An overview of the Database Management System, various uses and applications of database, internal architecture of popular RDBMS servers and thier features
The document discusses relational database management systems and their advantages over traditional file processing systems. It describes some key disadvantages of file processing systems like data redundancy, difficulty in accessing data, integrity problems, and security issues. It then explains some core components and concepts of relational database management systems like data independence, data models, entity-relationship diagrams, relational algebra, relational calculus, SQL, and integrity constraints. The document provides an overview of relational database management systems and their design and querying capabilities.
This document defines basic database terminology and concepts. It describes key terms like database, tables, fields, records, cells, and objects. It also explains the differences between a database instance and schema. Additionally, it outlines the three schema architecture and how it provides data independence. Finally, it briefly discusses database system components, interfaces, utilities, and classification.
The document discusses database concepts including:
- What a database is and its components like data, hardware, software, and users.
- Database management systems (DBMS) that enable users to define, create and maintain databases.
- Data models like hierarchical, network, and relational models. Relational databases using SQL are now most common.
- Database design including logical design, physical implementation, and application development.
- Key concepts like data abstraction, instances and schemas, normalization, and integrity rules.
This document provides an overview of databases and SQL. It defines a database as an organized collection of logically related data. It discusses different types of data and how data is transformed into information. The document also outlines the major components of SQL, including DDL, DML, DCL, and TCL statements. DDL is used to define the database structure, DML manages data, DCL controls privileges, and TCL manages transactions. Common SQL commands like SELECT, INSERT, UPDATE, DELETE are also highlighted.
This document provides an introduction to database concepts. It discusses the advantages of a database system compared to file processing, including reduced data redundancy, controlled inconsistency, shared data, standardized data, secured data, and integrated data. It also describes three levels of abstraction in a database - the physical level, conceptual level, and external or view level. Additionally, it covers database models including the relational, network, and hierarchical models as well as key database concepts such as primary keys, foreign keys, candidate keys, and alternate keys.
Database Terminology, Characteristics of Database, DBMS, Types of DBMS, Database Security and Recovery, Data Mining, Data Warehousing, Data Marts, SQL Overview, Java Database Connectivity, Indexes, Clustered and Non-Clustered Indexes, Failure Management with DB2 Cluster Services
Database is an organized collection of related data stored and accessed electronically. A database management system (DBMS) is a software application that interacts with users, other applications, and the database itself to capture and analyze data. The main components of a DBMS are data, software, hardware, personnel, and procedures. A DBMS provides features like data structuring, customization, retrieval, query languages, and multi-user access. The three main database models are hierarchical, network, and relational. A DBMS provides advantages like storing large amounts of information, sharing data, quick access, and increasing productivity while also having some disadvantages such as hardware/software costs and staff training.
The document provides an overview of key concepts in database management systems including:
- The benefits of using a DBMS over file systems such as data independence, data integrity, and concurrent access.
- The three levels of abstraction in a DBMS - physical, logical, and view level.
- Common data models including relational, entity-relationship, and object-oriented models.
- Database languages including data manipulation languages (DML) like SQL and data definition languages (DDL) to define schemas.
- Key components of a DBMS including storage management, query processing, and transaction management.
- Roles of database users and administrators.
This document discusses the fundamentals of database systems. It outlines four key characteristics: the self-describing nature of databases through metadata stored in the DBMS catalog; insulation between programs and data through program-data independence; support of multiple views of data through user-specific subsets or views; and sharing of data and multiuser transaction processing through concurrency control in a multiuser environment.
Companies and institutions use database software to organize and integrate their data in a centralized location. A database allows different departments and users to efficiently access and share common information. Key benefits of a database approach include reducing data redundancy, avoiding inconsistencies, enabling data sharing, enforcing standards, applying security restrictions, and maintaining data integrity.
This document provides an overview of database concepts and terminology. It discusses different types of databases based on number of users (single, multi, workgroup, enterprise), number of computers used (centralized, distributed), and how up-to-date the data is (production, data warehouse). It also covers database categorizations, the relational model, entity types and occurrences, relationship types and occurrences, attributes, keys, and E.F. Codd's 12 rules for relational databases.
DBMS stores data as files while RDBMS stores data in tabular form with relationships between tables. DBMS is meant for small organizations and single users, does not support normalization, and lacks security features. RDBMS supports large data, multiple users, normalization, security, distributed databases, and examples include MySQL, PostgreSQL, and Oracle. The key difference is that RDBMS represents data in tables with relationships while DBMS stores data as files without relationships.
