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    Sap Hana 2.0 Modelling Masterclass |Hands On Training

    Posted By: ELK1nG
    Sap Hana 2.0 Modelling Masterclass |Hands On Training

    Sap Hana 2.0 Modelling Masterclass |Hands On Training
    Published 10/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.65 GB | Duration: 8h 43m

    Calc View | Join & Union | Hierarchy | SDI| Functions | Rank | Optimization | Security | Auth | Graph | Spatial | GitHub

    What you'll learn
    All HANA Modelling features
    All types of Calculation Views
    All types of Join and Union
    Analytical Privilege, Synonymous, Hierarchies
    Rank, Optimization, Best Practices, Github
    Advance Analytics with Graph and Spatial Data
    Requirements
    Basic understanding of any database is enough
    however if you want to install HANA edition, then you need PC with 12-16GB of RAM and 128GB of HDD
    Description
    If you want to understand the latest features of SAP HANA modeling then this course is for you. This course is completely hands-on.We will start from scratch and cover the below topics as hands-on lectures:Introductions- HANA Overview- XSA Overview- Installation of HANA express- Why modeling is needed- Create your first table and load dataViews - Create your first calculation view- Use Input parameter, variable and fuzzy search- Learn all types of calculation joins ( Dim, Cube, Star)Hierarchy-Learn and create the hierarchy- Level and PC hierrachy - Hierarchy FunctionJoins- learn all kinds of joins and Unions- Inner, outer, minus, intersect, referential, non-equiFunction- Scalar function- Table Function- ProcedureRank- Learn how to Rank- All new features of RankOptimization & Best Practices- Learn Optimization options - Learn Best practices- Union pruning: Explicit and Implicit- Parallelization- Handling of multiple filterManagement- Impact & Linage Analaysis- Copy, paste, delete and refactor- Use of NamepaceSecurity & Authoriation- Analytical Privileges- Masking- K-Anonymity- Differential PrivacySynonymous- Learn how to use SynonymousAdvance Analytics- Learn how Graph Analytics works- Learn Spatial data handlingSmart Data Integration (SDI)- Learn what is SDI- Install and Config your own DP agent- Activate adapter and load file- Create virtual table and use FlowgraphGithub- How GitHub works- Github @ local and @remoteAnd more details on various topics.

    Overview

    Section 1: Introduction

    Lecture 1 Course Introduction

    Lecture 2 SAP HANA Overview

    Lecture 3 How to Use This Course

    Lecture 4 Special Gift

    Lecture 5 XSA Overview

    Lecture 6 Install HANA Express Edition

    Lecture 7 Login detail

    Lecture 8 Web IDE Walkthrough and mounting of DB

    Lecture 9 Why data Model is needed?

    Lecture 10 First CDS Object

    Lecture 11 Code for the Project

    Lecture 12 Create Table I

    Lecture 13 Files used in Next section

    Lecture 14 Create Table and Load data

    Section 2: Views

    Lecture 15 Views in HANA

    Lecture 16 Create first calc view

    Lecture 17 Theory on Input Parameter and Variable

    Lecture 18 Use of Input Parameter in calc view

    Lecture 19 Use of Variables

    Lecture 20 Fuzzy Search

    Section 3: Hierarchy

    Lecture 21 What is Hierarchy

    Lecture 22 Level Hierarchy

    Section 4: Joins

    Lecture 23 Various Joins

    Lecture 24 Files for Next lecture

    Lecture 25 Joins & Cardinality

    Section 5: More Views

    Lecture 26 Files used in next lecture

    Lecture 27 Calculation View : Cube

    Lecture 28 Exercise : Business Partner

    Lecture 29 Files for exercise

    Lecture 30 Solution : Business Partner

    Lecture 31 File for next section

    Lecture 32 Star Join

    Lecture 33 Calculated Column, Restricted Column & Counter

    Lecture 34 Currency Files for next lesson

    Lecture 35 Currency Conversion

    Section 6: More Options in Join

    Lecture 36 File for Join tables

    Lecture 37 Joins in System

    Lecture 38 Referential Join

    Lecture 39 Non Equi Join

    Lecture 40 Minus Node

    Lecture 41 Intersect Node

    Section 7: Union

    Lecture 42 Union

    Lecture 43 Union Behaviour

    Lecture 44 Multijoin

    Section 8: Scalar, Table Function & Procedure

    Lecture 45 Theory

    Lecture 46 Scalar Function

    Lecture 47 Code used in next lesson

    Lecture 48 Table Function

    Lecture 49 Code for next lesson

    Lecture 50 Procedure

    Section 9: Rank

    Lecture 51 Rank Part I

    Lecture 52 Rank Part II

    Section 10: Optimization and Best practices for Modelling

    Lecture 53 Best Practices

    Lecture 54 Optimization : Performance Analysis

    Lecture 55 Optimization : Explain & Analyze Plan

    Lecture 56 Optimization : Debugging

    Section 11: Managament

    Lecture 57 Impact & Linage Analysis

    Lecture 58 Copy,Paste, Refactoring and more

    Lecture 59 Namespace

    Section 12: Security & Authorization

    Lecture 60 Security theory

    Lecture 61 Analytic Privilages

    Lecture 62 Masking

    Lecture 63 Files for next lesson

    Lecture 64 K-Anonymity

    Lecture 65 Diff Privacy

    Section 13: Connection to HDI

    Lecture 66 Code used in next session

    Lecture 67 Synonyms for HDI Container

    Lecture 68 Code for next lesson

    Lecture 69 Synonyms for Classic Schema

    Section 14: Advance Analytics

    Lecture 70 Code in next lesson

    Lecture 71 Graph Analytics I

    Lecture 72 Graph Analytics II

    Lecture 73 Graph Analytics III

    Lecture 74 Code in next lesson

    Lecture 75 Graph Analytics IV

    Lecture 76 Code in next lesson

    Lecture 77 Spatial Data

    Section 15: Hierarchy Advance

    Lecture 78 Code in next lesson

    Lecture 79 Hierarchy Parent-Child

    Lecture 80 Hierarchy Function I

    Lecture 81 Hierarchy Function II

    Section 16: SDI

    Lecture 82 SDI Overview

    Lecture 83 SDI Agent Install

    Lecture 84 SDI Agent Config

    Lecture 85 SDI Remote Connection

    Lecture 86 SDI Virtual Table

    Section 17: FlowGraph

    Lecture 87 Flowgraph

    Section 18: GitHub Connection

    Lecture 88 GitHub Overview

    Lecture 89 GitHub Local

    Lecture 90 GitHub Remote

    Section 19: More Performance improvement option

    Lecture 91 Multiple filter ignore

    Lecture 92 Files for next section

    Lecture 93 Union Pruning Implicit

    Lecture 94 Parallelization

    Lecture 95 Adhoc

    Anyone curious about SAP HANA Modelling,SAP Developers,Tech Architect,Solution Architect