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Data Analytics: Principles, Tools, And Practices / (Record no. 57370)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02016nam a2200145Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789388511957 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.6 |
| Item number | ARO |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Author name | Aroraa, Gaurav |
| 245 #0 - TITLE STATEMENT | |
| Title | Data Analytics: Principles, Tools, And Practices / |
| Statement of responsibility, etc. | Gaurav Aroraa |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | BPB Publications : |
| Date of publication, distribution, etc. | 2022 , |
| Place of publication, distribution, etc. | New Delhi : |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 398 pages |
| 500 ## - GENERAL NOTE | |
| General note | These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book "Data Analytics: Principles, Tools, and Practices" can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science.TABLE OF CONTENTS1. Database Management System2. Online Transaction Processing and Data Warehouse3. Business Intelligence and its deeper dynamics4. Introduction to Data Visualization5. Advanced Data Visualization6. Introduction to Big Data and Hadoop7. Application of Big Data Real Use Cases8. Application of Big Data9. Introduction to Machine Learning10. Advanced Concepts to Machine Learning11. Application of Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Science, IT |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | English Books |
| Koha item type | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Bill Number | Accession Number | Full call number | Withdrawn status | Lost status | Not for loan | Collection | Total renewals | Date last checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | நான்காம் தளம் / Fourth floor | 02/05/2023 | 599.00 | SINV0015/BPB-2 | 134914 | 004.6 ARO | ENGLISH-REFERENCE BOOKS | |||||
| English Books | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | மூன்றாம் தளம் / Third floor | 02/05/2023 | 599.00 | SINV0015/BPB-2 | 134915 | 004.6 ARO | ENGLISH - LENDING BOOKS | 1 | 08/09/2024 |