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PROKODA GmbH | 11.02.2019

Oracle Database: Introduction to SQL Ed 2


Kategorie:
Zeitraum:
PLZ/Ort:
Seminare, Workshops
14.05.2018 - 18.05.2018
DE-10115 Berlin

Seminarbeschreibung:

Introduction

    Working with Oracle Cloud Exadata Express Cloud Service

      Retrieving Data using the SQL SELECT Statement

        Restricting and Sorting Data

          Using Single-Row Functions to Customize Output

            Using Conversion Functions and Conditional Expressions

              Reporting Aggregated Data Using the Group Functions

                Displaying Data from Multiple Tables Using Joins

                  Using Subqueries to Solve Queries

                    Using the SET Operators

                      Managing Tables using DML statements

                        Introduction to Data Definition Language

                          Introduction to Data Dictionary Views

                            Creating Sequences, Synonyms, Indexes

                              Creating Views

                                Managing Schema Objects

                                  Retrieving Data by Using Subqueries

                                    Manipulating Data by Using Subqueries

                                      Controlling User Access

                                        Manipulating Data

                                          Managing Data in Different Time Zones

                                            Introduction to Oracle Database

                                              Retrieve Data using the SQL SELECT Statement

                                                Learn to Restrict and Sort Data

                                                  Usage of Single-Row Functions to Customize Output

                                                    Invoke Conversion Functions and Conditional Expressions

                                                      Aggregate Data Using the Group Functions

                                                        Display Data From Multiple Tables Using Joins

                                                          Use Sub-queries to Solve Queries

                                                            The SET Operators

                                                              Data Manipulation Statements

                                                                Use of DDL Statements to Create and Manage Tables

                                                                  Other Schema Objects

                                                                    Control User Access

                                                                      Management of Schema Objects

                                                                        Manage Objects with Data Dictionary Views

                                                                          Manipulate Large Data Sets

                                                                            Data Management in different Time Zones

                                                                              Retrieve Data Using Sub-queries

                                                                                Regular Expression Support


                                                                                  Voraussetzung: Erforderliche Vorkenntnisse:Data processingFamiliarity with data processing concepts and techniques

                                                                                  Preis: 3385,- € (zzgl. MwSt.) pro Teilnehmer.

                                                                                  Uhrzeit: Von 09:00 bis 16:00

                                                                                  Teilnehmergruppe: 3 bis 8

                                                                                  Dauer in Std: 40

                                                                                  Frühbucher: Preis: 3317.3 € bis zum 13.04.2018 reservieren.


                                                                                  Zur Veranstaltungsseite: https://www.prokoda.de/

                                                                                  Unternehmenseintrag: PROKODA GmbH

                                                                                  Eingestellt am: 11.02.2019 von: .

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