Lesson 1Date Parsing and Standardisation: Parsing OrderDate into Date/Time, Managing Various Date Formats and Time ZonesDiscover how to parse unprocessed date and time data into Qlik dual date formats. Address diverse input styles, time zones, and local variations while developing standard date fields that ensure uniform calendar operations across Namibian business data.
Applying Date#, Timestamp#, and Time# FunctionsTransforming Text Dates to Dual ValuesDealing with Multiple Input Date FormatsOverseeing Time Zones and UTC AdjustmentsDeveloping Standard OrderDate FieldsLesson 2Connecting to and Importing CSV Files: File Paths, Encoding, Separators, and File Wizard ChoicesLink to CSV files via data connections and the file wizard. Set up paths, character encodings, separators, and header settings, then modify LOAD commands to guarantee smooth, foreseeable imports suitable for Namibian data sources.
Establishing and Verifying File ConnectionsEmploying the Data Load File WizardSetting Separators and Quotation MarksManaging Headers and Initial Data RowsAddressing Encoding and Local Setting ChallengesLesson 3Documenting the Load Script: Writing Clear Comments to Describe Each Major Section as Stipulated in the Project BriefMaster the art of documenting Qlik load scripts with informative comments, headers, and section indicators, allowing future developers and reviewers in Namibian teams to swiftly comprehend the reasoning, data origins, and essential business guidelines in the ETL workflow.
Comment Formats: Single Line and Block StylesHeader Sections for Scripts and Key AreasClarifying Business Guidelines in CommentsLabelling Assumptions, TODOs, and Potential RisksLesson 4Grasping Qlik Sense and QlikView Load Script Layout and Execution SequenceComprehend the way Qlik processes script instructions, starting from connection establishment to final STORE or EXIT commands. Explore script divisions, execution sequence, basic error management, and how this progression influences data model outcomes and efficiency in Namibian applications.
Primary, Tabbed Sections, and Include FilesTop-to-Bottom Execution and InterdependenciesControl Commands: IF, FOR, DO WHILEError Management and Script RecordsEffects of Sequence on Joins and FieldsLesson 5Generating Derived Fields in Script: Year, Month, Quarter from OrderDate Using Qlik Date ToolsProduce derived calendar fields like Year, Month, and Quarter from OrderDate employing Qlik date tools. Facilitate adaptable time examinations by producing extra markers and identifiers for financial and standard calendar perspectives relevant to Namibian fiscal years.
Extracting Year, Month, and Day ComponentsConstructing Quarter and MonthName FieldsUtilising YearStart and MonthStart FunctionsFinancial Versus Standard Date CreationsProducing Date Identifiers for Link TablesLesson 6Text Cleaning in Script: TRIM, UPPER/LOWER, Replace, Null Management and Standardising ProductCategory/ProductSubCategoryPurify and uniform text fields in the script with TRIM, case adjustments, Replace functions, and null treatments. Confirm that ProductCategory and ProductSubCategory entries remain uniform for grouping and linking in Namibian product datasets.
Eliminating Spaces with TRIM and PURGECHARUPPER, LOWER, and PROPER Case ApplicationsSubstituting Faulty or Outdated Text EntriesManaging Null and Blank String SituationsUniforming Product Category DescriptionsLesson 7Testing and Refining Script Modifications: Reload Preview, Incremental Reload Essentials, and Verifying Row Numbers and Checksum VerificationsEstablish a secure method for altering scripts, encompassing partial reloads, basic incremental reloads, and confirmation procedures. Match row numbers and checksum figures to verify that modifications have not damaged data integrity in Namibian systems.
Employing Limited Load for Rapid EvaluationsFundamentals of Incremental Reload MethodsConfirming Row Numbers per TableChecksum and Hash-Based EvaluationsReverting and Versioning ScriptsLesson 8Field Examination and Profiling During Load: Techniques to Review Unique Values, Nulls, and Data TypesAcquire methods to profile fields amid loading, assessing unique values, null frequencies, and deduced data types. Employ temporary tables, RESIDENT loads, and system tools to affirm data quality at an early stage for Namibian data pipelines.
Counting Unique Values per FieldIdentifying Nulls and Blank StringsVerifying Deduced Data TypesSampling Data via Temporary TablesUtilising Script Records for ProfilingLesson 9Numeric Cleaning and Computations in Script: SalesAfterDiscount, ProfitMargin with Division-by-Zero Protections and RoundingExcel in numeric cleaning and computations within scripts, incorporating secure calculations, rounding, and safeguards against division by zero. Develop metrics such as SalesAfterDiscount and ProfitMargin that function dependably in Namibian business applications.
Purifying Numeric Fields and CoercionsAddressing Nulls and Non-Numeric EntriesDivision-by-Zero Safeguards in EquationsRounding and Formatting MetricsConstructing SalesAfterDiscount IndicatorLesson 10Employing Comments, Sectioning, and Best Approaches in the Script for Readability and UpkeepImplement superior practices for script readability and maintenance using comments, logical divisions, naming guidelines, and modular includes, enabling Namibian teams to securely expand and resolve intricate ETL reasoning.
Arranging Tabs and Logical DivisionsUniform Field and Table NamingUsing Include Files for ModularityDistinguishing Staging and Model LayersRefining Repeated Script ReasoningLesson 11Basic Script Instructions: LOAD, SELECT, INLINE, RESIDENT, DROP, RENAME and Their Typical ApplicationsInvestigate fundamental Qlik script instructions for loading and altering data. Understand the appropriate use of LOAD, SELECT, INLINE, RESIDENT, DROP, and RENAME, and their integration to form efficient, maintainable ETL conduits for Namibian data.
LOAD Versus SELECT: Contexts and ReasonsApplying INLINE for Small Reference TablesRESIDENT Loads for AlterationsDROP and RENAME to Organise Data ModelPreceding LOAD Patterns and AdvantagesLesson 12Managing Absent, Negative, and Outlier Values in Script: Conditional Expressions, NULLVALUE, and Basic Imputation MethodsDeal with absent, negative, and outlier values using conditional expressions and NULLVALUE configurations. Apply straightforward imputation and limit strategies that maintain data wholeness while preventing deceptive metrics in Namibian analyses.
Setting NULLVALUE and NullInterpretIF and Alt for Conditional TreatmentsAddressing Negative Quantities and PricesBasic Mean and Median ImputationsLimiting Extreme Outliers in Metrics
