This chapter introduces structured query language (SQL) and its use in retrieving and manipulating data from relational databases. The chapter objectives cover understanding SQL concepts like the SELECT-FROM-WHERE framework for queries, different SQL clauses and functions, and using SQL to query single and multiple tables. Examples are provided to illustrate SQL queries against sample data from tables representing sales data of a fictional outdoor retail company. The chapter also shows how to execute SQL queries using Microsoft Access, SQL Server, Oracle, and MySQL database tools.
Database management chapter 1 power pointmistydake
This chapter introduces databases and their key characteristics. It describes how data is stored and organized in tables with rows and columns. The chapter outlines the components of database systems like Microsoft Access and enterprise-level systems. These include the database itself, which stores data and metadata, as well as the database management system and query language. The chapter provides examples of common database applications and concludes with a brief history of database development.
- Oracle Database 11g introduced new features to simplify database administration and automate tasks. It provided up to 44% less administration time and 47% fewer steps compared to prior versions.
- British Telecommunications consolidated thousands of databases onto an Oracle Database 11g private cloud, reducing management costs by 20% and improving business agility. The consolidation standardizes deployment and reduced application deployment time from weeks to minutes.
- Dena Bank deployed Oracle databases and storage to improve ATM and core banking application performance. This enhanced customer service by increasing ATM transaction speeds by 80% and reducing declined transactions from 10% to less than 1%.
Oracle has evolved from its first release in 1979 to become a leading database with various editions that can be used by individuals, workgroups or enterprises, and it provides developer tools and supports different database structures, security mechanisms, SQL for data access and transactions. Key components of an Oracle database include control files, data files, redo log files, tablespaces that logically organize storage, and various memory and file structures.
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.
The document provides an overview of Oracle Database including its architecture, components, and functions. It discusses Oracle's three-level database architecture consisting of the external, conceptual, and internal levels. It also describes Oracle's memory structure including the shared pool, database buffer cache, and redo log buffer. Key Oracle background processes like DBWR, LGWR, PMON, SMON, and CKPT are summarized.
The document discusses the steps for creating an Oracle database instance, including understanding prerequisites, configuring initial settings, and using tools like the Database Configuration Assistant. It covers choosing a database type and management method, authentication options, storage mechanisms, and file management techniques. The key aspects are installing Oracle software, using DBCA or scripts to create the database, selecting initialization parameters, and starting/stopping the database instance.
Scott Neil is an Oracle DBA and SAP Basis Administrator with over 25 years of experience. He has worked in various roles such as DBA, technical architect, and project manager for many companies including GE Healthcare, Harley-Davidson, Northwestern Mutual, and Kohl's. Neil has expertise in Oracle, SQL Server, SAP, and other technologies. He holds an MBA and a bachelor's degree in management information systems.
Database management chapter 1 power pointmistydake
This chapter introduces databases and their key characteristics. It describes how data is stored and organized in tables with rows and columns. The chapter outlines the components of database systems like Microsoft Access and enterprise-level systems. These include the database itself, which stores data and metadata, as well as the database management system and query language. The chapter provides examples of common database applications and concludes with a brief history of database development.
- Oracle Database 11g introduced new features to simplify database administration and automate tasks. It provided up to 44% less administration time and 47% fewer steps compared to prior versions.
- British Telecommunications consolidated thousands of databases onto an Oracle Database 11g private cloud, reducing management costs by 20% and improving business agility. The consolidation standardizes deployment and reduced application deployment time from weeks to minutes.
- Dena Bank deployed Oracle databases and storage to improve ATM and core banking application performance. This enhanced customer service by increasing ATM transaction speeds by 80% and reducing declined transactions from 10% to less than 1%.
Oracle has evolved from its first release in 1979 to become a leading database with various editions that can be used by individuals, workgroups or enterprises, and it provides developer tools and supports different database structures, security mechanisms, SQL for data access and transactions. Key components of an Oracle database include control files, data files, redo log files, tablespaces that logically organize storage, and various memory and file structures.
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.