1. Object databases store data as objects rather than in tables and rows like relational databases. They are recommended for complex data and high performance processing.
2. Object databases are designed to work well with object-oriented programming languages by supporting features like classes, inheritance, and late binding.
3. Early object database systems from the 1970s-1990s included Gemstone, O2, and Objectivity/DB. Commercial products were integrated with languages like Smalltalk, C++, and later Java.
This document provides an introduction to database management systems and relational databases. It defines key concepts such as data, databases, DBMS, and relations. It describes the goals of a DBMS in providing an efficient environment for data access and security. The document outlines the benefits of a database approach in reducing redundancy and inconsistencies. It also discusses database architecture, schemas, and data independence. Entity-relationship modeling and normalization techniques for logical database design are introduced.
The document discusses Edgar Frank "Ted" Codd, the inventor of the relational model for database management, and provides information on what a database is, why databases are needed, database abstraction levels, database architecture including two-tier and three-tier architectures. It defines a database as a collection of related files containing records, explains that databases make data easy to access and manage, and note that databases provide data security, integrity and concurrent access.
This document discusses database management systems (DBMS) and relational database management systems (RDBMS). It defines data and databases, lists examples of DBMS like Oracle and SQL Server, and describes the components, applications, advantages, and disadvantages of DBMS. It then defines RDBMS as a DBMS based on the relational model introduced by Dr. E.F. Codd. Codd developed 12 rules for RDBMS and the document lists some key differences between DBMS and RDBMS, including how relationships are defined and security features.
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a database management system that is based on the relational model introduced by Dr. E.F. Codd in 1970. Examples of RDBMS include Oracle, SQL Server, and DB2. The document lists some of the 12 rules defined by Dr. Codd for RDBMS and provides advantages like easier data manipulation and security, as well as disadvantages like requiring more expensive software and hardware.
This document discusses databases and their types. It defines data as raw facts without meaning, and information as processed data. A database is described as a collection of organized data that can be easily accessed and managed. The main types of databases discussed are operational databases for day-to-day operations, data warehouses for historical reports, external databases containing internet data, analytical databases for summarized insights, distributed databases across networked sites, end-user databases created locally, and cloud databases relying on remote technology. Advantages of databases include security, data sharing, redundancy elimination, and ensuring correctness and accuracy.
This document provides an overview of key concepts in database systems. It discusses the purpose of database systems in organizing and managing data, and how they offer solutions to problems with using file systems alone. The document also describes database languages, data models, database design principles, and the internal components and architecture of database management systems. It provides examples of relational databases and SQL queries. Finally, it discusses the history and evolution of database systems.
ADVANCE DATABASE MANAGEMENT SYSTEM CONCEPTS & ARCHITECTURE by vikas jagtapVikas Jagtap
The data that indicates the earth location (latitude & longitude, or height & depth ) of these rendered objects is known as spatial data.
When the map is rendered, objects of this spatial data are used to project the location of the objects on 2-Dimentional piece of paper.
The spatial data management systems are designed to make the storage, retrieval, & manipulation of spatial data (i.e points, lines and polygons) easier and natural to users, such as GIS.
While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types.
These are typically called geometry or feature.
The document provides an overview of database management systems (DBMS). It discusses DBMS applications, why DBMS are used, different users of databases, data models and languages like SQL. It also summarizes key components of a DBMS including data storage, query processing, transaction management and database architecture.
Prerequisies of DBMS
Course Objectives of DBMS
Syllabus
What is the meaning of data and database
DBMS
History of DBMS
Different Databases available in Market
Storage areas
Why to Learn DBMS?
Peoples who work with Databases
Applications of DBMS
This document discusses database operations and different types of databases. It describes how databases can import data, perform queries, sort data, and print reports. Relational databases are introduced as an improvement over flat-file databases by eliminating redundant data and reducing inconsistencies. Key database operations include querying, sorting, and generating reports from the stored data.
The document discusses Oracle Database performance tuning. It begins by defining performance as the accepted throughput for a given workload. Performance tuning is defined as optimizing resource use to increase throughput and minimize contention. A performance problem occurs when database tasks do not complete in a timely manner, such as SQL running longer than usual or users facing slowness. Performance problems can be caused by contention for resources, overutilization of the system, or poorly written SQL. The document discusses various performance diagnostics tools and concepts like wait events, enqueues, I/O performance, and provides examples of how to analyze issues related to these areas.
