5]
|
7,249,401 |
4B60D747 |
|
02 - Introduction\05 - Spark 2.x.mp4
[3ed79e2f64f25267]
|
9,427,081 |
6C5BA6DC |
|
02 - Introduction\06 - Resources.mp4
[cb87d3d0efe7c233]
|
2,878,843 |
7D484D8F |
|
02 - Introduction\07 - Summary.mp4
[c519611603584949]
|
1,058,291 |
17033111 |
|
03 - Querying Data with the DataFrames (Part 1)\08 - Introduction.mp4
[5a58d380bb0ebd4a]
|
1,480,622 |
B94FC1F4 |
|
03 - Querying Data with the DataFrames (Part 1)\09 - Spark SQL FTW.mp4
[965b873a5a9fa335]
|
8,365,866 |
2CF85FC2 |
|
03 - Querying Data with the DataFrames (Part 1)\10 - Digging into the DataFrame API.mp4
[7617ee982d7773a]
|
54,069,199 |
3EE85DA5 |
|
03 - Querying Data with the DataFrames (Part 1)\11 - Reviewing the Rest of the DataFrame API.mp4
[768d6c0f991bb316]
|
17,181,852 |
E85C9D3F |
|
03 - Querying Data with the DataFrames (Part 1)\12 - Querying with SQL.mp4
[265ad60a75a60e0f]
|
2,043,757 |
AE6E7058 |
|
03 - Querying Data with the DataFrames (Part 1)\13 - Extending Querying via Functions.mp4
[9497dfcd4b04e404]
|
63,266,357 |
37D6585E |
|
03 - Querying Data with the DataFrames (Part 1)\14 - Flattening Data with Explode.mp4
[e10574f34e4dca5a]
|
17,703,094 |
1BB9AF2C |
|
03 - Querying Data with the DataFrames (Part 1)\15 - Working with Windows.mp4
[59d12d74c5e46902]
|
733,323 |
DC8C76AD |
|
04 - Querying Data with the DataFrames (Part 2)\16 - Introduction.mp4
[914eae7fc2de1365]
|
1,230,632 |
5AC1B23A |
|
04 - Querying Data with the DataFrames (Part 2)\17 - Working with Windows.mp4
[cc2f0a31c2cb0f92]
|
45,423,194 |
98F19342 |
|
04 - Querying Data with the DataFrames (Part 2)\18 - Functions, Functions....mp4
[f4a672f3ab92f5da]
|
21,756,824 |
4C4B31E2 |
|
04 - Querying Data with the DataFrames (Part 2)\19 - And More Functions.mp4
[16b9d088daee81d8]
|
8,949,584 |
0B6250B9 |
|
04 - Querying Data with the DataFrames (Part 2)\20 - Still Not Enough Functions User Defined Functions.mp4
[8cb3eb88304c943e]
|
12,995,615 |
79289010 |
|
04 - Querying Data with the DataFrames (Part 2)\21 - Understanding Joins.mp4
[589fca37414da03e]
|
17,311,313 |
F6851F21 |
|
04 - Querying Data with the DataFrames (Part 2)\22 - Advanced SQL Monitoring with the Spark UI.mp4
[c1701b87573f08e2]
|
5,939,557 |
F82299FA |
|
04 - Querying Data with the DataFrames (Part 2)\23 - Resources.mp4
[e9b42354cf9b9b81]
|
3,708,421 |
C1DA9D38 |
|
04 - Querying Data with the DataFrames (Part 2)\24 - Summary.mp4
[955a8acf3e33cd8c]
|
1,106,328 |
2EC9E87F |
|
05 - Improving Type Safety with Datasets\25 - Introduction.mp4
[6d927463cf85753d]
|
1,790,753 |
6B910E5F |
|
05 - Improving Type Safety with Datasets\26 - Why Not Just DataFrames.mp4
[c66374f6fec87eff]
|
8,183,654 |
45CBD7F3 |
|
05 - Improving Type Safety with Datasets\27 - Adding Type Safety with Datasets.mp4
[ca13421b98e44e6d]
|
51,572,443 |
426867F2 |
|
05 - Improving Type Safety with Datasets\28 - Even Aggregation Can Be Type Safe.mp4
[b5f30f844f0c1fa4]
|
28,928,295 |
23B63352 |
|
05 - Improving Type Safety with Datasets\29 - Digging into Datasets.mp4
[3169ea024afc575]
|
3,504,096 |
A7CD0219 |
|
05 - Improving Type Safety with Datasets\30 - Joins with Datasets.mp4
[31a837f46dbd2ffd]
|
5,907,740 |
91B5EB51 |
|
05 - Improving Type Safety with Datasets\31 - Beyond Native Datasources with Cassandra.mp4
[f1a9f5c836e048a9]
|
24,426,705 |
A34EA5C7 |
|
05 - Improving Type Safety with Datasets\32 - More Datasources.mp4
[be0a9251b173ea17]
|
4,280,428 |
AB0432E8 |
|
05 - Improving Type Safety with Datasets\33 - Resources.mp4
[1ab5d0c64e42854b]
|
4,824,723 |
7412EB01 |
|
05 - Improving Type Safety with Datasets\34 - Summary.mp4
[7b818c71a4a59083]
|
784,258 |
51D4CA9A |
|
