Learning Apache Cassandra - Second Edition.:
Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cas...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2017.
|
| Ausgabe: | 2nd ed. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book Is For If you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step- ... |
| Beschreibung: | Counting rows. |
| Beschreibung: | 1 online resource (354 pages) |
| ISBN: | 1787128407 9781787128408 |
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| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Up and Running with Cassandra; What is big data?; Challenges of modern applications; Why not relational databases?; How to handle big data; What is Cassandra and why Cassandra?; Horizontal scalability; High availability; Write optimization; Structured records; Secondary indexes; Materialized views; Efficient result ordering; Immediate consistency; Discretely writable collections; Relational joins; MapReduce and Spark; Rich and flexible data model. | |
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| 505 | 8 | |a How to configure keyspacesCreating the users table; Structuring of tables; Table and column options; The type system; Strings; Integers; Floating point and decimal numbers; Timestamp; UUIDs; Booleans; Blobs; Collections; Other data types; The purpose of types; Inserting data; Writing data does not yield feedback; Partial inserts; Selecting data; Missing rows; Selecting more than one row; Retrieving all the rows; Paginating through results; Inserts are always upserts; Developing a mental model for Cassandra; Summary; Chapter 3: Organizing Related Data; A table for status updates. | |
| 505 | 8 | |a Creating a table with a compound primary keyThe structure of the status updates table; UUIDs and timestamps; Working with status updates; Extracting timestamps; Looking up a specific status update; Automatically generating UUIDs; Anatomy of a compound primary key; Anatomy of a single-column primary key; Beyond two columns; Multiple clustering columns; Composite partition keys; Composite partition key table; Structure of composite partition key tables; Composite partition key with multiple clustering columns; Compound keys represent parent-child relationships. | |
| 505 | 8 | |a Coupling parents and children using static columnsDefining static columns; Working with static columns; Interacting only with the static columns; Static-only inserts; Static columns act like predefined joins; When to use static columns; Refining our mental model; Summary; Chapter 4: Beyond Key-Value Lookup; Looking up rows by partition; The limits of the WHERE keyword; Restricting by clustering column; Restricting by part of a partition key; Retrieving status updates for a specific time range; Creating time UUID ranges; Selecting a slice of a partition; Paginating over rows in a partition. | |
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| 520 | |a Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book Is For If you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step- ... | ||
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| contents | Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Up and Running with Cassandra; What is big data?; Challenges of modern applications; Why not relational databases?; How to handle big data; What is Cassandra and why Cassandra?; Horizontal scalability; High availability; Write optimization; Structured records; Secondary indexes; Materialized views; Efficient result ordering; Immediate consistency; Discretely writable collections; Relational joins; MapReduce and Spark; Rich and flexible data model. Lightweight transactionsMultidata center replication; Comparing Cassandra to the alternatives; Installing Cassandra; Installing the JDK; Installing on Debian-based systems (Ubuntu); Installing on RHEL-based systems; Installing on Windows; Installing on Mac OS X; Installing the binary tarball; Bootstrapping the project; CQL-the Cassandra Query Language; Interacting with Cassandra; Getting started with CQL; Creating a keyspace; Selecting a keyspace; Creating a table; Inserting and reading data; New features in Cassandra 2.2, 3.0, and 3.X; Summary; Chapter 2: The First Table. How to configure keyspacesCreating the users table; Structuring of tables; Table and column options; The type system; Strings; Integers; Floating point and decimal numbers; Timestamp; UUIDs; Booleans; Blobs; Collections; Other data types; The purpose of types; Inserting data; Writing data does not yield feedback; Partial inserts; Selecting data; Missing rows; Selecting more than one row; Retrieving all the rows; Paginating through results; Inserts are always upserts; Developing a mental model for Cassandra; Summary; Chapter 3: Organizing Related Data; A table for status updates. Creating a table with a compound primary keyThe structure of the status updates table; UUIDs and timestamps; Working with status updates; Extracting timestamps; Looking up a specific status update; Automatically generating UUIDs; Anatomy of a compound primary key; Anatomy of a single-column