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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.
| Main Author: | |
|---|---|
| Format: | Printed Book |
| Published: |
Mumbai:
Schroff,
2017.
|
| Edition: | First edition. |
| Subjects: |
| 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 | ||