The document provides an overview of Oracle Database including its architecture, components, and functions. It discusses Oracle's three-level database architecture consisting of the external, conceptual, and internal levels. It also describes Oracle's memory structure including the shared pool, database buffer cache, and redo log buffer. Key Oracle background processes like DBWR, LGWR, PMON, SMON, and CKPT are summarized.
The document discusses the steps for creating an Oracle database instance, including understanding prerequisites, configuring initial settings, and using tools like the Database Configuration Assistant. It covers choosing a database type and management method, authentication options, storage mechanisms, and file management techniques. The key aspects are installing Oracle software, using DBCA or scripts to create the database, selecting initialization parameters, and starting/stopping the database instance.
Scott Neil is an Oracle DBA and SAP Basis Administrator with over 25 years of experience. He has worked in various roles such as DBA, technical architect, and project manager for many companies including GE Healthcare, Harley-Davidson, Northwestern Mutual, and Kohl's. Neil has expertise in Oracle, SQL Server, SAP, and other technologies. He holds an MBA and a bachelor's degree in management information systems.
This document is a resume for Christian Fotachwi seeking a position as an Oracle Database Administrator. It lists his extensive experience with Oracle database administration including managing databases on AWS, encryption, patching, upgrades, performance tuning, and more. It also outlines his experience with MongoDB administration and NoSQL databases. His professional experience includes roles at Carnegie Mellon University and Chaveran Inc. where he performed tasks such as database installation, configuration, backup/recovery, and troubleshooting.
Thejokumar Muduru is seeking a position as a Database Consultant or Senior Technical Lead with over 10 years of experience administering Oracle databases. He has extensive experience installing, configuring, patching, tuning, backing up and recovering Oracle databases from versions 8i through 11g. He is proficient in performance monitoring, high availability solutions, disaster recovery and database upgrades. His technical skills include Oracle, Linux, SQL, PL/SQL and shell scripting.
The document provides an overview of the Oracle database including its architecture, components, and features. It discusses Oracle's memory structure consisting of the shared pool, database buffer cache, and redo log buffer. It describes Oracle's process structure including background processes like DBWR, LGWR, PMON and SMON. It also covers Oracle's storage structure such as datafiles, redo logs, control files and the physical and logical storage architectures including tablespaces, segments, extents and blocks.
Sam Barrie has over 19 years of experience as a senior Oracle DBA. He has extensive experience installing, configuring, and managing Oracle databases from versions 7-12c. He has worked on databases ranging in size from 10GB to over 100TB. Barrie also has experience with database performance tuning, backup/recovery, disaster recovery, and high availability configurations like RAC and Data Guard. He is proficient in SQL, PL/SQL, and Unix scripting.
Siva Anandhan is seeking a leadership position as a database administrator with over 20 years of experience in roles at various companies including AXA, Standard Chartered Bank, Deutsche Bank, and more. He has extensive expertise in Oracle, SQL Server, Linux, and other technologies. Some of his responsibilities have included database migrations, performance tuning, security management, and technical training. He is currently a senior database administrator and integration manager at AXA in Japan.
FileTable and Semantic Search in SQL Server 2012Michael Rys
The document discusses new capabilities for managing and analyzing unstructured data in SQL Server 2012. Key points include:
- SQL Server 2012 introduces FileTable which allows storing and accessing files and folders through standard file system APIs while storing the file data and metadata in SQL Server tables.
- Full-text search is improved with better performance and ability to scale to hundreds of millions of documents. New capabilities like property search and customizable "near" operator are also introduced.
- Semantic search allows extracting keywords and identifying related content based on statistical analysis, without requiring ontologies. It provides insight into unstructured text content.
M. Subba Reddy has over 2.9 years of experience as an Oracle Database Administrator. He has expertise in configuring Oracle Data Guard for high availability, performing switchovers for testing, and managing backups and restores using RMAN. He currently works as an Oracle DBA at IBM through future focus info payroll, where his responsibilities include maintaining Data Guard configurations and performing planned switchovers. Previously he worked as an Oracle DBA at Sun Matrix Solutions.
