Ryspark SQL recipes : (Record no. 80089)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01576nam a22002417a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220818b2022 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484276020 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 MIS-R |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mishra, Raju Kumar |
| 245 ## - TITLE STATEMENT | |
| Title | Ryspark SQL recipes : |
| Remainder of title | with HiveQL, dataframe and graphframes / |
| Statement of responsibility, etc. | Raju Kumar Mishra and Sundar Rajan Raman |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 323p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 999.00 |
| 500 ## - GENERAL NOTE | |
| General note | Carry out data analysis using a problem-solution approach with PySpark SQL, graph frames, and graph data processing. This book provides solutions to problems related to data frames, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graph frames and see how to optimize your PySpark SQL code. "PySpark SQL recipes" start with recipes for creating data frames from different types of data sources, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graph frames. On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating data frames using data from different file formats aandSQL or NoSQL databases. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big Data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SPARK (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Open source software |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer programming |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Programming languages (Electronic computers) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Raman, Sundar Rajan |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 18/08/2022 | 999.00 | 005.133 MIS-R | 45596 | 13/07/2024 | 18/08/2022 | Books |