In this slides discuss about the short introduction about Structured query language .. this slides is help for those students those study database relevant
In this slides discuss about the short introduction about Structured query language .. this slides is help for those students those study database relevant
SQL vs NoSQL | MySQL vs MongoDB Tutorial | EdurekaEdureka!
(** MYSQL DBA Certification Training https://www.edureka.co/mysql-dba **)
This Edureka PPT on SQL vs NoSQL will discuss the differences between SQL and NoSQL. It also discusses the differences between MySQL and MongoDB.
The following topics will be covered in this PPT:
What is SQL?
What is NoSQL?
SQL vs NoSQL
Type of database
Schema
Database Categories
Complex Queries
Hierarchical Data Storage
Scalability
Language
Online Processing
Base Properties
External Support
What is MySQL?
What is MongoDB?
MySQL vs MongoDB:
Query Language
Flexibility of Schema
Relationships
Security
Performance
Support
Key Features
Replication
Usage
Active Community
Follow us to never miss an update in the future.
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PostgreSQL (or Postgres) began its life in 1986 as POSTGRES, a research project of the University of California at Berkeley.
PostgreSQL isn't just relational, it's object-relational.it's object-relational. This gives it some advantages over other open source SQL databases like MySQL, MariaDB and Firebird.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
1. Introduction to Web Services
2. Web Service Architecture
3. What are Web Services?
4. Why are Web Services?
5. The base of WS
6. What is SOAP?
7. What is WSDL?
8. How to test a web service?
9. Examples
Consists of the explanations of the basics of SQL and commands of SQL.Helpful for II PU NCERT students and also degree studeents to understand some basic things.
This presentation was delivered as part of the Digital Humanities at Oxford Summer School in July 2016. It provides a general introduction to relational databases, including an overview of the benefits of this method of storing and structuring data, and a guide to designing a database structure.
Some slides include further explanation in the notes pane: download a copy of the presentation to see these.
MySQL is a unique adult (now 21 years old) in many ways. It supports plugins. It supports storage engines. It is also owned by Oracle, thus birthing two branches of the popular opensource database: Percona Server and MariaDB Server. It also once spawned a fork: Drizzle. Lately a consortium of web scale users (think a chunk of the top 10 sites out there) have spawned WebScaleSQL.
You're a busy DBA having to maintain a mix of this. Or you're a CIO planning to choose one branch. How do you go about picking? Supporting multiple databases? Find out more in this talk. Also covered is a deep-dive into what feature differences exist between MySQL/Percona Server/MariaDB/WebScaleSQL, how distributions package the various databases differently. Within the hour, you'll be informed about the past, the present, and hopefully be knowledgeable enough to know what to pick in the future.
Note, there will also be coverage of the various trees around WebScaleSQL, like the Facebook tree, the Alibaba tree as well as the Twitter tree.
SQL vs NoSQL | MySQL vs MongoDB Tutorial | EdurekaEdureka!
(** MYSQL DBA Certification Training https://www.edureka.co/mysql-dba **)
This Edureka PPT on SQL vs NoSQL will discuss the differences between SQL and NoSQL. It also discusses the differences between MySQL and MongoDB.
The following topics will be covered in this PPT:
What is SQL?
What is NoSQL?
SQL vs NoSQL
Type of database
Schema
Database Categories
Complex Queries
Hierarchical Data Storage
Scalability
Language
Online Processing
Base Properties
External Support
What is MySQL?
What is MongoDB?
MySQL vs MongoDB:
Query Language
Flexibility of Schema
Relationships
Security
Performance
Support
Key Features
Replication
Usage
Active Community
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
PostgreSQL (or Postgres) began its life in 1986 as POSTGRES, a research project of the University of California at Berkeley.
PostgreSQL isn't just relational, it's object-relational.it's object-relational. This gives it some advantages over other open source SQL databases like MySQL, MariaDB and Firebird.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
1. Introduction to Web Services
2. Web Service Architecture
3. What are Web Services?
4. Why are Web Services?
5. The base of WS
6. What is SOAP?
7. What is WSDL?
8. How to test a web service?
9. Examples
Consists of the explanations of the basics of SQL and commands of SQL.Helpful for II PU NCERT students and also degree studeents to understand some basic things.
This presentation was delivered as part of the Digital Humanities at Oxford Summer School in July 2016. It provides a general introduction to relational databases, including an overview of the benefits of this method of storing and structuring data, and a guide to designing a database structure.
Some slides include further explanation in the notes pane: download a copy of the presentation to see these.
MySQL is a unique adult (now 21 years old) in many ways. It supports plugins. It supports storage engines. It is also owned by Oracle, thus birthing two branches of the popular opensource database: Percona Server and MariaDB Server. It also once spawned a fork: Drizzle. Lately a consortium of web scale users (think a chunk of the top 10 sites out there) have spawned WebScaleSQL.
You're a busy DBA having to maintain a mix of this. Or you're a CIO planning to choose one branch. How do you go about picking? Supporting multiple databases? Find out more in this talk. Also covered is a deep-dive into what feature differences exist between MySQL/Percona Server/MariaDB/WebScaleSQL, how distributions package the various databases differently. Within the hour, you'll be informed about the past, the present, and hopefully be knowledgeable enough to know what to pick in the future.
Note, there will also be coverage of the various trees around WebScaleSQL, like the Facebook tree, the Alibaba tree as well as the Twitter tree.
