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enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE;
Vergelijkbare producten zoals SQL NoSQL Databases
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides;
Vergelijkbare producten zoals PySpark SQL Recipes
Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key;
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represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and;
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Das essential fuhrt in Big Data ein und erlautert die wichtigsten Werkzeuge zur Nutzung von SQL- wie NoSQL-Technologien. Neben semantischer;
Vergelijkbare producten zoals Werkzeuge der digitalen Wirtschaft Big Data NoSQL Co
using access control mechanisms, user authentication methods and data encryption algorithms. NoSQL databases provide mechanisms for storage and;
Vergelijkbare producten zoals Database Management Systems
Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: 1. Understand how data;
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the needs of your organization. As data continues to explode and grow more complex, SQL is becoming less useful for querying data and;
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on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web;
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cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level;
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cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level;
Vergelijkbare producten zoals Pro SQL Server Relational Database Design and Implementation
Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best;
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databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. Leverage table calculations (moving;
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Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through;
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The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled;
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With SQL Server Analysis Services 2016, Microsoft has dramatically upgraded its Tabular approach to business intelligence data modeling;
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in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with;
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-scale graph processing applications using Spark SQL APIs and Scala. * Learn data exploration, data munging, and how to process structured and;
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Learn the new Document Store feature of MySQL 8 and build applications around a mix of the best features from SQL and NoSQL database;
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Reusable (FAIR) Data (CMOMM4FAIR); First Workshop on Conceptual Modeling for NoSQL Data Stores (CoMoNoS); and Third International Workshop on;
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Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the;
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Who this book is forThis book is for database administrators, architects, big data engineers, or anyone who has experience with SQL Server and;
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sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such;
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a global scale. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations;
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-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to;
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Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary;
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