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  1. Minst ett filter val eller nyckelord måste vara valt för att genomföra en sökning.
  2. Använd dubbla citattecken för att specificera en exakt fras eller när du måste använda speciella söktecken som + eller -.
    Exempel: "C++", "end-to-end" eller "Java applet".
  3. Använd ett mellanrum mellan nyckelord om kursnamnet måste innehålla båda orden eller fraserna.
    Exempel: Java Websphere sökningar av kurser som innehåller båda ordern Java och Websphere.
  4. Använd ett rörtecken (|) om kursnamnet måste inehålla minst ett av orden eller fraserna.
    Exempel: Java | Websphere sökningar av kurser som innehåller antingen Java eller Websphere.
  5. Använd ett minustecken (-) för att utesluta ett ord eller en fras.
    Exempel: Java - Websphere sökningar av kurser som innehåller ordet Java men inte ordet Websphere.
  6. Använd en asterisk (*) som en joker för att bredda din sökning.
    Exempel: Program* sökningar av kurser som innehåller ord som börjar med Program som: Program, Programmer, Programming, Programmable, etc.
  7. Kombinera dessa söktips för avancerae sökningar.
    Exempel: ""Java Applet"" +Program* -Websphere sökningar för kurser som innehåller den exakta frasen Java Applet och en variation av ordet Program (i.e. Program, Programmer, Programming, Programmable, etc.) men inte ordet Websphere.

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0.0 hours - 80.0 hours

Kunskapsnivå





IBM Datacap 9.0.1: FastDoc Server Mode ( Kurskod F253G )

Intermediate 8 s Multiple

This course shows you how to work with Datacap FastDoc in Server mode. Topics: create an application from Form Template; configure batch structure, rulesets, fingerprints, and export.

Make VMware work for you on IBM Cloud, Part 2: Deploy and migrate on-premises VMware workloads to IBM Cloud with these ...

Advanced 1

IBM Cloud for VMware (IC4V) provides a private cloud infrastructure that can be quickly scaled up or down, and allows existing VMware clients to extend or move their workloads into the IBM Cloud. As a follow-up to Part 1, this tutorial explores various use cases for deploying client workloads on IBM Cloud, and shows how to migrate workloads from on premises to IBM Cloud and vice versa. The tutorial provides detailed descriptions of use cases covering software-defined networking and software-defined data center implementations, and explores implementation design for migrating client workloads to IBM Cloud.

Build cognitive solutions for industries, Part 3: Design patterns for making cognitive data searchable and ...

Advanced 0.7

Cognitive computing is becoming increasingly important within the enterprise. In this tutorial, the third in a series, look at the design patterns for making cognitive data searchable and understandable.

IBM Content Manager OnDemand for MP V9.X Implementation and Administration ( Kurskod U5NEN01G )

Intermediate 40 s Multiple

This course is for individuals whose job includes responsibility for administering and maintaining an IBM Content Manager OnDemand MP V9.X system. The course includes hands on exercises.

IBM Content Manager OnDemand V9.X Administration ( Kurskod U5NEN02G )

Intermediate 32 s Instructor-led

This intermediate course is designed for CMOD Report Administrators, that is, people who will be indexing and loading documents into a CMOD system. These people are responsible for creating the...

IBM Content Manager OnDemand V9.5 Advanced System Administration ( Kurskod U5NEN03G )

Advanced 28 s Instructor-led

This advanced course is for those whose job includes responsibility for administering an IBM Content Manager OnDemand system and who have a need for an in-depth knowledge of the OnDemand system...

Survey text mining with IBM SPSS Text Analytics for Surveys, Part 1: Exploring sample survey data

Advanced 1

This two-part series of articles steps through the process of text mining by using IBM® SPSS® Text Analytics for Surveys, version 4.0.1. Part 1 describes the objectives of survey text mining and presents sample data of a survey for analysis. In a tour of survey analytics, explore the capabilities of SPSS Text Analytics for Surveys in a step-by-step manner. Every step shows you a bit of information about your sample data. Learn how to use SPSS Text Analytics for Surveys to completely decipher survey data.

Big data architecture and patterns, Part 2: How to know if a big data solution is right for your organization

Advanced 1

This article describes a dimensions-based approach for assessing the viability of a big data solution. By answering questions that explore each dimension, apply what you know about your own environment to determine whether a big data solution is appropriate. A careful look at each dimension yields clues about whether it's time for your big data services to evolve.

Use change data capture technology in InfoSphere Data Replication with InfoSphere BigInsights

Advanced 0.8

Learn how to capture the changes made on source transactional databases such as IBM DB2 and Oracle, and replicate them to the Apache Hadoop Distributed File System in IBM InfoSphere® BigInsights. Use change data capture replication technology in InfoSphere Data Replication 10.2 for InfoSphere DataStage with InfoSphere BigInsights support.

VizJSON: The grammar of graphics in JSON

Advanced 1

This article outlines the benefits of an industry-wide notation to express the rules for representing visualizations. It highlights one particular notation called VizJSON, which is based on Leland Wilkinson's The Grammar of Graphics approach for visualization.

Extract meaningful statistical measures from data in JSON using R

Advanced 1

This article explains how to integrate JavaScript Object Notation (JSON) data, such as the data IBM InfoSphere BigInsights produces, with R, a language for statistical computing. It also explains basic R data types, commands, and its graphical display.

Big data architecture and patterns, Part 5: Apply a solution pattern to your big data problem and choose the products ...

Advanced 1

Using a scenario-based approach, this article outlines solution patterns that can help define your big data solution. Each scenario starts with a business problem and describes why a big data solution is required. A specific solution pattern (made up of atomic and composite patterns) is applied to the business scenario. This step-by-step approach helps identify the components required for the solution. At the end of the article, some typical products and tools are suggested.

Create MapReduce queries to process particular types of data

Advanced 1

MapReduce processing has created an entire set of new paradigms and structures for processing and building different types of queries. Getting the best out of Hadoop, however, means writing the appropriate MapReduce query to process the information. This article looks at a variety of different scenarios with cookbook-style examples of how to develop different types of queries.

IBM Security QRadar Incident Forensics Configuration and Usage - Japanese ( Kurskod BQ161JG )

Intermediate 16 s Self-paced with labs

This intermediate course shows you how to use QRadar Incident Forensics integrated with QRadar SIEM.

Enforcing cluster-wide policies for a Kubernetes-based Docker cluster

Advanced 0.8

This article explains how cluster-level policies can be enforced for Kubernetes by using PodSecurityPolicy.

Using Docker Swarm mode on OpenPOWER servers

Advanced 1

This article explains how to set up a Docker swarm cluster using the newly introduced Swarm mode feature of Docker Engine.

IBM Sterling Connect:Direct for z/OS v5.2.0 Fundamentals ( Kurskod 6C07G )

Intermediate 16 s Instructor-led

This Sterling Connect:Direct for z/OS Fundamentals course introduces you to Sterling Connect:Direct for z/OS

IBM Business Analytics Proven Practices: Display a "No Data Available" message on empty RAVE visualization pages

0.9

Learn how to embed a visualization object in a list in Cognos Report Studio.

Introduction to Informix Terminology and Data Types (v12.10) eLearning ( Kurskod 1X101G )

Basic 2.5 s Self-paced

This course introduces students to basic Informix terminology, system access, and data types.

IBM InfoSphere DataStage v11.5 Data Masking eLearning ( Kurskod 1M424G )

Intermediate 2 s Self-paced

Students will describe how the Data Masking Pack works; understand how to apply policies for different data types, understand how hash lookup policies work; create a data masking job.

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