Shaik. Subhani is an Oracle Database Administrator with over 5 years of experience working with Oracle 10g and 11g databases. He has extensive experience installing, configuring, administering and troubleshooting Oracle databases. Some of his key skills include RAC administration, backup and recovery strategies using RMAN, cloning databases, and monitoring and resolving database issues. He has worked on various projects as an Oracle DBA for companies such as TATA Consultancy Services, Megasoft Limited, and Uclid IT Services.
This document contains a summary of G. Avanthi's career profile as an Oracle DBA. It outlines her 3 years of experience as an Oracle DBA, including responsibilities like database installation, user management, tablespace creation and management, backup and recovery using RMAN, and experience with technologies like Data Guard, Data Pump utilities, and ASM. Her most recent role was as an Oracle DBA for JP Morgan Chase working with Wipro Technologies in Hyderabad for 16 months.
Narendra_Oracle DBA_4.1 years of expriances_BangaloreNaremdra L
Narendra has over 4 years of experience as an Oracle DBA. He has expertise in database administration tasks like installation, configuration, backups, cloning, and upgrades. He is proficient with tools like RMAN, Data Pump, and ASM. Currently working as an Oracle DBA for SCL Singapore, his responsibilities include maintaining primary and standby databases, performing backups, and troubleshooting issues. Previously he worked as an Oracle DBA for MRPL Mangalore where he managed user accounts, tablespaces, and performed backups using RMAN and logical methods.
This document provides an overview of an Oracle DBA walkthrough presentation. It includes a table of contents covering topics like the duties of database administrators, memory and process architecture, instance startup and shutdown, and tools for DBAs. It also introduces the presenter, Akash Pramanik, who is an Oracle DBA by profession and freelance trainer.
Avneet Singh is an Oracle Database Administrator with over 7 years of experience administering Oracle databases. He has extensive experience installing, configuring, tuning and managing Oracle databases. He is proficient in Oracle technologies like RAC, Data Guard and ASM. Currently he works as a Senior DBA at American Express where he manages Oracle, PostgreSQL and SQL Server databases.
Oracle stores data logically in tablespaces and physically in datafiles associated with the corresponding tablespace. Tablespaces can be created, altered by resizing datafiles, have additional datafiles added, and dropped along with their contents. Users are created with a default tablespace assigned and granted privileges like connect and resource privileges.
No matches found
What is C A on DOB = Appt Date?
Clients Appointments
Joins
Service Appt Date
Nails 5/1/2013
Hair 7/5/2013
Hair 9/1/2013
Name Phone Address DOB
Anna 215-123-4567 123 City
Lane
8/14/1995
Nathan 267-333-4444 999 Oak
Blvd
6/1/1998
What is C A on DOB = Appt Date ?
Clients Appointments
second iteration: find every appointment with an Appt Date of 6/1/1998
Joins
Service Appt Date
Nails 5/1/2013
Himanshu Jain is a database administrator with over 12 years of experience working with Oracle databases. He has extensive experience working with clients in Germany, the UK, France and Sri Lanka. He is currently employed by TCS in Dusseldorf, Germany and holds a Master's degree in Computer Application from India.
Shailendra Kumar Gupta is seeking a position as a DBA Consultant. He has over 3.8 years of experience working with Oracle 10g and 11g as a Database Administrator. He is proficient in SQL, Oracle, Linux, and Microsoft applications. He has experience performing tasks like database installation, management and administration, backup and recovery, performance tuning, and providing client support. He is looking to utilize his skills and experience in Oracle for the benefit of an organization.
This document provides an overview of Oracle DBA training topics including relational database management systems (RDBMS), RDBMS and SQL, DBA tasks, Oracle database architecture, Oracle instance architecture, background processes, system global area (SGA), shared pool, library cache, and data dictionary cache. Key points covered include how RDBMS stores and accesses data through tables, the roles of consistency and concurrency in RDBMS, common DBA responsibilities like installation, backup/recovery, monitoring and performance tuning, and important components that make up the Oracle database architecture like instances, processes, memory structures, and caches.
This document discusses the entity-relationship (ER) model for conceptual database design. It defines key concepts like entities, attributes, relationships, keys, and participation constraints. Entities can be strong or weak, and attributes can be simple, composite, multi-valued, or derived. Relationships associate entities and can specify cardinality like one-to-one, one-to-many, or many-to-many. The ER model diagrams the structure and constraints of a database before its logical and physical implementation.
