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Teradata Designer (1.5 days)

Price
1,530 USD
1.5 Days
CFLQ-145
Classroom Training, Online Training
Teradata

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Course Description

Overview

This Teradata Designer course is designed to provide a highly interactive environment for Teradata users of all skill levels to learn how to design databases.

This course can be taught using Version 12, 13, or 14. Please inform your sales representative of which version you are currently using.
 

Objectives

Upon completion of the Teradata Designer course, students will be able to:
  • Explain the rules of data warehousing
  • Describe the application development life cycle
  • Model data
  • Define denormalization
  • Design Teradata databases

Audience

  • Teradata Users
  • IT Professionals

Prerequisites

    • None

Topics

  • The Rules of Data Warehousing
    • Teradata facts
    • Teradata: brilliant by design
    • The Teradata parallel architecture
    • A logical view of the Teradata architecture
    • The Parsing Engine (PE)
    • The Access Module Processors (AMPs)
    • The BYNET
    • A visual for data layout
    • Teradata is a shared nothing architecture
    • Teradata has linear scalability
    • How Teradata handles data access
    • Teradata cabinets, nodes, Vprocs and disks
  • Data Distribution Explained
    • Rows and columns
    • The primary index
    • The two types of primary indexes
    • Unique Primary Index (UPI)
    • Non-Unique Primary Index
    • Turning the Primary Index Value into the row hash
    • The row hash value determines the rows destination
    • The row is delivered to the proper AMP
    • The AMP will add a uniqueness value
    • Teradata accesses data in three ways
    • Data layout summary
  • V2R5 Partition Primary Indexes
    • V2R4 example
    • V2R5 partitioning
    • Partitioning doesn’t have to be part of the primary Index
    • Partition elimination can avoid full table scans
    • The bad news about partitioning on a column that is not part of the primary index
    • Two ways to handle partitioning on a column that is not part of the primary index
    • Partitioning with CASE_N
    • Partitioning with RANGE_N
    • NO CASE, NO RANGE, or UNKNOWN
    • Partitioning and joins
  • Teradata Space
    • How permanent space is calculated
    • How permanent space is given
    • The Teradata hierarchy
    • How spool space is calculated
    • A spool space example
    • PERM, SPOOL and TEMP space
    • Spool space controls system time
    • Spool reserve
  • Modeling the Data
    • The application development life cycle
    • Asking the right questions
    • Logical data model
    • Primary keys
    • Foreign keys
    • Normalization
    • A normalized data warehouse
    • Dimensional modeling
    • Data marts
    • Update applications
  • Extended Logical Data Model
    • The end goal of the ELDM is to build table templates
    • Column ACCESS in the WHERE clause
    • Data demographics
    • Distinct values
    • Typical rows per value
    • Maximum rows NULL
    • Change rating
    • Extended logical data model template
  • Denormalization
    • Derived data
    • Horizontal partitioning
    • Vertical partitioning
    • Multi-table join indexes
    • Temporary tables
    • Derived tables
    • Volatile temporary tables
    • Global temporary tables
    • Views
  • Secondary Indexes
    • Unique Secondary Index (USI)
    • USI subtable example
    • How Teradata retrieves an USI query
    • NUSI subtable example
    • How Teradata retrieves a NUSI query
    • Value-ordered NUSI
    • How Teradata retrieves a value-ordered NUSI query
    • NUSI bitmapping
    • Prototyping indexes with EXPLAIN
    • Chart for primary and secondary access
    • Secondary index summary
  • Join Strategies
    • A join in simple terms
    • The key things to know about Teradata and joins
    • Merge join strategies
    • Joins need the joined rows to be on the same AMP
    • Another great join picture
    • Joining tables with matching rows on different AMPs
    • Redistributing a table for join purposes
    • Big Table small table join strategy
    • Big Table small table duplication
    • Nested join
    • Hash join
    • Exclusion join
    • Product joins
    • Cartesian product join
  • Join Indexes
    • Three basic types of join indexes
    • Join index fundamentals
    • Join indexes versus other objects
    • Multi-table join index
    • Single-table join indexes
    • Aggregate join index
    • Sparse index
    • Sparse index picture
    • Global join index
    • Global join index picture
    • Global join index – multi-table join back
    • Hash indexes
    • Hash indexes vs. single-table join indexes
  • Locks
    • Teradata has four locks for three levels of locking
    • Locks and their compatibility
    • How Teradata locks objects
    • Teradata locks – first come first serve
    • Locking queue example 2
    • Locking queue example 3
    • Locking modifier
    • The NOWAIT option
  • Tools
    • Database Query Log (DBQL)
    • DBQL collection options
    • DBQL tables and views
    • How to begin logging for DBQM
    • Teradata Dynamic Query Manager (TDQM)
    • TDQM works with Queryman (SQL assistant)
    • TDQM workloads and rules
    • Performance Monitor - PM
    • Access logging
    • Statistics wizard
    • Index wizard
    • TSET
  • Loading the Data
    • Fastload
    • Fastload picture
    • Multiload
    • Multiload picture
    • Tpump
    • Tpump picture
    • Fastexport
    • Fastexport picture
    • Warehouse builder
    • Insert/select
    • Utilities summary
  • Various Topics
    • Identity columns
    • Identity columns example
    • Referential integrity
    • Soft referential integrity
    • Roles
    • Profiles
    • Compression
    • Implementing compression
    • How compression works
    • Sync scan
    • Call Level Interface - CLI
    • LAN connection to Teradata for network attached clients
    • Mainframe connection to Teradata
  • Priority Scheduler
    • Priority scheduler partition hierarchy
    • Priority scheduler hierarchy definitions
    • Resource partition example
    • Multiple resource partitions example
    • Scheduling policies
    • Performance periods
  • Data Protection
    • Transaction concept and transient journal
    • How the transient journal works
    • FALLBACK protection
    • How fallback works
    • Fallback clusters
    • Down AMP Recovery Journal (DARJ)
    • Redundant Array of Independent Disks (RAID)
    • Cliques
    • Cliques – A two node example
    • Cliques – A four node example
    • Permanent journal
    • Table create with fallback and permanent journaling
    • Archive and recovery
    • Disaster recovery
    • Teradata crash dumps
    • Teradata Basics

      CFLQ-100
      • Duration: 1 Day
      • Delivery Format: Classroom Training, Online Training
      • Price: 765.00 USD
    • Teradata SQL

      CFLQ-105
      • Duration: 3 Days
      • Delivery Format: Classroom Training, Online Training
      • Price: 2,295.00 USD
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