kandarp patel (41 resultados)

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Paperback. Condición: New. Uncover the power of MySQL 8 for Big DataAbout This Book. Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization. Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop. A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQLWho This Book Is ForThis book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.What You Will Learn. Explore the features of MySQL 8 and how they can be leveraged to handle Big Data. Unlock the new features of MySQL 8 for managing structured and unstructured Big Data. Integrate MySQL 8 and Hadoop for efficient data processing. Perform aggregation using MySQL 8 for optimum data utilization. Explore different kinds of join and union in MySQL 8 to process Big Data efficiently. Accelerate Big Data processing with Memcached. Integrate MySQL with the NoSQL API. Implement replication to build highly available solutions for Big DataIn DetailWith organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs.Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing.By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.Style and approachStep by Step guide filled with real-world practical examples.

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Paperback. Condición: New. Uncover the power of MySQL 8 for Big DataAbout This Book. Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization. Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop. A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQLWho This Book Is ForThis book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.What You Will Learn. Explore the features of MySQL 8 and how they can be leveraged to handle Big Data. Unlock the new features of MySQL 8 for managing structured and unstructured Big Data. Integrate MySQL 8 and Hadoop for efficient data processing. Perform aggregation using MySQL 8 for optimum data utilization. Explore different kinds of join and union in MySQL 8 to process Big Data efficiently. Accelerate Big Data processing with Memcached. Integrate MySQL with the NoSQL API. Implement replication to build highly available solutions for Big DataIn DetailWith organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs.Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing.By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.Style and approachStep by Step guide filled with real-world practical examples.

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Paperback. Condición: New. Uncover the power of MySQL 8 for Big DataAbout This Book. Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization. Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop. A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQLWho This Book Is ForThis book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.What You Will Learn. Explore the features of MySQL 8 and how they can be leveraged to handle Big Data. Unlock the new features of MySQL 8 for managing structured and unstructured Big Data. Integrate MySQL 8 and Hadoop for efficient data processing. Perform aggregation using MySQL 8 for optimum data utilization. Explore different kinds of join and union in MySQL 8 to process Big Data efficiently. Accelerate Big Data processing with Memcached. Integrate MySQL with the NoSQL API. Implement replication to build highly available solutions for Big DataIn DetailWith organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs.Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing.By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.Style and approachStep by Step guide filled with real-world practical examples.

Taschenbuch. Condición: Neu. Method Development For Analysis Of Anti-Diabetic Combination | Kandarp M. Patel (u. a.) | Taschenbuch | 64 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659384707 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Paperback. Condición: New. Uncover the power of MySQL 8 for Big DataAbout This Book. Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization. Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop. A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQLWho This Book Is ForThis book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.What You Will Learn. Explore the features of MySQL 8 and how they can be leveraged to handle Big Data. Unlock the new features of MySQL 8 for managing structured and unstructured Big Data. Integrate MySQL 8 and Hadoop for efficient data processing. Perform aggregation using MySQL 8 for optimum data utilization. Explore different kinds of join and union in MySQL 8 to process Big Data efficiently. Accelerate Big Data processing with Memcached. Integrate MySQL with the NoSQL API. Implement replication to build highly available solutions for Big DataIn DetailWith organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs.Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing.By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.Style and approachStep by Step guide filled with real-world practical examples.

paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Day to day numbers of newer drugs and their formulations either in single or in combined dosage forms are marketed. Epalrestat and Metformin HCl is one of the new combination available for the treatment of Diabetes. This combination is not official in any pharmacopoeia; hence no official method or reported methods are available for the estimation of these two drugs in combined dosage forms. So it is rational to develop and validate the Analytical methods for the estimation of these drugs. With the light of above objective, Reverse phase HPLC, Simultaneous estimation by UV spectrophotometer and HPTLC methods were developed and validated for analysis of combination of Epalrestat and Metformin HCl. 64 pp. Englisch.

Condición: New. Print on Demand pp. 64 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 64.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel Kandarp M.MR. KANDARP MADHUBHAI PATEL (Master of Pharmacy in Quality Assurance, PGDRA, FICS)Day to day numbers of newer drugs and their formulations either in single or in combined dosage forms are.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sapovadia VrajlalDr. Vrajlal K Sapovadia is Chartered Accounatnt and Professor of Finance, Accounting and Law. He worked as faculty with NICM, BK School, IIM Indore and SBS Ahmedabad and as Lead Facilitator with World Bank Institu.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Day to day numbers of newer drugs and their formulations either in single or in combined dosage forms are marketed. Epalrestat and Metformin HCl is one of the new combination available for the treatment of Diabetes. This combination is not official in any pharmacopoeia; hence no official method or reported methods are available for the estimation of these two drugs in combined dosage forms. So it is rational to develop and validate the Analytical methods for the estimation of these drugs. With the light of above objective, Reverse phase HPLC, Simultaneous estimation by UV spectrophotometer and HPTLC methods were developed and validated for analysis of combination of Epalrestat and Metformin HCl.