SqlCredit Part 6: Exploring EncryptByCert and DecryptByCert

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MicroStrategy maps binary data types from databases to either the Binary or Varbin MicroStrategy data types. For example, some databases are listed below with their various binary data types and their MicroStrategy mapping:. To determine how and when to use binary data types in MicroStrategy, the following MicroStrategy features are supported for binary data types:.

MicroStrategy documentation comments or suggestions Product enhancement suggestions. Business data and measurements Attributes: Context for your levels of data Attribute elements: Data level values Attribute relationships Hierarchies: Data relationship organization Sample data model Building a logical data model User requirements Existing source systems Converting source data to analytical data Logical data modeling conventions Unique identifiers Cardinalities and ratios Attribute forms Warehouse Structure for Your Logical Data Model Columns: Data identifiers and values Tables: Physical groupings exploring the varbinary types related data Uniquely identifying data in tables with key structures Lookup tables: Attribute storage Relate tables: A unique case for relating attributes Fact tables: Fact data and levels of aggregation Homogeneous versus heterogeneous column naming Schema types: Data retrieval performance versus redundant storage Highly normalized schema: Minimal storage space Moderately normalized schema: Balanced storage space and query performance Highly denormalized schema: Layers Creating and modifying facts Creating facts Creating and modifying multiple facts Creating and modifying attributes Creating attributes Creating and modifying multiple attributes Defining attribute relationships Automatically defining attribute relationships Creating and modifying user hierarchies Creating user hierarchies The Building Blocks of Business Data: Facts Creating exploring the varbinary types Simultaneously creating multiple, simple facts Creating and modifying simple and advanced facts The structure of facts How facts are defined Mapping physical columns to facts: Fact expressions Fact column names and data types: Column aliases Exploring the varbinary types the levels at which facts are reported: Level extensions Defining a join on fact tables using table relations Defining a join on fact tables using fact relations Forcing facts to relate to attributes: Using cross product joins Lowering the level of fact data: Attributes Overview of exploring the varbinary types Creating attributes Simultaneously creating multiple attributes Adding and modifying attributes Unique sets of attribute information: Attribute elements Supporting data internationalization for attribute elements Column data descriptions and identifiers: Attribute forms Displaying forms: Attribute form properties Attribute form expressions Modifying attribute data types: Column aliases Attribute forms versus separate attributes Attribute relationships Viewing and editing the parents and children of attributes Supporting exploring the varbinary types and joint child relationships Split hierarchy with many-to-many relationships Attributes that use the same lookup table: Attribute roles Specifying attribute roles Attributes with multiple ID columns: Creating compound attributes Using attributes to browse and report on data Defining how attribute forms are displayed by default Optimizing and Maintaining Your Project Updating your MicroStrategy project schema Data warehouse and project interaction: Warehouse Catalog Before you begin using the Warehouse Catalog Accessing the Warehouse Catalog Adding and removing tables exploring the varbinary types a project Managing warehouse and project tables Modifying data warehouse connection and operation defaults Customizing catalog Exploring the varbinary types statements Troubleshooting table and column messages Accessing multiple data sources in a project Connecting data sources to a project Adding data into a project Improving database insert performance: Aggregate tables When to use aggregate tables Determining the frequency of queries at a specific level Considering any related parent-child relationships Compression ratio Creating aggregate tables The size of tables in a project: Logical table size Dividing tables to increase exploring the varbinary types Partition mapping Server versus application partitioning Metadata partition mapping Warehouse partition mapping Metadata versus warehouse partition mapping Creating Hierarchies to Organize and Browse Attributes Creating user hierarchies Creating user hierarchies using Architect Types of hierarchies System hierarchy: Project schema definition User hierarchies: Logical business relationships Hierarchy organization Hierarchy structure Viewing hierarchies: Exploring the varbinary types attribute lookup table Business case 2: Attribute form expression across multiple tables Exploring the varbinary types case 3: Slowly changing dimensions Business case 4: One-to-many transformation tables Business case 5: Mapped to Binary Data Type.

Mapped to Varbin Data Type. MicroStrategy supports the following features for attributes that have an ID form mapped to a binary data type:. Exporting, which exports the binary data as a string of characters.

MicroStrategy supports the following features for any attributes that have non-ID attribute forms that are mapped to a binary data type:. Inclusion in data marts SQL Server only. Attribute form qualifications, excluding qualifications that use operators to compare characters such as Like or Contains.

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The storage size is n bytes. The data that is entered can be 0 bytes in length. When n is not specified in a data definition or variable declaration statement, the default length is 1. When n is not specified with the CAST function, the default length is When data is converted from a string data type char , varchar , nchar , nvarchar , binary , varbinary , text , ntext , or image to a binary or varbinary data type of unequal length, SQL Server pads or truncates the data on the right.

When other data types are converted to binary or varbinary , the data is padded or truncated on the left. Padding is achieved by using hexadecimal zeros. Converting data to the binary and varbinary data types is useful if binary data is the easiest way to move around data. Converting any value of any type to a binary value of large enough size and then back to the type, always results in the same value if both conversions are taking place on the same version of SQL Server.

The binary representation of a value might change from version to version of SQL Server. You can convert int , smallint , and tinyint to binary or varbinary , but if you convert the binary value back to an integer value, this value will be different from the original integer value if truncation has occurred. For example, the following SELECT statement shows that the integer value is usually stored as a binary 0xe However, the following SELECT statement shows that if the binary target is too small to hold the entire value, the leading digits are silently truncated so that the same number is stored as 0xe The following batch shows that this silent truncation can affect arithmetic operations without raising an error:.

Conversions between any data type and the binary data types are not guaranteed to be the same between versions of SQL Server. The feedback system for this content will be changing soon.

Old comments will not be carried over. If content within a comment thread is important to you, please save a copy. For more information on the upcoming change, we invite you to read our blog post. Arguments binary [ n ] Fixed-length binary data with a length of n bytes, where n is a value from 1 through 8, Remarks When n is not specified in a data definition or variable declaration statement, the default length is 1. Data type Use when Converting binary and varbinary data When data is converted from a string data type char , varchar , nchar , nvarchar , binary , varbinary , text , ntext , or image to a binary or varbinary data type of unequal length, SQL Server pads or truncates the data on the right.

Note Conversions between any data type and the binary data types are not guaranteed to be the same between versions of SQL Server. Note The feedback system for this content will be changing soon.