The self-service data roadmap : (Record no. 80217)
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000 -LEADER | |
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fixed length control field | 01955nam a22002057a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220820b2020 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789385889332 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658 UTT-S |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Uttamchandani, Sandeep |
245 ## - TITLE STATEMENT | |
Title | The self-service data roadmap : |
Remainder of title | democratize data and reduce time to insight / |
Statement of responsibility, etc. | Sandeep Uttamchandani |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | India |
Name of publisher, distributor, etc. | Shroff Publishers |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 264 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 1000.00. |
500 ## - GENERAL NOTE | |
General note | Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data.<br/><br/>With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work.<br/><br/>Build a self-service portal to support data discovery, quality, lineage, and governance<br/>Select the best approach for each self-service capability using open source cloud technologies<br/>Tailor self-service for the people, processes, and technology maturity of your data platform<br/>Implement capabilities to democratize data and reduce time to insight<br/>Scale your self-service portal to support a large number of users within your organization. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Business enterprises--Data processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Database management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Information technology--Management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Database management--Computer programs |
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 | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Dewey Decimal Classification | 650 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 20/08/2022 | 658 UTT-S | 46034 | 13/07/2024 | 20/08/2022 | Books |