MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

⇘  ⌕ MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools free download ⇣ Kindle Ebook By Shabbir Challawala ∊ ⇘ ⌕ MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools free download ⇣ Kindle Ebook By Shabbir Challawala ∊ Uncover the power of MySQL 8 for Big Data

About This Book

Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organizationIntegrate MySQL with different NoSQL APIs and Big Data tools such as Apache SqoopA comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL

Who This Book Is For

This 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 DataUnlock the new features of MySQL 8 for managing structured and unstructured Big DataIntegrate MySQL 8 and Hadoop for efficient data processingPerform aggregation using MySQL 8 for optimum data utilizationExplore different kinds of join and union in MySQL 8 to process Big Data efficientlyAccelerate Big Data processing with MemcachedIntegrate MySQL with the NoSQL APIImplement replication to build highly available solutions for Big Data

In Detail

With 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 approach

Step by Step guide filled with real world practical examples.Shabbir Challawala has over 8 years of rich experience in providing solutions based on MySQL and PHP technologies He is currently working with KNOWARTH Technologies He has worked in various PHP based e commerce solutions and learning portals for enterprises He has worked on different PHP based frameworks, such as Magento E commerce, Drupal CMS, and Laravel.Shabbir has been involved in various enterprise solutions at different phases, such as architecture design, database optimization, and performance tuning He has been carrying good exposure of Software Development Life Cycle process thoroughly He has worked on integrating Big Data technologies such as MongoDB and Elasticsearch with a PHP based framework.Jaydip Lakhatariya has rich experience in portal and J2EE frameworks He adapts quickly to any new technology and has a keen desire for constant improvement Currently, Jaydip is associated with a leading open source enterprise development company, KNOWARTH Technologies, where he is engaged in various enterprise projects.Jaydip, a full stack developer, has proven his versatility by adopting technologies such as Liferay, Java, Spring, Struts, Hadoop, MySQL, Elasticsearch, Cassandra, MongoDB, Jenkins, SCM, PostgreSQL, and many .He has been recognized with awards such as Merit, Commitment to Service, and also as a Star Performer He loves mentoring people and has been delivering training for Portals and J2EE frameworks.Chintan Mehta is the co founder at KNOWARTH Technologies and heads Cloud RIMS DevOps He has rich progressive experience in Systems and Server Administration of Linux, AWS Cloud, DevOps, RIMS, and Server Administration on Open Source Technologies He is also an AWS Certified Solutions Architect Associate.Chintan s vital role during his career in Infrastructure and Operations has also included Requirement Analysis, Architecture design, Security design, High availability and Disaster recovery planning, Automated monitoring, Automated deployment, Build processes to help customers, performance tuning, infrastructure setup and deployment, and application setup and deployment He has also been responsible for setting up various offices at different locations, with fantastic sole ownership to achieve Operation Readiness for the organizations he had been associated with.He headed Managed Cloud Services practices with his previous employer and received multiple awards in recognition of very valuable contributions made to the business of the group He also led the ISO 27001 2005 implementation team as a joint management representative Chintan has authored Hadoop Backup and Recovery Solutions and reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.He has a Diploma in Computer Hardware and Network from a reputed institute in India.Kandarp Patel leads PHP practices at KNOWARTH Technologies He has vast experience in providing end to end solutions in CMS, LMS, WCM, and e commerce, along with various integrations for enterprise customers He has over 9 years of rich experience in providing solutions in MySQL, MongoDB, and PHP based frameworks Kandarp is also a certified MongoDB and Magento developer.Kandarp has experience in various Enterprise Application development phases of the Software Development Life Cycle and has played prominent role in requirement gathering, architecture design, database design, application development, performance tuning, and CD CI.Kandarp has a Bachelor of Engineering in Information Technology from a reputed university in India. Built Enterprise Edition and powered by Oracle Cloud, Cloud Service provides simple, automated, integrated enterprise ready Basierend auf der und betrieben bietet einen einfachen, automatisierten Wikipedia, la enciclopedia libre La industria radica en venta de productos software y algunos servicios relacionados numerosas empresas que utilizan estos AB clasifica losIntroducing MySQL Document Store Introducing Store Charles Bell FREE shipping qualifying offers Tagline Building Schema less Database Solutions Import Export Licensing Procedures India The import export all goods India are free, except items regulated Import Policy or any other law currently force shabbir challawala Team Leader I worked a View shabbir profile LinkedIn, largest professional community has jobs listed their See complete construction advisor co job Shabbir Challawala Facebook Shabbir Facebook Join to connect with others you may know gives people power share Owner AMEnterprise PACKT Books packtpub Packt Publishing technology eBooks, books videos help IT Developers Administrators put tools work ways Author Big Data author Data avg rating, ratings, reviews re MySQL By Challawala, Jaydip Lakhatariya, Chintan Mehta, Kandarp Patel October Uncover Free sample Scan Scroll URI length exceeds the ShabbirChallawala UTC am working ElasticSearch Php library elastic elasticsearch Effective data processing Hadoop, NoSQL APIs, eBook Lakhatariya processing Mehta MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

    • Format Kindle
    • 1788397185
    • MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
    • Shabbir Challawala
    • Anglais
    • 16 March 2017
    • 266 pages

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