This document is a resume for Christian Fotachwi seeking a position as an Oracle Database Administrator. It lists his extensive experience with Oracle database administration including managing databases on AWS, encryption, patching, upgrades, performance tuning, and more. It also outlines his experience with MongoDB administration and NoSQL databases. His professional experience includes roles at Carnegie Mellon University and Chaveran Inc. where he performed tasks such as database installation, configuration, backup/recovery, and troubleshooting.
Thejokumar Muduru is seeking a position as a Database Consultant or Senior Technical Lead with over 10 years of experience administering Oracle databases. He has extensive experience installing, configuring, patching, tuning, backing up and recovering Oracle databases from versions 8i through 11g. He is proficient in performance monitoring, high availability solutions, disaster recovery and database upgrades. His technical skills include Oracle, Linux, SQL, PL/SQL and shell scripting.
The document provides an overview of the Oracle database including its architecture, components, and features. It discusses Oracle's memory structure consisting of the shared pool, database buffer cache, and redo log buffer. It describes Oracle's process structure including background processes like DBWR, LGWR, PMON and SMON. It also covers Oracle's storage structure such as datafiles, redo logs, control files and the physical and logical storage architectures including tablespaces, segments, extents and blocks.
Sam Barrie has over 19 years of experience as a senior Oracle DBA. He has extensive experience installing, configuring, and managing Oracle databases from versions 7-12c. He has worked on databases ranging in size from 10GB to over 100TB. Barrie also has experience with database performance tuning, backup/recovery, disaster recovery, and high availability configurations like RAC and Data Guard. He is proficient in SQL, PL/SQL, and Unix scripting.
Siva Anandhan is seeking a leadership position as a database administrator with over 20 years of experience in roles at various companies including AXA, Standard Chartered Bank, Deutsche Bank, and more. He has extensive expertise in Oracle, SQL Server, Linux, and other technologies. Some of his responsibilities have included database migrations, performance tuning, security management, and technical training. He is currently a senior database administrator and integration manager at AXA in Japan.
FileTable and Semantic Search in SQL Server 2012Michael Rys
The document discusses new capabilities for managing and analyzing unstructured data in SQL Server 2012. Key points include:
- SQL Server 2012 introduces FileTable which allows storing and accessing files and folders through standard file system APIs while storing the file data and metadata in SQL Server tables.
- Full-text search is improved with better performance and ability to scale to hundreds of millions of documents. New capabilities like property search and customizable "near" operator are also introduced.
- Semantic search allows extracting keywords and identifying related content based on statistical analysis, without requiring ontologies. It provides insight into unstructured text content.
M. Subba Reddy has over 2.9 years of experience as an Oracle Database Administrator. He has expertise in configuring Oracle Data Guard for high availability, performing switchovers for testing, and managing backups and restores using RMAN. He currently works as an Oracle DBA at IBM through future focus info payroll, where his responsibilities include maintaining Data Guard configurations and performing planned switchovers. Previously he worked as an Oracle DBA at Sun Matrix Solutions.
Shaik. Subhani is an Oracle Database Administrator with over 5 years of experience working with Oracle 10g and 11g databases. He has extensive experience installing, configuring, administering and troubleshooting Oracle databases. Some of his key skills include RAC administration, backup and recovery strategies using RMAN, cloning databases, and monitoring and resolving database issues. He has worked on various projects as an Oracle DBA for companies such as TATA Consultancy Services, Megasoft Limited, and Uclid IT Services.
This document contains a summary of G. Avanthi's career profile as an Oracle DBA. It outlines her 3 years of experience as an Oracle DBA, including responsibilities like database installation, user management, tablespace creation and management, backup and recovery using RMAN, and experience with technologies like Data Guard, Data Pump utilities, and ASM. Her most recent role was as an Oracle DBA for JP Morgan Chase working with Wipro Technologies in Hyderabad for 16 months.