The document discusses Oracle database architecture including the relationship between Oracle software, operating system resources like CPUs, memory and disks, Oracle processes like background processes and server processes, and database structures like the system global area (SGA), program global area (PGA), control files, redo logs and data files. It also covers Oracle memory management, instance startup/shutdown, and basic database administration tasks.
The document discusses database management systems and their components. A DBMS is used to create and maintain the structure of a database to store, manipulate, and retrieve data. It provides functionality like data storage, security, multi-user access, backups, and data integrity. When developing a DBMS, the system development life cycle is followed, which includes phases like analysis, design, implementation, and maintenance. Entity-relationship modeling is also used to design databases by identifying the entities, attributes, and relationships between entities, such as one-to-one, one-to-many, and many-to-many.
Database is an organized collection of related data stored and accessed electronically. A database management system (DBMS) is a software application that interacts with users, other applications, and the database itself to capture and analyze data. The main components of a DBMS are data, software, hardware, personnel, and procedures. A DBMS provides features like data structuring, customization, retrieval, query languages, and multi-user access. The three main database models are hierarchical, network, and relational. A DBMS provides advantages like storing large amounts of information, sharing data, quick access, and increasing productivity while also having some disadvantages such as hardware/software costs and staff training.
The document provides an overview of key concepts in database management systems including:
- The benefits of using a DBMS over file systems such as data independence, data integrity, and concurrent access.
- The three levels of abstraction in a DBMS - physical, logical, and view level.
- Common data models including relational, entity-relationship, and object-oriented models.
- Database languages including data manipulation languages (DML) like SQL and data definition languages (DDL) to define schemas.
- Key components of a DBMS including storage management, query processing, and transaction management.
- Roles of database users and administrators.
This document discusses the fundamentals of database systems. It outlines four key characteristics: the self-describing nature of databases through metadata stored in the DBMS catalog; insulation between programs and data through program-data independence; support of multiple views of data through user-specific subsets or views; and sharing of data and multiuser transaction processing through concurrency control in a multiuser environment.
Companies and institutions use database software to organize and integrate their data in a centralized location. A database allows different departments and users to efficiently access and share common information. Key benefits of a database approach include reducing data redundancy, avoiding inconsistencies, enabling data sharing, enforcing standards, applying security restrictions, and maintaining data integrity.
This document provides an overview of database concepts and terminology. It discusses different types of databases based on number of users (single, multi, workgroup, enterprise), number of computers used (centralized, distributed), and how up-to-date the data is (production, data warehouse). It also covers database categorizations, the relational model, entity types and occurrences, relationship types and occurrences, attributes, keys, and E.F. Codd's 12 rules for relational databases.
DBMS stores data as files while RDBMS stores data in tabular form with relationships between tables. DBMS is meant for small organizations and single users, does not support normalization, and lacks security features. RDBMS supports large data, multiple users, normalization, security, distributed databases, and examples include MySQL, PostgreSQL, and Oracle. The key difference is that RDBMS represents data in tables with relationships while DBMS stores data as files without relationships.
1. Object databases store data as objects rather than in tables and rows like relational databases. They are recommended for complex data and high performance processing.
2. Object databases are designed to work well with object-oriented programming languages by supporting features like classes, inheritance, and late binding.
3. Early object database systems from the 1970s-1990s included Gemstone, O2, and Objectivity/DB. Commercial products were integrated with languages like Smalltalk, C++, and later Java.
This document provides an introduction to database management systems and relational databases. It defines key concepts such as data, databases, DBMS, and relations. It describes the goals of a DBMS in providing an efficient environment for data access and security. The document outlines the benefits of a database approach in reducing redundancy and inconsistencies. It also discusses database architecture, schemas, and data independence. Entity-relationship modeling and normalization techniques for logical database design are introduced.
The document discusses Edgar Frank "Ted" Codd, the inventor of the relational model for database management, and provides information on what a database is, why databases are needed, database abstraction levels, database architecture including two-tier and three-tier architectures. It defines a database as a collection of related files containing records, explains that databases make data easy to access and manage, and note that databases provide data security, integrity and concurrent access.
This document discusses database management systems (DBMS) and relational database management systems (RDBMS). It defines data and databases, lists examples of DBMS like Oracle and SQL Server, and describes the components, applications, advantages, and disadvantages of DBMS. It then defines RDBMS as a DBMS based on the relational model introduced by Dr. E.F. Codd. Codd developed 12 rules for RDBMS and the document lists some key differences between DBMS and RDBMS, including how relationships are defined and security features.
