Apache Cassandra is an open-source, distributed, scalable, and fault-tolerant NoSQL database that uses a peer-to-peer model to distribute data across nodes. It supports a wide variety of data types and uses a column-oriented model to store variable-length rows indexed by partition keys. Data can be added using CQL INSERT statements, read using CQL SELECT statements, and deleted using CQL DELETE statements. Cassandra is useful for applications requiring high availability, easy scaling, and fast writes, such as mobility, IoT, and personalization/recommendations.
«Дизайн продвинутых нереляционных схем для Big Data»Olga Lavrentieva
Виктор Смирнов (Java Tech Lead в Klika Technologies)
Доклад: «Дизайн продвинутых нереляционных схем для Big Data»
О чём: Виктор познакомит всех с примерами продвинутых нереляционных схем данных и тем, как они могут использоваться для решения задач, связанных с хранением и обработкой больших данных.
C* Summit 2013: The State of CQL by Sylvain LebresneDataStax Academy
Abstract Since its inception, the Cassandra Query Language (CQL) has grown and matured, resulting in the 3rd version of the language (CQL3) being finalized in Cassandra 1.2. Compared to the legacy Thrift API, CQL3 aims at providing an API that is higher level and more user friendly but still fully assumes the distributed nature of Cassandra and it's storage engine. This presentation will present CQL3, describing the reasoning and goals behind the language as well as the language itself. CQL's relationship with Thrift will be touched on, along with the CQL binary protocol that has been introduced in Cassandra 1.2. This presentation will wrap up by discussing the future of CQL.
«Дизайн продвинутых нереляционных схем для Big Data»Olga Lavrentieva
Виктор Смирнов (Java Tech Lead в Klika Technologies)
Доклад: «Дизайн продвинутых нереляционных схем для Big Data»
О чём: Виктор познакомит всех с примерами продвинутых нереляционных схем данных и тем, как они могут использоваться для решения задач, связанных с хранением и обработкой больших данных.
C* Summit 2013: The State of CQL by Sylvain LebresneDataStax Academy
Abstract Since its inception, the Cassandra Query Language (CQL) has grown and matured, resulting in the 3rd version of the language (CQL3) being finalized in Cassandra 1.2. Compared to the legacy Thrift API, CQL3 aims at providing an API that is higher level and more user friendly but still fully assumes the distributed nature of Cassandra and it's storage engine. This presentation will present CQL3, describing the reasoning and goals behind the language as well as the language itself. CQL's relationship with Thrift will be touched on, along with the CQL binary protocol that has been introduced in Cassandra 1.2. This presentation will wrap up by discussing the future of CQL.
CASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEMIJCI JOURNAL
Apache Cassandra is a distributed storage system for managing very large amounts of structured data.
Cassandra provides highly available service with no single point of failure. Cassandra aims to run on top
of an infrastructure of hundreds of nodes possibly spread across different data centers with small and large
components fail continuously. Cassandra manages the persistent state in the face of the failures which
drives the reliability and scalability of the software systems. Cassandra does not support a full relational
data model because it resembles a database and shares many design and implementation strategies. In this
paper, discuss an implementation of Cassandra as Hotel Management System application. Cassandra
system was designed to run on cheap commodity hardware. Cassandra provides high write throughput and
read efficiency.
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
http://tyfs.rocks
This is a preliminary study and the objective of this study is to make simple distributed database system with some basic tutorials. Cassandra is a distributed database from Apache that is highly scalable and designed to accomplish very large amounts of organized data. Without having a single point of failure, it offers high accessibility. This report highlights with a basic outline of Cassandra trailed by its architecture, installation, and significant classes and interfaces. Subsequently, it proceeds to cover how to perform operations such as CREATE, ALTER, UPDATE, and DELETE on KEYSPACES, TABLES, and INDEXES using CQLSH using C#/.NET Client with a sample program done by ASP.NET(C#).
Trivadis TechEvent 2016 Big Data Cassandra, wieso brauche ich das? by Jan OttTrivadis
First Steps of an Oracle-expert in the Big Data World. Everyone speaks about Big Data. But what does it mean? This speech focuses on one animal of the Big Data Zoo - Cassandra and answers the following questions:
- Why another database?
- There is Impala and Spark. Why would I need Cassandra?
- New database - do I need to learn a new language?
- How do I get the data in?
- Can I use SQL?
- Is it part of a distribution, for example Cloudera?
Demos will explain the theory.
Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple data-centres,with asynchronous master-less replication allowing low latency operations for all clients.
Apache Cassandra, part 1 – principles, data modelAndrey Lomakin
Aim of this presentation to provide enough information for enterprise architect to choose whether Cassandra will be project data store. Presentation describes each nuance of Cassandra architecture and ways to design data and work with them.
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CASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEMIJCI JOURNAL
Apache Cassandra is a distributed storage system for managing very large amounts of structured data.
Cassandra provides highly available service with no single point of failure. Cassandra aims to run on top
of an infrastructure of hundreds of nodes possibly spread across different data centers with small and large
components fail continuously. Cassandra manages the persistent state in the face of the failures which
drives the reliability and scalability of the software systems. Cassandra does not support a full relational
data model because it resembles a database and shares many design and implementation strategies. In this
paper, discuss an implementation of Cassandra as Hotel Management System application. Cassandra
system was designed to run on cheap commodity hardware. Cassandra provides high write throughput and
read efficiency.
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
http://tyfs.rocks
This is a preliminary study and the objective of this study is to make simple distributed database system with some basic tutorials. Cassandra is a distributed database from Apache that is highly scalable and designed to accomplish very large amounts of organized data. Without having a single point of failure, it offers high accessibility. This report highlights with a basic outline of Cassandra trailed by its architecture, installation, and significant classes and interfaces. Subsequently, it proceeds to cover how to perform operations such as CREATE, ALTER, UPDATE, and DELETE on KEYSPACES, TABLES, and INDEXES using CQLSH using C#/.NET Client with a sample program done by ASP.NET(C#).