06 - Processing Data with the Streaming API\35 - Introduction.mp4
[ea20319131a7b7f5]
|
2,357,074 |
A3755BAD |
|
06 - Processing Data with the Streaming API\36 - The Streaming Landscape.mp4
[12dbf587841dbe46]
|
6,345,514 |
94891FC3 |
|
06 - Processing Data with the Streaming API\37 - Introducing Kafka.mp4
[d3e78ad1e3d959a4]
|
42,297,121 |
47C52081 |
|
06 - Processing Data with the Streaming API\38 - Understanding Spark Streaming's Mechanics.mp4
[f5e2d51c11592e89]
|
6,035,422 |
9574AADB |
|
06 - Processing Data with the Streaming API\39 - Streaming in Action.mp4
[a2752ea3038e378e]
|
49,633,167 |
EBAA8DA7 |
|
06 - Processing Data with the Streaming API\40 - More of the Streaming API.mp4
[fab13c3464077758]
|
10,608,643 |
0F4ED852 |
|
06 - Processing Data with the Streaming API\41 - The DStream 'RDD' API.mp4
[f5997af370378e4e]
|
6,546,975 |
F3D89908 |
|
06 - Processing Data with the Streaming API\42 - About Stateful Streaming - Windows and Checkpoints.mp4
[1b2511e07d968a70]
|
10,391,817 |
A519202C |
|
06 - Processing Data with the Streaming API\43 - Utilizing State for Speedy Fraud Detection.mp4
[7a7f78691c0884f4]
|
67,358,278 |
76F3048B |
|
06 - Processing Data with the Streaming API\44 - An Improved Stateful Stream via mapWithState.mp4
[6a9d83d67c2732c2]
|
38,621,190 |
71C47D78 |
|
06 - Processing Data with the Streaming API\45 - The Streaming UI.mp4
[f52890c5746f389f]
|
5,839,944 |
CD048920 |
|
06 - Processing Data with the Streaming API\46 - Resources.mp4
[622e0b55dcd75109]
|
5,811,923 |
7F768B24 |
|
06 - Processing Data with the Streaming API\47 - Summary.mp4
[3f3b4573d54979f8]
|
1,110,069 |
2EB485F0 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\48 - Introduction.mp4
[9d98d31c2f56fa34]
|
1,815,026 |
FB9D1BAC |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\49 - Increasing Stream Resiliency.mp4
[f332fa5a4cb88a73]
|
24,532,861 |
DF3E5EB8 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\50 - Optimizing to Boost Performance - Streaming.mp4
[899376bd82b48eef]
|
6,668,738 |
001863B7 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\51 - Optimizing to Boost Performance - SQL.mp4
[2eef8a519060bfe5]
|
5,938,684 |
2D3D0796 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\52 - Introduction to Structured Streaming.mp4
[c9e844ede126dc8a]
|
7,691,345 |
DF41859C |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\53 - A Deeper Dive into Structured Streaming.mp4
[3207ed0b708cff3]
|
13,060,522 |
A1D33336 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\54 - Structured Streaming - Watermarks and Output Models.mp4
[a1fcc8984568b5eb]
|
13,516,300 |
17DCFB00 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\55 - Structured Streaming Demo.mp4
[2b877c9707e4125]
|
24,831,274 |
C590AFD3 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\56 - The Future - Spark 2.x.mp4
[a9a34deff886791c]
|
9,228,156 |
8F2D9981 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\57 - Resources.mp4
[46c471e4e71f51e7]
|
3,953,268 |
E55AC38C |
|
07 - Optimizing, Structured Streaming, and Spark 2.x\58 - Summary.mp4
[4c0e244819daadd4]
|
798,288 |
0DBE947A |
|
apache-spark-sql-fast-data-handling-streaming.zip |
5,713,847 |
CF71A72B |
|
01 - Course Overview |
0 |
00000000 |
|
02 - Introduction |
0 |
00000000 |
|
03 - Querying Data with the DataFrames (Part 1) |
0 |
00000000 |
|
04 - Querying Data with the DataFrames (Part 2) |
0 |
00000000 |
|
05 - Improving Type Safety with Datasets |
0 |
00000000 |
|
06 - Processing Data with the Streaming API |
0 |
00000000 |
|
07 - Optimizing, Structured Streaming, and Spark 2.x |
0 |
00000000 |
|
| Total size: |
827,038,646 |
|
|