primary key; Beyond two columns; Multiple clustering columns; Composite partition keys; Composite partition key table; Structure of composite partition key tables; Composite partition key with multiple clustering columns; Compound keys represent parent-child relationships. Coupling parents and children using static columnsDefining static columns; Working with static columns; Interacting only with the static columns; Static-only inserts; Static columns act like predefined joins; When to use static columns; Refining our mental model; Summary; Chapter 4: Beyond Key-Value Lookup; Looking up rows by partition; The limits of the WHERE keyword; Restricting by clustering column; Restricting by part of a partition key; Retrieving status updates for a specific time range; Creating time UUID ranges; Selecting a slice of a partition; Paginating over rows in a partition. |
| ctrlnum | (OCoLC)986173813 |
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| discipline | Informatik |
| edition | 2nd ed. |
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Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step- ...</subfield></datafield><datafield tag="630" ind1="0" ind2="0"><subfield code="a">Apache Cassandra.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n2013073861</subfield></datafield><datafield tag="630" ind1="0" ind2="7"><subfield code="a">Apache Cassandra</subfield><subfield code="2">fast</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Learning Apache Cassandra - Second Edition (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCYcHwQvgjWKjCxTWY8RXFq</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Yarabarla, Sandeep.</subfield><subfield code="t">Learning Apache Cassandra - Second Edition.</subfield><subfield code="d">Birmingham : Packt Publishing, ©2017</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1510477</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1510477</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBL - Ebook Library</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL4848984</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest MyiLibrary Digital eBook Collection</subfield><subfield code="b">IDEB</subfield><subfield code="n">cis36984167</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">14266765</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1510477</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-ocn986173813 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:23:26Z |
| institution | BVB |
| isbn | 1787128407 9781787128408 |
| language | English |
| oclc_num | 986173813 |
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| physical | 1 online resource (354 pages) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2017 |
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| publisher | Packt Publishing, |
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| spelling | Yarabarla, Sandeep. Learning Apache Cassandra - Second Edition. 2nd ed. Birmingham : Packt Publishing, 2017. 1 online resource (354 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Up and Running with Cassandra; What is big data?; Challenges of modern applications; Why not relational databases?; How to handle big data; What is Cassandra and why Cassandra?; Horizontal scalability; High availability; Write optimization; Structured records; Secondary indexes; Materialized views; Efficient result ordering; Immediate consistency; Discretely writable collections; Relational joins; MapReduce and Spark; Rich and flexible data model. Lightweight transactionsMultidata center replication; Comparing Cassandra to the alternatives; Installing Cassandra; Installing the JDK; Installing on Debian-based systems (Ubuntu); Installing on RHEL-based systems; Installing on Windows; Installing on Mac OS X; Installing the binary tarball; Bootstrapping the project; CQL-the Cassandra Query Language; Interacting with Cassandra; Getting started with CQL; Creating a keyspace; Selecting a keyspace; Creating a table; Inserting and reading data; New features in Cassandra 2.2, 3.0, and 3.X; Summary; Chapter 2: The First Table. How to configure keyspacesCreating the users table; Structuring of tables; Table and column options; The type system; Strings; Integers; Floating point and decimal numbers; Timestamp; UUIDs; Booleans; Blobs; Collections; Other data types; The purpose of types; Inserting data; Writing data does not yield feedback; Partial inserts; Selecting data; Missing rows; Selecting more than one row; Retrieving all the rows; Paginating through results; Inserts are always upserts; Developing a mental model for Cassandra; Summary; Chapter 3: Organizing Related Data; A table for status updates. Creating a table with a compound primary keyThe structure of the status updates table; UUIDs and timestamps; Working with status updates; Extracting timestamps; Looking up a specific status update; Automatically generating UUIDs; Anatomy of a compound primary key; Anatomy of a single-column primary key; Beyond two columns; Multiple clustering columns; Composite partition keys; Composite