Narendra_Oracle DBA_4.1 years of expriances_BangaloreNaremdra L
Narendra has over 4 years of experience as an Oracle DBA. He has expertise in database administration tasks like installation, configuration, backups, cloning, and upgrades. He is proficient with tools like RMAN, Data Pump, and ASM. Currently working as an Oracle DBA for SCL Singapore, his responsibilities include maintaining primary and standby databases, performing backups, and troubleshooting issues. Previously he worked as an Oracle DBA for MRPL Mangalore where he managed user accounts, tablespaces, and performed backups using RMAN and logical methods.
This document provides an overview of an Oracle DBA walkthrough presentation. It includes a table of contents covering topics like the duties of database administrators, memory and process architecture, instance startup and shutdown, and tools for DBAs. It also introduces the presenter, Akash Pramanik, who is an Oracle DBA by profession and freelance trainer.
Avneet Singh is an Oracle Database Administrator with over 7 years of experience administering Oracle databases. He has extensive experience installing, configuring, tuning and managing Oracle databases. He is proficient in Oracle technologies like RAC, Data Guard and ASM. Currently he works as a Senior DBA at American Express where he manages Oracle, PostgreSQL and SQL Server databases.
Oracle stores data logically in tablespaces and physically in datafiles associated with the corresponding tablespace. Tablespaces can be created, altered by resizing datafiles, have additional datafiles added, and dropped along with their contents. Users are created with a default tablespace assigned and granted privileges like connect and resource privileges.
No matches found
What is C A on DOB = Appt Date?
Clients Appointments
Joins
Service Appt Date
Nails 5/1/2013
Hair 7/5/2013
Hair 9/1/2013
Name Phone Address DOB
Anna 215-123-4567 123 City
Lane
8/14/1995
Nathan 267-333-4444 999 Oak
Blvd
6/1/1998
What is C A on DOB = Appt Date ?
Clients Appointments
second iteration: find every appointment with an Appt Date of 6/1/1998
Joins
Service Appt Date
Nails 5/1/2013
Himanshu Jain is a database administrator with over 12 years of experience working with Oracle databases. He has extensive experience working with clients in Germany, the UK, France and Sri Lanka. He is currently employed by TCS in Dusseldorf, Germany and holds a Master's degree in Computer Application from India.
Shailendra Kumar Gupta is seeking a position as a DBA Consultant. He has over 3.8 years of experience working with Oracle 10g and 11g as a Database Administrator. He is proficient in SQL, Oracle, Linux, and Microsoft applications. He has experience performing tasks like database installation, management and administration, backup and recovery, performance tuning, and providing client support. He is looking to utilize his skills and experience in Oracle for the benefit of an organization.
This document provides an overview of Oracle DBA training topics including relational database management systems (RDBMS), RDBMS and SQL, DBA tasks, Oracle database architecture, Oracle instance architecture, background processes, system global area (SGA), shared pool, library cache, and data dictionary cache. Key points covered include how RDBMS stores and accesses data through tables, the roles of consistency and concurrency in RDBMS, common DBA responsibilities like installation, backup/recovery, monitoring and performance tuning, and important components that make up the Oracle database architecture like instances, processes, memory structures, and caches.
This document discusses the entity-relationship (ER) model for conceptual database design. It defines key concepts like entities, attributes, relationships, keys, and participation constraints. Entities can be strong or weak, and attributes can be simple, composite, multi-valued, or derived. Relationships associate entities and can specify cardinality like one-to-one, one-to-many, or many-to-many. The ER model diagrams the structure and constraints of a database before its logical and physical implementation.
The document discusses the relational model of databases. It defines key concepts like relations, tuples, attributes, domains, and keys. It provides an example database schema for an auction application with relations for owners, items, bids, and buyers. It explains that a relation is a set of tuples with a common schema where each tuple maps attribute names to values from predefined domains. It also defines the different types of keys like superkeys and primary keys.
The document discusses the relational data model structure and operations. It describes the key concepts of the relational data model including relations, attributes, tuples/rows, domains, schemas, keys such as candidate keys and foreign keys. It also explains the basic relational algebra operations like selection, projection, union, set difference, intersection and cartesian product along with examples.
