The document describes a project to create a database of information from IMDB. It includes tables modeled after IMDB's data like movies, celebrities, genres, etc. populated from real IMDB data. Queries were performed to analyze the data, such as predicting movie ratings and total income by state. The project also compares Microsoft SQL Server and Oracle databases, and data is analyzed using Tableau for visualization.
Database such as MySQL and SQL server are an integral part of business, hospital, banks and universities. Immensely, Every person who have of access computer or technology eventually work on to store data.
Database such as MySQL and SQL server are an integral part of business, hospital, banks and universities. Immensely, Every person who have of access computer or technology eventually work on to store data.
Java DataBase Connectivity API (JDBC API)Luzan Baral
JDBC is a Java-based data access technology (Java Standard Edition platform) from Oracle Corporation. This technology is an API for the Java programming language that defines how a client may access a database. It provides methods for querying and updating data in a database. JDBC is oriented towards relational databases. A JDBC-to-ODBC bridge enables connections to any ODBC-accessible data source in the JVM host environment.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1eyam5s.
Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects. Filmed at qconlondon.com.
Howard Chu has been writing Free/Open Source software since the 1980s. His work has spanned a wide range of computing topics, including most of the GNU utilities (gcc, gdb, gmake, etc.), networking protocols and tools, kernel and filesystem drivers, and focused on maximizing the useful work from a system.
Движок LMDB — особенный чемпион / Юрьев Леонид (Петер-Сервис R&D)Ontico
Lightning Memory-Mapped Database (LMDB) представляет собой интересный, во многом уникальный движок базы данных класса Berkeley DB и Level DB с ребус-подобным исходным кодом. Будучи относительно малоизвестным, LMDB показывает ЧЕМПИОНСКУЮ производительность по чтению. Однако при интенсивной записи всё не так радужно…
Было ещё несколько проблем и недостатков, которые нам пришлось устранить, разбираясь в ребусах исходного кода. Доклад точно будет интересен разработчикам, интересующимся внутренностями баз данных или характеристиками отдельных движков.
Проект реализуется силами компании Петер-Сервис R&D, резидента Сколково, для применения в телеком-проектах федерального масштаба.
Информация о нашем проекте https://github.com/ReOpen/ReOpenLDAP/wiki, об исходной версии LMDB http://symas.com/mdb/.
Java DataBase Connectivity API (JDBC API)Luzan Baral
JDBC is a Java-based data access technology (Java Standard Edition platform) from Oracle Corporation. This technology is an API for the Java programming language that defines how a client may access a database. It provides methods for querying and updating data in a database. JDBC is oriented towards relational databases. A JDBC-to-ODBC bridge enables connections to any ODBC-accessible data source in the JVM host environment.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1eyam5s.
Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects. Filmed at qconlondon.com.
Howard Chu has been writing Free/Open Source software since the 1980s. His work has spanned a wide range of computing topics, including most of the GNU utilities (gcc, gdb, gmake, etc.), networking protocols and tools, kernel and filesystem drivers, and focused on maximizing the useful work from a system.
Движок LMDB — особенный чемпион / Юрьев Леонид (Петер-Сервис R&D)Ontico
Lightning Memory-Mapped Database (LMDB) представляет собой интересный, во многом уникальный движок базы данных класса Berkeley DB и Level DB с ребус-подобным исходным кодом. Будучи относительно малоизвестным, LMDB показывает ЧЕМПИОНСКУЮ производительность по чтению. Однако при интенсивной записи всё не так радужно…
Было ещё несколько проблем и недостатков, которые нам пришлось устранить, разбираясь в ребусах исходного кода. Доклад точно будет интересен разработчикам, интересующимся внутренностями баз данных или характеристиками отдельных движков.
Проект реализуется силами компании Петер-Сервис R&D, резидента Сколково, для применения в телеком-проектах федерального масштаба.
Информация о нашем проекте https://github.com/ReOpen/ReOpenLDAP/wiki, об исходной версии LMDB http://symas.com/mdb/.
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Microsoft released SQL Azure more than two years ago - that's enough time for testing (I hope!). So, are you ready to move your data to the Cloud? If you’re considering a business (i.e. a production environment) in the Cloud, you need to think about methods for backing up your data, a backup plan for your data and, eventually, restoring with Red Gate Cloud Services. In this session, you’ll see the differences, functionality, restrictions, and opportunities in SQL Azure and On-Premise SQL Server 2008/2008 R2/2012. We’ll consider topics such as how to be prepared for backup and restore, and which parts of a cloud environment are most important: keys, triggers, indexes, prices, security, service level agreements, etc.
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2. The Internet Movie Database(IMDB) is an online database of information related to
movies,TV shows,celebrities,genre,reviews,etc.The IMDB website enables registered users to
rate different movies,TVshows and actors on a scale of 1 to 10. It also enables users to search
different movies or TV shows of different genres on a single platform.
3. Prime focus of this project is to provide a generic functional database
of IMDB to access entertainment industry websites online.
For this purpose, we have gathered data from IMDB website and
have performed different SQL queries keeping in mind the user’s
perspective and expectations.
16. The model depicts gross collection and rating of the upcoming movies and the basis of popularity of
celebrity, director and previous movie reviews.
17.
18. TRANSACTION CONTROL: A transaction can be defined as a group of operations or tasks that should be treated
as a single unit. MS SQL Server will execute and commit each command/task individually, and it will be difficult or
impossible to roll back changes if any errors are encountered along the way. To properly group statements, the
“BEGIN TRANSACTION” command is used to declare the beginning of a transaction, and either a COMMIT
statement is used at the end. In Oracle, each new database connection is treated as new transaction. As queries are
executed and commands are issued, changes are made only in memory and nothing is committed until an explicit
COMMIT statement is given.
ORGANIZATION OF DATABASES: MS SQL Server organizes all objects, such as tables, views, and procedures, by
database names. Users are assigned to a login which is granted accesses to the specific database and its objects
whereas in ORACLE, all the database objects are grouped by schemas, which are a subset collection of database
objects and all the database objects are shared among all schemas and users.
REVERSE ENGG OF DATABASE: Tools like TOAD are used to reverse engineer a database in ORACLE while
MSSQL has an inbuilt functionality for the same.
WORKING WITH TRIGGERS: MS SQL has a set based approach. Rows that are affected by a data modification
(insert, update, delete) are stored in the inserted and deleted tables. In Oracle there are before and after triggers
and a trigger can be defined to be executed per row or per statement. Oracle disallows access to other rows of the
table as conceptually, the per row trigger is fired during the table modification for each row when the row is in the
process of being modified.
WORKING WITH BLOB: ORACLE stores image URL’s as datatype BLOB and while retrieving it represents as
(BLOB) whereas MSSQL datatype VARBINARY(MAX) and while retrieving data it represents as a set of binary
characters.
SYNTACTICAL DIFFERENCES BETWEEN THE 2.
19. Created and design IMDB database by checking the current version of imdb.com and built an ER
model with respect to it
Translated the ER model to normalized tables
Populated the real time data, analysed and extracted raw data from the imdb website
After incorporation of data in the databases (MsSQL, Oracle, Hive), the next step was to design an
analysis model like estimating the gross collection of the movie on the basis of previous movie
rating, celebrities, etc.
Analysed few general user questions on Tableau Software which provided Amazing Data
Visualization and helps in faster data interpretation
The applications of the model are many and are not limited to the above sample only.