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a database management system that is based on the relational model introduced by Dr. E.F. Codd in 1970. Examples of RDBMS include Oracle, SQL Server, and DB2. The document lists some of the 12 rules defined by Dr. Codd for RDBMS and provides advantages like easier data manipulation and security, as well as disadvantages like requiring more expensive software and hardware.
This document discusses databases and their types. It defines data as raw facts without meaning, and information as processed data. A database is described as a collection of organized data that can be easily accessed and managed. The main types of databases discussed are operational databases for day-to-day operations, data warehouses for historical reports, external databases containing internet data, analytical databases for summarized insights, distributed databases across networked sites, end-user databases created locally, and cloud databases relying on remote technology. Advantages of databases include security, data sharing, redundancy elimination, and ensuring correctness and accuracy.
This document provides an overview of key concepts in database systems. It discusses the purpose of database systems in organizing and managing data, and how they offer solutions to problems with using file systems alone. The document also describes database languages, data models, database design principles, and the internal components and architecture of database management systems. It provides examples of relational databases and SQL queries. Finally, it discusses the history and evolution of database systems.
ADVANCE DATABASE MANAGEMENT SYSTEM CONCEPTS & ARCHITECTURE by vikas jagtapVikas Jagtap
The data that indicates the earth location (latitude & longitude, or height & depth ) of these rendered objects is known as spatial data.
When the map is rendered, objects of this spatial data are used to project the location of the objects on 2-Dimentional piece of paper.
The spatial data management systems are designed to make the storage, retrieval, & manipulation of spatial data (i.e points, lines and polygons) easier and natural to users, such as GIS.
While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types.
These are typically called geometry or feature.
The document provides an overview of database management systems (DBMS). It discusses DBMS applications, why DBMS are used, different users of databases, data models and languages like SQL. It also summarizes key components of a DBMS including data storage, query processing, transaction management and database architecture.
Prerequisies of DBMS
Course Objectives of DBMS
Syllabus
What is the meaning of data and database
DBMS
History of DBMS
Different Databases available in Market
Storage areas
Why to Learn DBMS?
Peoples who work with Databases
Applications of DBMS
This document discusses database operations and different types of databases. It describes how databases can import data, perform queries, sort data, and print reports. Relational databases are introduced as an improvement over flat-file databases by eliminating redundant data and reducing inconsistencies. Key database operations include querying, sorting, and generating reports from the stored data.
The document discusses Oracle Database performance tuning. It begins by defining performance as the accepted throughput for a given workload. Performance tuning is defined as optimizing resource use to increase throughput and minimize contention. A performance problem occurs when database tasks do not complete in a timely manner, such as SQL running longer than usual or users facing slowness. Performance problems can be caused by contention for resources, overutilization of the system, or poorly written SQL. The document discusses various performance diagnostics tools and concepts like wait events, enqueues, I/O performance, and provides examples of how to analyze issues related to these areas.
The document discusses Oracle database architecture including the relationship between Oracle software, operating system resources like CPUs, memory and disks, Oracle processes like background processes and server processes, and database structures like the system global area (SGA), program global area (PGA), control files, redo logs and data files. It also covers Oracle memory management, instance startup/shutdown, and basic database administration tasks.
The document discusses database management systems and their components. A DBMS is used to create and maintain the structure of a database to store, manipulate, and retrieve data. It provides functionality like data storage, security, multi-user access, backups, and data integrity. When developing a DBMS, the system development life cycle is followed, which includes phases like analysis, design, implementation, and maintenance. Entity-relationship modeling is also used to design databases by identifying the entities, attributes, and relationships between entities, such as one-to-one, one-to-many, and many-to-many.
This document summarizes Darpan Dekivadiya's seminar report on ad hoc networks from April 2011. It defines ad hoc networks as mobile wireless networks where nodes are directly connected to each other via wireless links without any centralized administration. The key characteristics of ad hoc networks are that they can operate without infrastructure, use multi-hop radio relaying, and have frequent topology changes due to node mobility. Some applications of ad hoc networks include military networks, emergency response, and sensor networks. The document then discusses the architecture of ad hoc networks based on the IEEE 802.11 standard and protocols for routing in these networks.
