عرض عادي
Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / James Lee, Tao Wei, Suresh Kumar Mukhiya
نوع المادة :
نصاللغة: الإنجليزية الناشر:Birmingham, UK : Packt Publishing Ltd., 2018وصف:vii, 290 pages : illustrations ; 24 cmنوع المحتوى:- text
- still image
- unmediated
- volume
- 9781788620901
- 1788620909
- Big data modeling
- QA76.9.D26 L44 2018
المحتويات:
Introduction to big data and data management -- Data modeling and management platforms -- Defining data models -- Categorizing data models -- Structures of data models -- Modeling structured data -- Modeling with unstructured data -- Modeling with streaming data -- Streaming sensor data -- Concept and approaches of big-data management -- DBMS to BDMS -- Modeling Bitcoin data points with Python -- Modeling Twitter feeds using Python -- Modeling weather data points with Python -- Modeling IMDb data points with Python
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
|---|---|---|---|---|---|---|---|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D26 L44 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000208799 | ||
|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D26 L44 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30020000208798 |
Includes index
"Production reference: 1301118"--Title page verso
Introduction to big data and data management -- Data modeling and management platforms -- Defining data models -- Categorizing data models -- Structures of data models -- Modeling structured data -- Modeling with unstructured data -- Modeling with streaming data -- Streaming sensor data -- Concept and approaches of big-data management -- DBMS to BDMS -- Modeling Bitcoin data points with Python -- Modeling Twitter feeds using Python -- Modeling weather data points with Python -- Modeling IMDb data points with Python
