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#Ibm spss statistics processor is unavailable for mac os x#
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#Ibm spss statistics processor is unavailable windows 8#

ĝesign a Job that Processes a Star Schema Database with Type 1 and Type 2 Slowly Changing Dimensions.

ĝesign a Job that Creates and Updates a Surrogate Key Source Key File from a Dimension Table.

Writing Hierarchical Data to a Relational Table.

Using the HJoin Step to Create Parent-Child Relationships between Input Lists.

Use the Schema Library Manager to Import and Manage XML Schemas.

Use the Data Rules Stage to Valid Foreign Key References in Source Data.

Ědding Statistics and Attributes to the Output Information.

Ěpplying Policies for Masquerading Generic Data Types.

Ěpplying Policies for Masquerading Context-Aware Data Types.

Using the Data Masking stage in DataStage jobs.

Specify Document Properties for Data Extraction.

Specify a Data Range for Data Extraction in an Unstructured Data Stage.

Using the Unstructured Data Stage in DataStage Jobs.

Using the File Connector Stage to Read and Write HDFS Files.

Parallel jobs with Multiple Connector Input Links.

ĝesign a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions.Ĝreate custom data rules for validating data.Use the Data Rules stage to validate fields of data within a DataStage job.Use the Schema Library Manager to import and manage XML schemas.Use the Hierarchical stage to parse, compose, and transform XML data.Use the Data Masking stage to mask sensitive data processed within a DataStage job.Use the Unstructured Data stage to extract data from Excel spreadsheets.Optimize jobs that write to database tables.Use the File Connector stage to access Hadoop HDFS data.Use Connector stages with multiple input links.Use Connector stages to read from and write to database tables.Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. In this course you, will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5.

#Ibm spss statistics processor is unavailable android#

Android AIR Runtime required: 3.2 or higher.

Android-supported OS versions: 2.2 and higher.

Android-supported devices: Samsung Galaxy Tab 2 (10.1), Samsung Galaxy Tab (10.1), ASUS Transformer, Samsung Galaxy Tab (7"), Motorola Xoom, Motorola Xoom 2 or Nexus 7.

Apple-supported OS versions: iOS 4.3.x, 5.x or 6.x (5.x or higher recommended).

Apple-supported devices: iPad, iPad2 or iPad3 iPhone 4, 4, or 5 iPod touch (3rd generation minimum recommended).

Users on Linux can attend meetings in the browser only.*

No Adobe Connect Add-in support for Linux.

Ubuntu 10.04, 11.04 Red Hat Enterprise Linux 6 or OpenSuSE 11.3.

Mozilla Firefox, Apple Safari or Google Chrome.

Users on Leopard can attend meetings in the browser only*

#Ibm spss statistics processor is unavailable for mac os x#

No Adobe Connect Add-in support for Mac OS X 10.5 (Leopard).

1.83 GHz Intel Core™ Duo or faster processor.

Microsoft Internet Explorer 7, 8, 9 or 10 Mozilla Firefox Google Chrome.

#Ibm spss statistics processor is unavailable windows 8#

512 MB of RAM (1 GB recommended) for Windows XP, Windows 7 or Windows 8.1.4 GHz Intel® Pentium® 4 or faster processor (or equivalent) for Microsoft® Windows® XP, Windows 7, or Windows 8.