About the course:
This Oracle performance tuning online course is designed for the audience who want to learn basics and core concepts of Oracle PT. You will be learning about Introduction, basic tuning diagnostics, how to use automatic workload repository, defining of problems, how to create AWR baselines, monitoring of applications Etc. All Oracle performance tuning classes will be live and interactive.
Course Target:
Oracle performance tuning online training is designed to teach you fundamentals of PT.
Understand basic tuning diagnostics.
Learn how to use Automatic workload repository.
Obtain knowledge of using metrics and alerts.
Clear understanding of how to monitor applications.
Need to identify problem SQL statements
Learn how to influence the optimizer.
Understand SQL performance management.
Tuning the shared pool, I/0, Buffer cache, PGA and temporary space.
Course Targeted Audience:
Any candidate can join our Oracle performance tuning online course.
People who are from professional background can join.
Researches can also participate in this course.
Prerequisites:
Candidates with basic knowledge of computer.
Basics of database are recommended.
Training Format:
Kernel Training provides Oracle performance tuning online course led by real time expert.
Registered Candidates can interact with instructor in live interactive sessions.
Candidates will have life time access to learning material.
Companies Using Oracle PT:
Major international IT companies perform Oracle performance tuning for their operations.
This document discusses techniques for optimizing SQL performance in Oracle databases. It covers topics like optimizing the optimizer itself through configuration changes and statistics collection, detecting poorly performing SQL, and methods for improving plans such as indexing, partitioning, hints and baselines. The goal is to maximize the optimizer's accuracy and ability to handle edge cases, while also knowing how to intervene when needed to capture fugitive SQL and ensure acceptable performance.
An Oracle database instance consists of background processes that control one or more databases. A schema is a set of database objects owned by a user that apply to a specific application. Tables store data in rows and columns, and indexes and constraints help maintain data integrity and improve query performance. Database administrators perform tasks like installing and upgrading databases, managing storage, security, backups and high availability.
The document discusses tuning SQL queries in Oracle databases. It begins by noting that while tools can help, there is no single process for tuning every query as each case depends on factors like the schema design, data distribution and how the optimizer chooses a plan. The document then provides a methodology for investigating and tuning a query with poor performance, including getting the execution plan, checking it visually, and identifying possible causes like stale statistics, missing indexes or inefficient SQL.
The document discusses databases and database management systems (DBMS) and relational database management systems (RDBMS). It defines key terms like data, information, databases, DBMS, RDBMS and provides examples. It also summarizes the differences between DBMS and RDBMS and lists some popular RDBMS like Oracle, SQL Server, and Access. The document then focuses on Oracle, providing details on its components, tools and applications.
Best Practices for Building and Deploying Data Pipelines in Apache SparkDatabricks
Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
Data Scientists mainly use tools like SQL and Pandas to perform tasks like exploring data sets, understanding their structure, content, and relationships.
The document discusses various concepts related to database design and data warehousing. It describes how DBMS minimize problems like data redundancy, isolation, and inconsistency through techniques like normalization, indexing, and using data dictionaries. It then discusses data warehousing concepts like the need for data warehouses, their key characteristics of being subject-oriented, integrated, and time-variant. Common data warehouse architectures and components like the ETL process, OLAP, and decision support systems are also summarized.
Managing large chain of Hotels and ERP database comprises of core areas such as HRMS & PIP.HRMS (Human Resource Management System), which further includes areas such as Soft Joining, Promotion, Transfer, Confirmation, Leave Attendance and Exit, etc. PIP (Payroll Information Portal), wherein employees can view their individual Salary details, submit investment declaration, Reimbursement claim & CTC structuring, etc. Management of Large Chain of Hotels and ERP Database in AWS Cloud involves continuous monitoring with regards to the areas such as Performance of resource usages and optimization techniques relating to the use of PL/SQL. High Availability (HA) of data is accomplished through the Backup and Recovery mechanism and security of the data by Encryption & Decryption mechanism.
Oracle DBA Tutorial for Beginners -Oracle training institute in bangaloreTIB Academy
Get Oracle DBA Training through free Oracle DBA Tutorial, In this Oracle DBA Tutorial specially made for Beginners. You can download Oracle DBA Tutrial
The document provides information about the IBM PureData System for Analytics (Netezza). It discusses the components and architecture of the IBM PureData System models, including the N1001 and N2001 models. It explains the key hardware components like snippet blades, hosts, and storage arrays and how they work together using Netezza's Asymmetric Massively Parallel Processing architecture to optimize analytics workloads.