partition key table; Structure of composite partition key tables; Composite partition key with multiple clustering columns; Compound keys represent parent-child relationships. Coupling parents and children using static columnsDefining static columns; Working with static columns; Interacting only with the static columns; Static-only inserts; Static columns act like predefined joins; When to use static columns; Refining our mental model; Summary; Chapter 4: Beyond Key-Value Lookup; Looking up rows by partition; The limits of the WHERE keyword; Restricting by clustering column; Restricting by part of a partition key; Retrieving status updates for a specific time range; Creating time UUID ranges; Selecting a slice of a partition; Paginating over rows in a partition. Counting rows. Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book Is For If you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step- ... Apache Cassandra. http://id.loc.gov/authorities/names/n2013073861 Apache Cassandra fast has work: Learning Apache Cassandra - Second Edition (Text) https://id.oclc.org/worldcat/entity/E39PCYcHwQvgjWKjCxTWY8RXFq https://id.oclc.org/worldcat/ontology/hasWork Print version: Yarabarla, Sandeep. Learning Apache Cassandra - Second Edition. Birmingham : Packt Publishing, ©2017 |
| spellingShingle | Yarabarla, Sandeep Learning Apache Cassandra - Second Edition. Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Up and Running with Cassandra; What is big data?; Challenges of modern applications; Why not relational databases?; How to handle big data; What is Cassandra and why Cassandra?; Horizontal scalability; High availability; Write optimization; Structured records; Secondary indexes; Materialized views; Efficient result ordering; Immediate consistency; Discretely writable collections; Relational joins; MapReduce and Spark; Rich and flexible data model. Lightweight transactionsMultidata center replication; Comparing Cassandra to the alternatives; Installing Cassandra; Installing the JDK; Installing on Debian-based systems (Ubuntu); Installing on RHEL-based systems; Installing on Windows; Installing on Mac OS X; Installing the binary tarball; Bootstrapping the project; CQL-the Cassandra Query Language; Interacting with Cassandra; Getting started with CQL; Creating a keyspace; Selecting a keyspace; Creating a table; Inserting and reading data; New features in Cassandra 2.2, 3.0, and 3.X; Summary; Chapter 2: The First Table. How to configure keyspacesCreating the users table; Structuring of tables; Table and column options; The type system; Strings; Integers; Floating point and decimal numbers; Timestamp; UUIDs; Booleans; Blobs; Collections; Other data types; The purpose of types; Inserting data; Writing data does not yield feedback; Partial inserts; Selecting data; Missing rows; Selecting more than one row; Retrieving all the rows; Paginating through results; Inserts are always upserts; Developing a mental model for Cassandra; Summary; Chapter 3: Organizing Related Data; A table for status updates. Creating a table with a compound primary keyThe structure of the status updates table; UUIDs and timestamps; Working with status updates; Extracting timestamps; Looking up a specific status update; Automatically generating UUIDs; Anatomy of a compound primary key; Anatomy of a single-column primary key; Beyond two columns; Multiple clustering columns; Composite partition keys; Composite partition key table; Structure of composite partition key tables; Composite partition key with multiple clustering columns; Compound keys represent parent-child relationships. Coupling parents and children using static columnsDefining static columns; Working with static columns; Interacting only with the static columns; Static-only inserts; Static columns act like predefined joins; When to use static columns; Refining our mental model; Summary; Chapter 4: Beyond Key-Value Lookup; Looking up rows by partition; The limits of the WHERE keyword; Restricting by clustering column; Restricting by part of a partition key; Retrieving status updates for a specific time range; Creating time UUID ranges; Selecting a slice of a partition; Paginating over rows in a partition. Apache Cassandra. http://id.loc.gov/authorities/names/n2013073861 Apache Cassandra fast |
| subject_GND | http://id.loc.gov/authorities/names/n2013073861 |
| title | Learning Apache Cassandra - Second Edition. |
| title_auth | Learning Apache Cassandra - Second Edition. |
| title_exact_search | Learning Apache Cassandra - Second Edition. |
| title_full | Learning Apache Cassandra - Second Edition. |
| title_fullStr | Learning Apache Cassandra - Second Edition. |
| title_full_unstemmed | Learning Apache Cassandra - Second Edition. |
| title_short | Learning Apache Cassandra - Second Edition. |
| title_sort | learning apache cassandra second edition |
| topic | Apache Cassandra. http://id.loc.gov/authorities/names/n2013073861 Apache Cassandra fast |
| topic_facet | Apache Cassandra. Apache Cassandra |
| work_keys_str_mv | AT yarabarlasandeep learningapachecassandrasecondedition |