This document contains examples of entity relationship diagrams (ERDs) modeling different domains such as employees, projects, courses, physicians, patients, treatments, beds, rooms, items, and costs. It also includes questions about enhancing or validating aspects of the ERDs. The ERDs use entities like employee, project, course, physician, patient, treatment, bed, room, item, and center connected by relationships like assigns, admits, treats, refers, performs, and bills to model things like staffing, medical care, inventory, and billing. Short answers are provided to questions about adding attributes to entities or validating aspects of the relationships in the ERDs.
This document provides an introduction to databases including:
- It defines what a database is and how data is organized into tables with rows and columns.
- It discusses some common database management systems like Microsoft Access, MySQL, and SQL Server.
- It outlines some key components of a database management system environment including hardware, software, data, procedures, and people.
- It also briefly mentions some potential disadvantages of database management systems like complexity, size, costs, and performance issues.
This document provides an overview of database system concepts and architecture. It discusses different data models including conceptual, physical and implementation models. It also covers database languages, interfaces, utilities and centralized versus distributed (client-server) architectures. Specifically, it describes hierarchical and network data models, the three schema architecture, data independence, DBMS languages like DDL and DML, and different DBMS classifications including relational, object-oriented and distributed systems.
This document provides an overview of database management systems (DBMS). It defines key terms like data, database, and DBMS. It describes the basic components and architecture of a DBMS, including the three-scheme architecture and client-server models. The document also outlines important DBMS properties such as completeness, integrity, flexibility, efficiency and usability. Additionally, it discusses common DBMS types, features, and how they are used to define databases, access data nonprocedurally, develop applications, and ensure transaction processing and database tuning.
This document describes four types of databases: hierarchical, network, relational, and object-oriented. Hierarchical databases organize data in a tree structure with parent-child relationships. Network databases use a many-to-many relationship structure like a graph. Relational databases organize data into tables with rows and columns. Object-oriented databases store reusable software objects that contain data and instructions.
This document provides an overview of database management systems and related concepts. It discusses data hierarchy, traditional file processing, the database approach to data management, features and capabilities of database management systems, database schemas, components of database management systems, common data models including hierarchical, network, and relational models, and the process of data normalization.
Modern database management jeffrey a. hoffer, mary b. prescott, BlackIce86
The document summarizes a grading system for a course with the following key points:
- The course grade is made up of exams (40%), a project (15%), and lab exercises (25%)
- Exams include 4 chapter exams worth 10-15% each and a SQL exam worth 10%
- The project is worth 15% and lab exercises are worth 25% of the final grade
The document discusses database management systems (DBMS). It explains that a DBMS is software that stores and manages databases to provide benefits like data independence, efficient access, integrity and security. It also discusses key DBMS concepts like data models, schemas, transactions, concurrency control and ensuring atomicity through logging. DB application development and database administration are important roles supported by a DBMS.
The document provides information about database management systems. It defines a DBMS as software that allows storage, retrieval, modification and deletion of data from a database. It then discusses different types of DBMS like hierarchical, network, relational, flat file and object oriented. Examples of popular DBMS are also listed including SQL, Oracle, FoxPro, MS Access and MySQL. Key advantages of DBMS are efficient data storage, security, concurrent access and integrity maintenance.
This document defines and describes several types of databases. It discusses document-oriented databases, which store semi-structured data like documents; embedded databases, which consist of individual end-user data; graph databases, which use graph structures to represent information; hypertext databases, which organize large amounts of disparate information; operational databases, which store detailed organizational operations data; distributed databases, which store data across multiple interconnected computers; and flat-file databases, which are suited for small amounts of manually editable data.
This document provides an introduction and overview of databases and the basic operations used to manage data in a database using Microsoft Access 2007. It defines what a database is, how data is organized in tables with rows and columns, and when it is appropriate to use a database. It also outlines and provides examples of the basic CRUD (create, read, update, delete) operations used in structured query language (SQL) to manipulate data, including inserting, selecting, updating, and deleting records from database tables.
