Close
Contact Us info@learnquest.com

??WelcomeName??
??WelcomeName??
« Important Announcement » Contact Us 877-206-0106 | USA Flag
Close
Close
Close
photo

Thank you for your interest in LearnQuest.

Your request is being processed and LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in Private Training.

We look forward to helping you develop the perfect training solution to help you meet your company's goals.

For immediate assistance, speak with one of our representatives using the chat module below. Otherwise, LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

Close
photo

Thank you for your interest in LearnQuest!

Now, you will be able to stay up-to-date on our latest course offerings, promotions, and training discounts. Watch your inbox for upcoming special offers.

title

Date: xxx

Location: xxx

Time: xxx

Price: xxx

Please take a moment to fill out this form. We will get back to you as soon as possible.

All fields marked with an asterisk (*) are mandatory.

Aster Data Basics

Price
2,295 USD
2.5 Days
ASTR-100
Classroom Training, Online Training
Teradata

AWS Training Pass

Take advantage of flexible training options with the AWS Training Pass and get Authorized AWS Training for a full year.

Learn More

Prices reflect a 22.5% discount for IBM employees (wherever applicable).
Prices reflect a 24% discount for Kyndryl employees (wherever applicable).
Prices reflect the Accenture employee discount.
Prices shown are the special AWS Partner Prices.
Prices reflect the Capgemini employee discount.
Prices reflect the UPS employee discount.
Prices reflect the ??democompanyname?? employee discount.
GSA Private/Onsite Price: ??gsa-private-price??
For GSA pricing, please go to GSA Advantage.
 

Class Schedule

Delivery Formats

Sort results

Filter Classes

Guaranteed to Run

Modality

Location

Language

Date

    Sorry, there are no public classes currently scheduled in your country.

    Please complete this form, and a Training Advisor will be in touch with you shortly to address your training needs.

View Global Schedule

Course Description

Overview

This Aster Data Basics course will cover the challenges of big data and the solutions that the Aster Data platform provides. The course will also discuss in detail how Aster Data tables are created, loaded and queried so users can become better prepared for large table joins and advanced analytics. This course will also discuss options to tuning queries with logical partitioning and columnar capabilities. This course will be 50% hand-on training and 50% lively discussion.
 

Objectives

Upon completion of the Aster Data Basics course, students will be able to:
  • Be familiar with Aster Data terms and understand the challenges that big data brings
  • Be able to discuss the different options to creating Aster Data tables and the impact of their design on specific environments
  • Understand how to design a fundamental Aster Data solution
  • Have hands-on experience with querying Aster Data.
  • Be able to discuss what to do and what not to do in order to query and design an Aster Data solution effectively
  • Learn about Map Reduce and its functionality and strengths
  • Gain enormous experience and knowledge in running a wide variety of Aster Data analytics
  • Have the confidence necessary to be a solid performer on Aster Data

Audience

  • Anyone involved in an Aster Data project or for any person who is or will soon be working with big data
  • Managers, DBAs, developers and any IT or business professionals who are involved in managing, designing or querying an Aster Data system