Trivadis TechEvent 2016 Big Data Cassandra, wieso brauche ich das? by Jan OttTrivadis
First Steps of an Oracle-expert in the Big Data World. Everyone speaks about Big Data. But what does it mean? This speech focuses on one animal of the Big Data Zoo - Cassandra and answers the following questions:
- Why another database?
- There is Impala and Spark. Why would I need Cassandra?
- New database - do I need to learn a new language?
- How do I get the data in?
- Can I use SQL?
- Is it part of a distribution, for example Cloudera?
Demos will explain the theory.
Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple data-centres,with asynchronous master-less replication allowing low latency operations for all clients.
Apache Cassandra, part 1 – principles, data modelAndrey Lomakin
Aim of this presentation to provide enough information for enterprise architect to choose whether Cassandra will be project data store. Presentation describes each nuance of Cassandra architecture and ways to design data and work with them.
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2. SUMMARY OF CONTENTS
What is Apache Cassandra?
Evolution of Cassandra ?
Why Cassandra for Big Data?
Apache Cassandra Data types ?
Data Distribution in Apache Cassandra
How to Add Data in Cassandra ?
How to Read Data ?
How to Delete Data ?
Use Cases ?
Advantages and Limitations
3. Apache Cassandra is an open-source, NoSQL, wide column data store that can quickly
take and process huge amounts of data.
It is decentralized, distributed, scalable, highly available, and fault-tolerant, ,
with identical nodes that are clustered together for eliminating single points of failure.
WHAT IS APACHE CASSANDRA ?
5. WHY CASSANDRA FOR BIG DATA?
1. Handles high velocity data with ease
2. Uses schema that support broad varieties of data
3. Is designed for continuous availability
4. Offers quick installation and configuration for multi-node clusters.
5. It is open source and reduces cost as compared to RDBMS.
6. DATA TYPES IN CASSANDRA ?
1.It supports the most common data types including ASCII, Bigint , BLOB, Boolean counter,
decimal, double, float, int , text, timestamp, UUID, varchar etc.
2.Its data model offers the convenient of the column indexes with the performance of log
structured updates, strong support for denormalization and materialized views and built in
caching.
3.Data access is performed using CQL (Cassandra Query Language) which is resembled to
SQL (Structured Query Language).
7. DATA DISTRIBUTION IN CASSANDRA ?
Cassandra uses a peer-to-peer model for distributing the data, which enables it to fully
distribute data in the form of variable-length rows, stored by partition keys. Cassandra is
built for its scalability, continuous availability, and has having no single point of
failure.
Many Different databases, such as Postgre SQL, use a master-slave replication model,
in which the writes go to a master node and reads are executed on slaves. To provide high
availability, fault tolerance, and scalability, Cassandra’s peer-to-peer distribution model
provides nodes with open channels of communication. Cassandra uses Tokens ( a 64
bit integer) for determining which node holds what data.
8. ADDING DATA IN CASSANDRA ?
You can insert data into the columns of a row in a table using the command INSERT.
Syntax for creating data in a table is shown below.
INSERT INTO <tablename>
(<column1 name>, <column2
name>....) VALUES (<value1>,
<value2>....)
USING <option>
Let us assume there is a table called std with columns (std_id, std_name, std_city,
std_phone, std_fee) and you have to insert the following data into the std table.
9. ADDING DATA IN CASSANDRA ?
Use the commands given below to fill the table with required data.
cqlsh: project1> INSERT INTO std (std_id, std_name, std_city, std_phone,
std_fee) VALUES (1,'Ramesh', 'Hyderabad', 9191234567, 55000);
cqlsh:project1> INSERT INTO std (std_id, std_name, std_city, std_phone,
std_fee) VALUES (2,'Pavan', 'Visakhapatnam', 9191234567, 45000);
cqlsh:project1> INSERT INTO std (std_id, std_name, std_city, std_phone,
std_fee) VALUES (3,'Gayatri', 'Vizainagaram', 9191234567, 47000);
10. READING DATA IN CASSANDRA ?
SELECT clause is used to read data from a table in Cassandra. By Using this clause, you can read a
whole table, a single column, or a particular cell.
The syntax of SELECT clause is given below
SELECT FROM <tablename>
Assume there is a table in the key space named std with the following details –
cqlsh:project1> select * from std;
cqlsh:project1> SELECT std_name, std_fee from std;
11. DELETING DATA IN CASSANDRA ?
The following statement deletes the std_fee column of last row –
cqlsh:project1> DELETE std_fee FROM std WHERE emp_id=3; Deletion of
Entire row:-
The following command deletes an entire row from a table.
cqlsh:project1> DELETE FROM std WHERE emp_id=3;
You can delete data from a table using the command DELETE. The syntax is given below
DELETE FROM <identifier> WHERE <condition>;
12. USE CASES FOR CASSANDRA ?
1. Mobility
2. Security and Fraud Detection
3. Personalization and Recommendation
4. IOT
5. Cloud Operations
13. ADVANTAGES?
1. Open source
2. Peer to peer Architecture
3. Elastic Scalability
4. High Availability and Fault Tolerence
5. High performance
6. Column oriented
7. Tunable Consistency
8. Schema-Free
14. LIMITATIONS
?1. A single column value may not be larger than 2 Giga Bytes.
2. The maximum number of column per row is 2 billion.
3. All data read should fit in memory due to thrift streaming support lack.
4. The key must be less than 64k bytes.