This document discusses NewSQL databases. It begins with an introduction that describes how enterprises need both reliable transaction processing and the ability to perform analytics on large datasets. This requires different database strategies that are often in conflict.
The document then provides details on NewSQL databases, including that they aim to overcome constraints of SQL and NoSQL databases. Key features of NewSQL databases are described, such as how they store data and provide security and support for big data. NewSQL databases are compared to SQL and NoSQL databases based on several parameters like ACID properties, storage, performance, consistency, and more. Overall, the document analyzes the rise of NewSQL databases as an attempt to achieve the benefits of both traditional SQL and No
The document discusses several database technologies including data definition language (DDL), embedded SQL, MySQL, Microsoft SQL Server, Oracle, and dynamic SQL. DDL deals with database schemas and descriptions of how data should reside in the database. Embedded SQL writes SQL statements into a high-level programming language. MySQL is an open-source SQL database supporting many platforms. Microsoft SQL Server and Oracle are relational database management systems with various features. Dynamic SQL facilitates automatic generation and execution of SQL statements based on varying conditions.
Oracle Database is a collection of data treated as a unit. The purpose of a database is to store and retrieve related information. Oracle Database was started in 1977 as Software Development Laboratories by Larry Ellison and others. Over time, Oracle released several major versions that added new functionality, such as Oracle 12c which was designed for cloud computing. A database server is the key to solving problems of information management by allowing storage, retrieval, and manipulation of data.
Evolution of the DBA to Data Platform Administrator/SpecialistTony Rogerson
DBA's used to be Relational Database centric for instance managing Microsoft SQL Server or Oracle, in this changing world of polyglot database environments their role has expanded not just into new platforms other than SQL but also new legal governance, modelling techniques, architecture etc. They need to have a base knowledge of Kimball, Inmon, Data Vault, what CAP theorem is, LAMBDA, Big Data, Data Science etc.
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
Prague data management meetup 2018-03-27Martin Bém
This document discusses different data types and data models. It begins by describing unstructured, semi-structured, and structured data. It then discusses relational and non-relational data models. The document notes that big data can include any of these data types and models. It provides an overview of Microsoft's data management and analytics platform and tools for working with structured, semi-structured, and unstructured data at varying scales. These include offerings like SQL Server, Azure SQL Database, Azure Data Lake Store, Azure Data Lake Analytics, HDInsight and Azure Data Warehouse.
A database is a large collection of integrated data that models real-world entities and relationships. A database management system (DBMS) is software that stores, manages, and provides access to databases. Key functions of a DBMS include data independence, efficient data access, data integrity and security, concurrent access, and crash recovery. While databases provide many advantages, their use requires substantial resources for setup, maintenance, and administration.
An perspective into the raise of NoSQL systems and an comparison between RDBMS and NoSQL technologies.
The basic idea of the presentation originated while trying to understand the different alternatives available for managing data while building a fast, highly scalable, available, and reliable enterprise application.
What Is Microsoft Fabric and Why You Should Care?
Unified Software as a Service (SaaS), offering End-To-End analytics platform
Gives you a bunch of tools all together, Microsoft Fabric OneLake supports seamless integration, enabling collaboration on this unified data analytics platform
Scalable Analytics
Accessibility from anywhere with an internet connection
Streamlines collaboration among data professionals
Empowering low-to-no-code approach
Components of Microsoft Fabric
Fabric provides comprehensive data analytics solutions, encompassing services for data movement and transformation, analysis and actions, and deriving insights and patterns through machine learning. Although Microsoft Fabric includes several components, this article will use three primary experiences: Data Factory, Data Warehouse, and Power BI.
Lake House vs. Warehouse: Which Data Storage Solution is Right for You?
In simple terms, the underlying storage format in both Lake Houses and Warehouses is the Delta format, an enhanced version of the Parquet format.
Usage and Format Support
A Lake House combines the capabilities of a data lake and a data warehouse, supporting unstructured, semi-structured, and structured formats. In contrast, a data Warehouse supports only structured formats.
When your organization needs to process big data characterized by high volume, velocity, and variety, and when you require data loading and transformation using Spark engines via notebooks, a Lake House is recommended. A Lakehouse can process both structured tables and unstructured/semi-structured files, offering managed and external table options. Microsoft Fabric OneLake serves as the foundational layer for storing structured and unstructured data
Notebooks can be used for READ and WRITE operations in a Lakehouse. However, you cannot connect to a Lake House with an SQL client directly, without using SQL endpoints.