Prerequisites

    • None - any and all who are interested and enthused are welcome

Topics

  • What is Big Data?
    • Big Data is here
    • The Financials from Big Data
    • There are four Axes to Big Data
    • The Sources of Big Data
    • Big Data outside the Data Warehouse
    • Introduction to MapReduce
    • MapReduce Details
    • New Data + New Analytics = New Capabilities
    • What is a Data Scientist?
    • A Day in the Life of a Data Scientist
  • Aster Table Architecture
    • Fact Tables
    • Dimension Tables
    • Tables that Hash
    • Tables the Duplicate
    • The three types of tables
    • Regular or Persistent Tables
    • Temporary Tables
    • Analytic Tables
    • Rules for Distribution Keys
    • Partitioning a Table
    • Logical Partitioning
    • Automatic Logical Partitioning
    • Partition by Range
    • Partition by List
    • Columnar Tables
    • When to use Columnar Tables
  • Modeling Data in Aster
    • Eight Fundamental Rules for Modeling Big Data in Aster Database
    • Introduction to Data Modeling in Aster Database
    • Dimensionalize Your Schema
    • Use Columnar Tables When Appropriate
    • Distribute Your Data with Joins in Mind
    • Replicate Common, Frequently Joined Data
    • Split Data into Child Partitions
    • Verticalize Your Schema
    • Index Your Tables
    • Consider Using a Denormalized Data Model
    • Data Modeling FAQ
    • Three Principles for Aster Big Data
    • Move as Little Data as Possible
    • Don’t Read Irrelevant Data
    • Don’t Do Redundant Processing
    • Distribute Your Data with Joins in Mind
    • Join your Tables on the same Hash
    • Join your smaller Tables with Replication
    • Use Denormalization When Appropriate
  • Top Tips for Analysts
    • Joins are better than Subqueries
    • Move the subselect from the WHERE to the FROM Clause
    • Use Inner Joins to Shrink the size of data on which Outer Joins operate
    • Avoid Per-Row Function and Group Rows First
    • Avoid Joins, Group BYs, and WHERE clause on non-native data types
    • EXPLAIN is your friend
    • Understand How Joins Work
    • Join Tables on Distribution Key if Possible
    • Use Group BY and Count Distinct on the Distribution Key
    • The Three Types of Queries in which Redistribution May Happen
    • on a Fact Table with Group BY or Distinct
    • Multiple Queries together with UNION or INTERSECT
    • The Three Types of Table Scans
    • Scans
    • Scans
    • Index Scan
    • The Three ways a Join Happens between Two Tables
    • Loop
    • Joins
    • Joins
  • What is MapReduce?
    • What is SQL-MapReduce?
    • What Does SQL-MapReduce Do?
    • SQL-MR Example – Correlation
    • SQL-MR Syntax Section
    • SQL-MR Syntax
    • SQL-MR Syntax – From Function
    • SQL-MR Syntax – On Clause
    • SQL-MR Syntax – Partition by Clause
    • SQL-MR Syntax – Order by Clause
    • SQL-MR Syntax – Argument Clause
    • SQL-MR Syntax – Sessionize Example
    • Basic Primitive – SQL-MR Function
  • Aster Analytics
    • Pre-Packaged SQL-MapReduce Analytic Functions
    • Categories of Analytic Functions
    • Cluster Analysis Section
    • Canopy Clustering
    • Canopy Example
    • Kmeans Clustering
    • Kmeans Training Example
    • Kmeansplot Predict Example
    • Minhash Clustering
    • Minhash Example
    • Associative Analysis Section
    • Market Basket Generator
    • Market Basket Syntax
    • Market Basket Example
    • Collaborative Filtering
    • Cfilter Example
    • Statistical Analysis Section
    • Linear Regression
    • Linear Regression – Training
    • Linear Regression – Prediction
    • Generalized Linear Model
    • GLM Score
    • In-Line Lab
    • Logistic Regression
    • Logistic Regression – Training
    • Logistic Regression – Prediction
    • Logistic Regression Example
    • Correlation
    • Knearest Neighbor (knn)
    • Knearest Neighbor Example
    • Histogram
    • Histogram Example: Continuous, Non-Overlap, Equal
    • Histogram Example: Discrete, Overlap, Unequal
    • Predictive Analysis Section
    • Naïve Bayes
    • Naïve Bayes Concept
    • Naïve Bayes Syntax
    • Naïve Bayes Example
    • Support Vector Machines (SVM)
    • SVM Example
    • Decision Tree
    • Decision Tree Syntax
    • Decision Tree Example 1 (Regression)
    • Decision Tree Example 2 (Classification)
    • Decision Tree Example 3 (Binary)
    • Creating Graphs from Cfilter and nPath
    • GraphGen Concept and Syntax
    • GraphGen Charts – Sankey
    • GraphGen Charts – Chord
    • GraphGen Charts – Tree
    • GraphGen Charts – Sigma
  • Aster Analytics and the Foundation
    • Categories of Analytic Functions
    • Times Series and Attribution Analysis Section
    • Sessionization
    • Sessionization Example
    • Attribution – The Big Picture
    • Attribution Syntax
    • Attribution Arguments
    • Window Size – Rows
    • Window Size – Seconds
    • Window Size – Rows&Seconds
    • MODEL1/MODEL2 and Distribution Models
    • MODEL1/MODEL2 Types
    • Model1/Model2 Can Use Event or K
    • Using Event with Weight, Model and Parameters
    • What Happens If We Don’t Have 8 Rows?
    • Using K with Segment_rows
    • Using K with Segment_seconds
    • Advanced Attribution – Using Multiple Models
    • Multiple Models Example
    • Advanced Attribution – Multiple Input
    • Multiple Input Examples
    • Graph Analysis Section
    • Single Source Shortest Path (SSSP)
    • SSSP Example
    • The nTree
    • An nTree Example
    • Another nTree Example
    • Social Media Functions
    • Pagerank
    • Text Analysis Section
    • Text Parser
    • Text Parser Example
    • An nGram
    • An nGram Example
    • Levenshtein Distance
    • Named Entity Recognition (NER)
    • Named Entity Recognition Example
    • Extract Sentiment
    • Extract Sentiment Example 1
    • Extract Sentiment Example 2
    • Naïve Bayes Text Classifier
    • Naïve Bayes Text Training Set
    • Export Naïve Bayes Model and Install
    • Naïve Bayes Text Predict
    • Naïve Bayes Text Answer Set
    • Text Classifier Overview
    • TextClassifierTrainer
    • TextClassifier
    • Data Transformation Section
    • Data Transformation – Antiselect
    • Data Transformation – Unpack
    • Data Transformation – Pack
    • Data Transformation – Multicase (Input & Output)
    • Data Transformation – Pivot
    • Data Transformation – Apache Log Parsing
    • Data Transformation – XML Parsing
    2023 Top 20 Training Industry Company - IT Training

