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Mastering Azure Analytics : architecting in the cloud with Azure Data Lake, HDInsight, and Spark /
Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.
1. autor: | |
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Format: | Printed Book |
Wydane: |
Mumbai:
Schroff,
2017.
|
Wydanie: | First edition. |
Hasła przedmiotowe: |
LEADER | 00888cam a22001937i 4500 | ||
---|---|---|---|
999 | |c 55453 |d 55453 | ||
020 | |a 9789352135356 | ||
082 | 0 | 4 | |a 004.6782 |b TEJ-M |
100 | 1 | |a Tejada, Zoiner, | |
245 | 1 | 0 | |a Mastering Azure Analytics : |b architecting in the cloud with Azure Data Lake, HDInsight, and Spark / |
250 | |a First edition. | ||
260 | |a Mumbai: |b Schroff, |c 2017. | ||
300 | |a xii, 396 pages : |b illustrations ; | ||
500 | |a Includes index. | ||
520 | |a Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution. | ||
650 | 0 | |a Microsoft Azure-Computing platform | |
650 | 0 | |a Cloud computing. | |
942 | |c BK | ||
952 | |0 0 |1 0 |4 0 |6 004_678200000000000_TEJM |7 0 |9 69861 |a KU |b KU |c GEN |d 2020-01-13 |e PICO.A3/17875/2019 dtd.28/10/2019 |g 1075.00 |l 0 |o 004.6782 TEJ-M |p IT01588 |r 2020-01-13 |w 2020-01-13 |y BK |