The document provides an overview of entity-relationship (E-R) modeling concepts including:
- Entity sets represent collections of real-world entities that share common properties
- Relationship sets define associations between entity sets
- Attributes provide additional information about entities and relationships
- Keys uniquely identify entities and relationships
- Cardinalities constrain how entities can participate in relationships
- E-R diagrams visually depict entity sets, attributes, relationships and constraints.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
This document discusses the key components of a database system including applications, file systems, data views, query processors, users and administrators, data languages, transaction management, and storage managers. It provides examples of common database applications and describes how data is abstracted at the physical, logical, and view levels. It also explains the roles of DDL, DML, transactions, and storage managers in database design and management.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
The document discusses the history and evolution of Oracle Database from its beginnings in 1977 through version 12c. It describes how early versions introduced SQL and basic reliability features, and how subsequent versions added capabilities like distributed processing, transactions, PL/SQL, and Real Application Clusters. It also summarizes how new pluggable database and in-memory technologies in version 12c allow for more efficient consolidation of databases and management of storage.
Yaseen Edappil is seeking a challenging position as an Oracle DBA. He has over 6 years of experience as an Oracle DBA providing production support on Oracle databases. He is Oracle certified with OCP 12c and 10g certifications. At his previous role at Capgemini, he provided Oracle DBA support to Warner Bros, managing critical databases and performing administration, upgrades, automation, backup/recovery and performance tuning. He has expertise in Oracle 12c, 11g, and 10g databases as well as Oracle EBS 11i/R12.
Using your DB2 SQL Skills with Hadoop and SparkCynthia Saracco
Learn about Big SQL, IBM's SQL interface for Apache Hadoop based on DB2's query engine. We'll walk through some code example and discuss Spark integration for JDBC data sources (DB2 and Big SQL) using examples from a hands-on lab. Explore benchmark results comparing Big SQL and Spark SQL at 100TB. This presentation was created for the DB2 LUW TRIDEX Users Group meeting in NYC in June 2017.
MOUG17 Keynote: Oracle OpenWorld Major AnnouncementsMonica Li
Midwest Oracle Users Group Training Day 2017 Presentation by Rich Niemiec, Chief Innovation Officer at Viscosity North America.
Catch up on OOW17's top announcements in this 1 hour presentation.
McMaster University implemented Oracle Exadata Cloud at Customer (EXACC), which included two Exadata servers on campus managed by Oracle. The implementation involved preparing infrastructure, hardware delivery and software installation by Oracle, integration with McMaster systems, and defining operational roles between Oracle, McMaster operations, and the DBA team. Databases were migrated to EXACC using tools like the Cloud UI, DBCA, and strategies like import/export, transportable tablespaces, and restore/clone. Key EXACC features adopted by McMaster included multitenancy for rapid provisioning, cloning, and consolidation, and partitioning for improved performance.
This resume is for Surendra Kumar Maddi, an Oracle database administrator with over 8 years of experience. He has expertise in Oracle database administration including installations, upgrades, high availability configurations, performance tuning, and disaster recovery solutions. He is proficient in Oracle Applications administration and has experience with E-Business Suite 11i and R12. His technical skills include Oracle 9i, 10g, 11g, 12c, UNIX, Solaris, Linux, and tools such as OEM, TOAD, RMAN, SQL Loader. He has worked as a senior DBA for several clients, including Adient US, Johnson Controls, and Cisco Systems.
App301 Implement a Data Access Layer with Ent Libmcgurk
This document summarizes Brian Noyes' presentation on implementing a data access layer using the Enterprise Library Data Access Application Block (DAAB). It discusses data access strategies and object types, as well as an overview of the Enterprise Library and DAAB. It also covers integrating DAAB into an application and how to use it, including creating database objects, commands, parameters and executing queries. Design considerations for a data access layer are also provided.
This document summarizes a comparison of indexing between Oracle and SQL Server databases. It describes how indexes are structured differently in each platform, with Oracle using PCTFREE to control free space in blocks and SQL Server using FILLFACTOR. Tests were conducted inserting and deleting data in each to observe how indexes are impacted. The results showed that Oracle indexes were less affected by fragmentation while SQL Server indexes experienced more page splits leading to fragmentation issues. Maintaining indexes also differed, with SQL Server potentially facing more challenges with its clustered index structure.