On the other hand, a Warehouse excels in processing and storing structured formats, utilizing stored procedures, tables, and views. Processing data in a Warehouse requires only T-SQL knowledge. It functions similarly to a typical RDBMS database but with a different internal storage architecture, as each table’s data is stored in the Delta format within OneLake. Users can access Warehouse data directly using any SQL client or the in-built graphical SQL editor, performing READ and WRITE operations with T-SQL and its elements like stored procedures and views. Notebooks can also connect to the Warehouse, but only for READ operations.
An SQL endpoint is like a special doorway that lets other computer programs talk to a database or storage system using a language called SQL. With this endpoint, you can ask questions (queries) to get information from the database, like searching for specific data or making changes to it. It’s kind of like using a search engine to find things on the internet, but for your data stored in the Fabric system.
MySQL 8.0 is a big advancement over previous versions with a true data dictionary, invisible indexes, histograms, windowing functions, improved JSON support, CATS, and more
This document contains a professional summary and details for Satheesh Talluri. It outlines over 8 years of experience as an Oracle Database Administrator with skills in Oracle 11g, 10g, 9i, and other technologies. Recent roles include working as an Oracle DBA for AT&T in Dallas, Texas and managing critical online applications. Previous experience includes work as an Oracle DBA for IEEE.org and Mylan.
How iCode cybertech Helped Me Recover My Lost Fundsireneschmid345
I was devastated when I realized that I had fallen victim to an online fraud, losing a significant amount of money in the process. After countless hours of searching for a solution, I came across iCode cybertech. From the moment I reached out to their team, I felt a sense of hope that I can recommend iCode Cybertech enough for anyone who has faced similar challenges. Their commitment to helping clients and their exceptional service truly set them apart. Thank you, iCode cybertech, for turning my situation around!
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computer organization and assembly language : its about types of programming language along with variable and array description..https://www.nfciet.edu.pk/
Just-in-time: Repetitive production system in which processing and movement of materials and goods occur just as they are needed, usually in small batches
JIT is characteristic of lean production systems
JIT operates with very little “fat”
AI Competitor Analysis: How to Monitor and Outperform Your CompetitorsContify
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3. More about me12 years of Oracle DBA experience
Various Industry verticals
Retail, Insurance, Freight and Logistics
Interests: Linux, Perl, Python, C
Likes: Music, Food, Travel, …
6. Database Fundamentals
+ What is a Database Management System
+ Database Concepts
+ Popular Database Softwares
+ Database Applications
+ Working with Databases
+ Job roles and duties of Database Professionals
7. What is a Database
A Database Management System
Or just a database is a collection of
software programmes for
managing data,
It helps to STORE, RETRIEVE, and
MANIPULATE data in an efficient
manner.
8. Database Concepts
Database Model
A database model is a
type of data model
that defines the logical
structure of a
database and
determines in which
manner data can be
stored, organized, and
manipulated.
By Marcel Douwe Dekker - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=5679857
9. Database Concepts
The Relational model
Proposed by Edgar F. Codd in 1970 broke of
from the tradition of hierarchical model
and insisted that applications should
search for data by content, rather than
following links. The relational model
employs sets of ledger-style tables, each
used for a different type of entity.
By mid-1980s relational systems (DBMSs
plus applications) became popular owing
to the advent of better computer
hardware. (Source : Wikipedia)
By U.S. Department of Transportationvectorization: Own work - Data Integration Glossary., Public Domain, https://commons.wikimedia.org/w/index.php?curid=17875170
10. Database Concepts
Tables / Relations
A table is an accepted
visual representation
of a relation; a tuple is
similar to the concept
of a row. It is a set of
column definitions
along with the data
appearing in that
structure.
Columns /Attributes
Attribute is the term
used in the theory for
what is commonly
referred to as
a column.
Rows / Tuples
A row is a collection of
column values in a
specific order which
has a one to one
mapping with the
attribute name.
11. Database Concepts
Constraints
Constraints enforce
consistency of data in a
relational database.
Rules that govern data
stored in tables.
Rules to define
relationships between two
tables.
Primary Key, Foreign Key,
Not Null, Check, Unique.
Transaction
A transaction can be
defined as a group of
tasks. A single task is
the minimum
processing unit which
cannot be divided
further.