This is an introduction to MySQL, the presentation was made in a more talkative way, so you may find it a little bit vague, but I strongly recommend you to search for the topics that call your attention.
BITS: Introduction to relational databases and MySQL - SQLBITS
BITS: Introduction to relational databases and MySQL - Module2: Structured query language
See http://www.bits.vib.be/index.php?option=com_content&view=article&id=17204047:green-basics-of-databases&catid=81:training-pages&Itemid=190
Hands-On with U-SQL and Azure Data Lake Analytics (ADLA)Jason L Brugger
U-SQL is the query language for big data analytics on the Azure Data Lake platform. This session will explore the unification of SQL and C# in this new query language, examples of combining data from external sources such as Azure SQL Database and Blob storage with Azure Data Lake store, creating and referencing assemblies, job submission and tools. The ADL platform will also be compared and contrasted to the HDInsight/Hadoop platform.
Modern query optimisation features in MySQL 8.Mydbops
MySQL 8 (a huge leap forward), indexing capabilities, execution plan enhancements, optimizer improvements, and many other current query tweak features are covered in the slides.
A presentation I made for Apache Spark and Apache Cassandra Integration.
First I present what are some of the differences between RDBMS and NoSQL, then I proceed with the Cassandra infrastructure and usual errors when creating a Cassandra Data Model.
Finally, I provide the Spark underlying main concepts and some settings for proper configuration.
5_MariaDB_What's New in MariaDB Server 10.2 and Big Data Analytics with Maria...Kangaroot
Anders Karlsson, Principal Sales Engineer at MariaDB Corporation Ab
Join this session to learn more about all the new product features included in MariaDB Server 10.2.
After running over these new features, the presentation will cover MariaDB ColumnStore. MariaDB ColumnStore is a powerful open source columnar storage engine that supports a wide variety of analytical use cases with ANSI SQL in highly scalable distributed environments. It unifies OLTP and analytics workloads with a single ANSI SQL interface.
DataStax: An Introduction to DataStax Enterprise SearchDataStax Academy
1) Why We Built DSE Search
2) Basics of the Read and Write Paths
3) Fault-tolerance and Adaptive Routing
4) Analytics with Search and Spark
5) Live Indexing
A brief, but action-packed introduction to DataStax Enterprise Search. In this deck, we'll get an overview of DSE Search's value proposition, see some example CQL search queries, and dive into the details of the indexing and query paths.
This presentation by Bruce Momjian. Co-Founder of the Global PostgreSQL Development team and a Senior Architect at EDB. He demonstrates how to use arrays, geometry and JSON for NoSQL data types to overcome restrictions of relational storage to support new innovative applications, specifically by storing and indexing multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage.
Postgres has always had strong support for relational storage. However, there are some cases where relational storage might be inefficient or overly restrictive.
MySQL 5.7 is GA. Here is the news about our NoSQL features in MySQL and MySQL Cluster, with a lot of emphasize on the new JSON features that make MySQL suitable as a document store.
Storing time series data with Apache CassandraPatrick McFadin
If you are looking to collect and store time series data, it's probably not going to be small. Don't get caught without a plan! Apache Cassandra has proven itself as a solid choice now you can learn how to do it. We'll look at possible data models and the the choices you have to be successful. Then, let's open the hood and learn about how data is stored in Apache Cassandra. You don't need to be an expert in distributed systems to make this work and I'll show you how. I'll give you real-world examples and work through the steps. Give me an hour and I will upgrade your time series game.
As the de facto standard for large-scale data processing in the Java world, Apache Spark is the logical choice when you want to investigate big data processing. As a matter of fact, most resources online refer to the Scala API that is exposed by Spark. What to do if you and your company are much more comfortable with Java than the Scala language? These slides give pointers whether it makes sense to learn and introduce an entirely new language just for your big data processing.
1. MySQL Database Overview MySQL Database Overview Instructor: Rick Palmer, SCWCD [email_address]
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Editor's Notes
CRUD stands for Create, Read (Select), Update, and Delete. These are the four main operations performed against a database. SQL (Structured Query Language) is a standard dialect for communicating with a database using terms like “INSERT” for creating data, “SELECT” for querying data, “UPDATE” for updating data, and “DELETE” for deleting data.
Examples of an entity include real world object like a Vehicle, Employee, Order, or events like a Service Outage or a System Error. It’s the “thing” or set of things that a database represents, and the real-world objects around which businesses are based. Examples of Vehicle fields include properties of the Vehicle entity, such as the Vehicle year, make, model, and mileage. A record represents all the fields that describe the entity. If our database contains 3000 Vehicles, then it will have 300 rows of vehicles, each with their own distinct values in each field. A table is used to keep records for one entity separate from other entities, so that Vehicle records are stored separately from Employee records. In some ways, you can think of a table as a spreadsheet containing multiple rows and columns all related to the same entity. MySQL server contains multiple databases, which is common for database servers. Each database usually contains tables that are specific to an application or business group.
Once you have installed MySQL and have started the command line client using the instructions provided in the Lesson 6 instructions, you will see a mysql> prompt. Enter the above commands at the prompt and begin to explore the databases that come installed with MySQL.
![MySQL Database Overview MySQL Database Overview Instructor: Rick Palmer, SCWCD [email_address]](https://image.slidesharecdn.com/mysql-lecture2442/85/MySQL-lecture-1-320.jpg)
![Topics Covered ,[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)