Hasnath Fathema has over 16 years of experience as an Oracle AppsDBA and database administrator. He has extensive experience installing, configuring, and managing Oracle E-Business Suite R12 systems, Oracle databases, and Linux environments. He is proficient in backup and recovery, high availability, and performance tuning. Currently he is a Senior Manager at Partex Star Group, where he maintains Oracle EBS R12 production systems.
Oracle Application Express 20.2 New Featuresmsewtz
This document provides a summary of new features in Oracle APEX 20.2, including:
- Enhancements to Faceted Search such as conditional facets, compact count displays, and visualization of facet values.
- Improved report printing capabilities including built-in PDF printing support for additional languages and export data functionality.
- New automation capabilities to trigger conditional actions based on database or remote data source changes.
- A new Cards region for presenting varied information in small blocks, enhanced REST data source functionality, and updated developer tools.
Oracle Database 12c includes over 500 new features. Some key new features include:
- Oracle Database 12c Express (EM Express) which replaces Database Control and has less features than Database Control but does not require Java or an app server.
- New online capabilities like online DDL operations with no DDL locking, online move of partitions with no impact to queries, and online statistics gathering for bulk loads.
- Adaptive SQL Plan Management which allows the optimizer to select a more optimal plan at execution time based on current statistics.
- Multitenant architecture which allows consolidation of multiple databases into one container database with pluggable databases.
Terry Hendrickson has over 15 years of experience as a software/database developer with expertise in SQL Server, Oracle, Visual Basic, VB.NET, T-SQL, PL/SQL, ETL, Crystal Reports, and other technologies. He has worked on projects involving database development, reporting, ETL, and application development for companies across various industries. Hendrickson holds an Associate's Degree in Computer Information Systems and Business Management.
The document discusses consolidating multiple databases into a single database in Oracle 11gR2. It outlines challenges in consolidation including different workloads, schemas, and security policies between databases. Goals of consolidation are reducing costs, standardizing management, and improving availability. Proper planning is key, including understanding applications, hardware, and new Oracle 11gR2 capabilities before implementing consolidation in stages.
The document discusses how PostgreSQL can be used as both a relational and NoSQL database, allowing it to meet more development needs than NoSQL databases alone. It outlines PostgreSQL's support for JSON and key-value storage, allowing it to store hierarchical and schemaless data like NoSQL databases while also providing SQL capabilities. This hybrid approach avoids issues like data silos that can occur with only using NoSQL solutions.
The document provides guidance on migrating to Oracle Autonomous Database Cloud using various methods. It discusses using DBMS_CLOUD to load data directly from object storage, using Oracle Data Pump to export and import data between databases, and using SQL*Loader to load data from flat files. It also covers using Oracle SQL Developer which provides wizards and tools to simplify the migration process. The document highlights important considerations for each method such as the source database version and file format and location. It provides examples for executing each migration method.
This document is a resume for Mohammed Mukarram Gulam, an Oracle certified database administrator with experience in database administration, performance tuning, data analytics, and ETL tool development. He has expertise in Oracle 11g/12c, PL/SQL, SQL Server, and Informatica. His education includes a master's degree in computer engineering and experience includes projects in data modeling, predictive analytics, and database recovery techniques.
Munir Muhammad has over 15 years of experience as an Oracle PL/SQL and ETL developer. He currently works as a senior database developer at JP Morgan Chase, where he supports various projects involving Oracle E-Business Suite. Previously, he held roles as a senior data warehouse developer at Barclays Bank and as a senior Oracle developer for the Department of Correction in Delaware. He has extensive experience with Oracle databases, PL/SQL, ETL processes, data modeling, and report development.
This document discusses Oracle Database 19c and the concept of a converged database. It begins with an overview of new features in Oracle Database 19c, including direct upgrade paths, new in-memory capabilities, and improvements to multitenant architecture. It then discusses the concept of a converged database that can support multiple data types and workloads within a single database compared to using separate single-purpose databases. The document argues that a converged database approach avoids issues with data consistency, security, availability and manageability between separate databases. It notes Oracle Database's support for transactions, analytics, machine learning, IoT and other workloads within a single database. The document concludes with an overview of Oracle Database Performance Health Checks.
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Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
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Building Production Ready Search Pipelines with Spark and MilvusZilliz
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
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Diese Themen werden behandelt
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
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van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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