Transaction is
completed with a
Commit/Rollback
ACID Properties of
Transactions
Atomicity − This property states
that a transaction must be treated
as an atomic unit, that is, either all
of its operations are executed or
none.
Consistency − The database must
remain in a consistent state after
any transaction.
Durability − The database should be
durable enough to hold all its latest
updates even if the system fails or
restarts.
Isolation − In a multi transactional
database system, No transaction
will affect the existence of any other
transaction.
15. Working with databases
SQL (Structured Query
Language)
Declarative, Non-
Programming Language used
to Interact with the database.
Allows to CREATE, ALTER and
DROP Data objects i.e. Tables
and one can SELECT, INSERT,
UPDATE and DELETE data
from tables using SQL.
SQL Users
+ Database Application
Developers
+ Database Administrators
+ Data Analysts
16. Working with databases
SQL Basics
SQL Statements fall under the
following categories
+ DDL (Data Definition
Language)
+ DML (Data Manipulation
Language)
+ SELECT (query data from
one or more tables)
+ DCL (Data Control
Language)
+ TCL (Transaction Control
Language)
SQL Examples
create table emp(
empno number(4,0),
ename varchar2(10),
job varchar2(9),
mgr number(4,0),
hiredate date,
sal number(7,2),
comm number(7,2),
deptno number(2,0),
constraint pk_emp primary key (empno),
constraint fk_deptno foreign key (deptno) references dept (deptno)
);
insert into emp values( 7839, 'KING', 'PRESIDENT',
null, to_date('17-11-1981','dd-mm-yyyy'), 5000, null, 10);
SELECT EMP.*,DNAME,LOC FROM Emp, Dept WHERE Dname IN
('ACCOUNTING','RESEARCH') AND EMP.DEPTNO = DEPT.DEPTNO
ORDER BY EMP.DEPTNO
17. Working with databases
Programmability
Most popular databases have
a feature called STORED
PROCEDURES which are
program units that can be
created and stored within the
database
Helps to store business
specific logic within the
database which improves
performance
18. Job roles and duties of Database Professionals
Developers
• Responsible for creating and
managing application, Write code for
creating and managing frontent UI
• Write code for creating and
managing backend or business logic
• Design relational and logical design
of database and Perform
Normalization of tables
DBA
• Responsible for creating and
managing databases
• Take care of data security
• Support DB users when there is a
database problem
• Responsible for Managing DR and HA
Data Analysts
• Work on BI tools
• Create Business reports
• Perform trend analysis
21. Database Client Components
Database Client Drivers
+ Programmable APIs
written in a 3GL
+ Enables client applications
to connect and Interact
with RDBMS systems
independent of the RDBMS
implementation.
+ Eg : ODBC, JDBC, ADO.net
etc
Database Native Tools
+ Tools provided by the
RDBMS vendor to connect
and interact with the
RDBMS System
+ Vendor Specific
implementation/APIs
+ Provides more features
22. Database Server Components
DBMS Engine
+ Manage user
connections/sessions
+ Manage File I/O
+ Ensure data recoverability
and Consistency
Query Processor
+ Parse and Execute SQL
+ Ensure Read Consistency of
SELECT queries
+ Return Rows to users in the
case of SELECTs
+ Invoke transaction
processor for DMLsTransaction Processor
+ Begin and End Transactions
+ Manage ACID properties for the transaction
+ Assist query processor to maintain read
consistency
23. Database Server Components
Data Dictionary
+ Metadata repository
+ Set of tables which store
data about the DB objects
Job Scheduler
+ Manage database jobs
+ Monitor Job execution
+ Log job execution status
Query Optimizer
+ Prepare Execution plans for SQL
+ Optimizes Execution plan for better
performance.
30. Advantages
+ Cost Savings (Pay per use
model)
+ Need Based Provisioning
+ Reduce Investments,
Increase Returns
+ Lower operating costs
+ Standardization
Database in the Cloud : DBaaS
Technical Features
+ Consolidation Platform
+ Virtualization
+ Multi Tenancy
+ Provider Managed High
Availability and Disaster
Recovery
32. + Table and Index Partitions
+ Geo Spatial Data
+ Full Text Search
+ Database Replication
+ Database High Availability
+ Disaster Recovery
Database Features
40. Credits
Special thanks to all the people who made and
released these awesome resources for free:
+ Presentation template by SlidesCarnival
+ Photographs by Unsplash