    Need Help?

    Call us at 877-206-0106 or e-mail us at info@learnquest.com

    Personalized Solutions

    Need a personalized solution for your Training? Contact us, and one of our training advisors will help you find the best solution.

    Contact Us

    Need Help?

    Do you have a question about the courses, instruction, or materials covered? Do you need help finding which course is best for you? We are here to help!

    Talk to us

    20% Off All Project Management Training Courses

    Maximize project efficiency and profitability across the board.

    PROMO CODE: PROJECT20
    VALID THROUGH JUNE 30, 2024

    20% Off All AI Training Courses

    IBM TechXchange Conference 2024

    October 21-24 | Mandalay Bay, Las Vegas

    Save $127 with Code: TECHXCHANGE10

    Offer Expires June 30, 2024

    Self-Paced Training Info

    Learn at your own pace with anytime, anywhere training

    • Same in-demand topics as instructor-led public and private classes.
    • Standalone learning or supplemental reinforcement.
    • e-Learning content varies by course and technology.
    • View the Self-Paced version of this outline and what is included in the SPVC course.
    • Learn more about e-Learning

    Course Added To Shopping Cart

    bla

    bla

    bla

    bla

    bla

    bla

    Self-Paced Training Terms & Conditions

    ??spvc-wbt-warning??
    ??group-training-form-area??
    ??how-can-we-help-you-area??
    ??personalized-form-area??
    ??request-quote-area??

    Sorry, there are no classes that meet your criteria.

    Please contact us to schedule a class.
    Close

    self-paced
    STOP! Before You Leave

    Save 0% on this course!

    Take advantage of our online-only offer & save 0% on any course !

    Promo Code skip0 will be applied to your registration

    Close
    Nothing yet
    here's the message from the cart

    To view the cart, you can click "View Cart" on the right side of the heading on each page
    Add to cart clicker.

    Purchase Information

    ??elearning-coursenumber?? ??coursename??
    View Cart

    Need more Information?

    Speak with our training specialists to continue your learning journey.

     

    Delivery Formats

    Close

    By submitting this form, I agree to LearnQuest's Terms and Conditions

    heres the new schedule
    This website uses third-party profiling cookies to provide services in line with the preferences you reveal while browsing the Website. By continuing to browse this Website, you consent to the use of these cookies. If you wish to object such processing, please read the instructions described in our Privacy Policy.
    Your use of this LearnQuest site affirms your consent to our use of session and persistent cookies to track how you use our website.