Accelerate Your Lift and Shift of Apache Spark and Apache Hadoop (Cloud Next '18)
766
21.3
Google Cloud Platform1.17 млн
Следующее
Популярные
13 дней – 3 0344:50
147 дней – 1 18341:00Опубликовано 25 июля 2018, 20:23
Migrating your Apache Spark and Apache Hadoop workloads to Google Cloud Platform should be fast and effortless. Learn how to use proven strategies alongside new Cloud Dataproc features to make your lift and shift fast, easy, and cost-effective.
Event schedule → g.co/next18
Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
re_ty: Publish; product: Cloud - Data Analytics - Dataproc; fullname: James Malone, Karthik Palaniappan; event: Google Cloud Next 2018;
Event schedule → g.co/next18
Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
re_ty: Publish; product: Cloud - Data Analytics - Dataproc; fullname: James Malone, Karthik Palaniappan; event: Google Cloud Next 2018;
Свежие видео
5 дней – 2 7752:04
13 дней – 1 3960:38
14 дней – 194 5632:34
15 дней – 1341:23
18 дней – 1 7411:26
Случайные видео
108 дней – 1 791 97122:43
154 дня – 65721:20
267 дней – 253 07718:35
01.10.23 – 29 3491:14
26.07.22 – 23 01241:00
16.02.12 – 72 6379:49
3 дня – 29114:09
7 дней – 9 2760:34
10 дней – 29113:42
12 дней – 8 8346:14
12 дней – 1 1852:11
3 дня – 4 38858:36