SQLData Standard for Oracle to SQL Server

August 11, 2022

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Developer’s Description

1: What does the registration key mean?

A registration key is a one-of-a-kind ID generated by the FME Licensing Assistant from system data. It's Safe's way of limiting a single fixed license to a single computer.

2: What is a registration key number?

A registration key is a code of letters and numbers that allows access to one of the many Thomson Reuters products, such as Westlaw, CLEAR, Firm Central, and more.

3: What is the registration key?

Each person will create an individual user account by entering the customer's account number, an online registration key (available from your local dealer), and basic billing and shipping address information. The account administrator will be the first account created.

By SQLines

SQLData is a scalable, high performance data transfer, schema conversion and validation tool for Oracle to Microsoft SQL Server and SQL Azure migration.The tool allows you to move and validate the migration of large volumes of data and database schema within the shortest possible time frame.

SQLData benefits:Transferring tables in multiple concurrent sessions,performing concurrent read and write operations in each session,using Oracle OCI with array processing to extract data from Oracle, and using SQL Server Native Client Bulk Copy API to insert data to SQL Server.It is designed for DBAs and Enterprise-Class Migrations

SQL Server Migration Assistant (SSMA) for Oracle is a comprehensive environment that helps you quickly migrate Oracle databases to SQL Server, Azure SQL Database, or Azure Synapse Analytics. By using SSMA for Oracle, you can review database objects and data, assess databases for migration, migrate database objects to SQL Server, Azure SQL Database, or Azure Synapse Analytics, and then migrate data to SQL Server, Azure SQL Database, or Azure Synapse Analytics. Note that you cannot migrate SYS and SYSTEM Oracle schemas.

Introduction

Oracle Data Integrator (ODI) seamlessly integrates data in Microsoft SQL Server. Oracle Data Integrator features are designed to work best with Microsoft SQL Server, including reverse-engineering, changed data capture, data integrity check, and mappings.

Concepts

The Microsoft SQL Server concepts map the Oracle Data Integrator concepts as follows: A Microsoft SQL Server server corresponds to a data server in Oracle Data Integrator. Within this server, a database/owner pair maps to an Oracle Data Integrator physical schema. A set of related objects within one database corresponds to a data model, and each table, view or synonym will appear as an ODI datastore, with its attributes, columns and constraints.

Oracle Data Integrator uses Java Database Connectivity (JDBC) to connect to Microsoft SQL Server.

In the relational database management system (RDBMS) software space, two giants stand out from the rest, offering more features and user benefits: Oracle Database and Microsoft SQL Server.

However, it can be difficult to choose between the two leading RDBMS products. See below to learn how the two systems compare and guide your selection process:

A database management system (DBMS) is software that helps enterprises to organize and manage both structured and unstructured data across company databases.

Both Oracle Database and Microsoft SQL Server function as relational database management systems (RDBMS), or systems that help you to manage the relationships across data via tables.

Oracle describes a database management system as software that interfaces between databases and end users or programs, making it possible to work with data through performance monitoring, tuning, backup and recovery, management, and overall optimization.

Microsoft and Oracle are pretty neck and neck when it comes to most of their features but that hasn’t always been the case. Oracle has traditionally offered stronger querying features, but with the introduction of SQL Server 2019 and its Big Data Clusters, Microsoft is matching the pace of Oracle’s tools like Real Application Clusters (RAC).

There are still some areas where Microsoft falls behind, such as transaction control features. Transaction controls make it possible for a user to separate the different operations that happen in a transaction. If something goes wrong in the transaction, the user can identify where it happened, and they don’t have to roll back the entire transaction.

Transaction controls have been a feature of Oracle Database over the last several versions, separating each operation into individual transactions to increase visibility and avoid errors. In Microsoft SQL Server, each operation happens sequentially within a given transaction, so it’s challenging to check for and eliminate pinpointed errors within a transaction of data.

Again, the latest version of SQL Server matches many of the strengths that Oracle has shown off for years, but with features like transaction controls and a larger portfolio of in-house data tools, Oracle Database takes the feature category.

The first part of this series discussed the differences between Oracle Database and Microsoft SQL Server in their implementation of transactions, with a focus on pitfalls one may encounter during Oracle to SQL Server migrations and vice-versa. This next installment will cover a number of commonly used SQL syntax elements that have no match or have a completely different meaning or usage across the Oracle–SQL Server divide.

Chapter 15 SQL Structured Query Language

Adrienne Watt & Nelson Eng

Structured Query Language (SQL) is a database language designed for managing data held in a relational database management system. SQL was initially developed by IBM in the early 1970s (Date 1986). The initial version, called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM’s quasi-relational database management system, System R. Then in the late 1970s, Relational Software Inc., which is now Oracle Corporation, introduced the first commercially available implementation of SQL, Oracle V2 for VAX computers.

Many of the currently available relational DBMSs, such as Oracle Database, Microsoft SQL Server (shown in Figure 15.1), MySQL, IBM DB2, IBM Informix and Microsoft Access, use SQL.v

An SQL database data source represents a relational database or another source of data that can be accessed using an SQL database DSA.

A wide variety of commercial relational databases are supported, such as Oracle, Sybase, and Microsoft SQL Server. In addition, freely available databases like MySQL, and PostgreSQL are also supported. The Netcool/OMNIbus ObjectServer is also supported as a SQL data source.

The configuration properties for the data source specify connection information for the underlying source of data. Some examples of SQL database data sources are:

A DB2® database
A MySQL database
An application that provides a generic ODBC interface
A character-delimited text file

You create SQL database data sources using the GUI. You must create one such data source for each database that you want to access. When you create an SQL database data source, you need to specify such properties as the host name and port where the database server is running, and the name of the database. For the flat file DSA and other SQL database DSAs that do not connect to a database server, you must specify additional configuration properties.

Note that SQL database data sources are associated with databases rather than database servers. For example, an Oracle database server can host one or a dozen individual databases. Each SQL database data source can be associated with one and only one database.

Install a license key using a registration key file?

Click Install Key after navigating to Tools & Settings > License Management > Plesk License Key.

Choose Upload a licence key file.

Click OK after providing the path to the key file you downloaded from the email.

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SQLData Standard for Oracle to SQL Server

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Developer’s Description

Introduction

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Chapter 15 SQL Structured Query Language

About The Author

Abdul Qados

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Registration Key

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Developer’s Description

Introduction

Concepts

Chapter 15 SQL Structured Query Language

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About The Author

Abdul Qados

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