Cybersecurity for Developers: From Basics to Best Practices

Video tutorial ini dibuat dengan QGIS 3.34 LTR, namun semua versi QGIS 3.xx dapat mengikuti kursus ini.1. Perkenalan Geopackage (.gpkg), GPKG adalah format milik QGIS. Meski format ini relatif baru namun popularitasnya menanjak dengan cepat karena banyak hal yang ditawarkan oleh format ini jauh mengungguli format Shapefile/SHP. GPKG tidak hanya menampung data vektor tapi juga data raster, spreadsheet, data tile tile bahkan mampu menyimpan QGIS Project Document (QGS/QGZ) sehingga GPKG benar-benar mampu membuat suatu lingkungan terisolir bagi sebuah project. GPKG dapat melakukan hal ini karena GPKG didukung oleh basisdata SQLite jadi GPKG bukan hanya sekedar format tapi juga basisdata/database2. Geopackage VS Shapefile.SHP secara de facto, selama 40 tahun telah menjadi format data vektor standar di industri GIS. Ketika SHP pertama sekali diluncurkan, format ini didukung oleh teknologi paling canggih pada saat itu misalnya dukungan basisdata DBF. Saat ini DBF tidak lagi digunakan karena sudah banyak kelemahan disana sini. Format penyimpanan data vektor kemudian di kembangkan lagi dengan masih menggunakan teknologi basisdata sebagai tulang punggung penyimpanan data namun dengan penyesuaian yang jauh lebih baik. Salah satu format penyimpanan data yang dikembangkan oleh QGIS adalah Geopackage/GPKG. GPKG didukung oleh basisdata SQLite yang canggih, ringan dan mudah digunakan. Kita akan head to head untuk membandingkan keunggulan dan kelemahan format SHP dan GPKG.3. Ekspor SHP ke GPKGGPKG mampu membuat feature baru namun pada kesempatan ini kita akan mengekspor data SHP yang sudah ada ke GPKG, selain menghemat waktu, kita juga dapat berlatih. Ada banyak format yang mampu dibaca oleh QGIS dan semuanya dapat di ekspor kedalam GPKG. selain SHP, format data yang populer lainnya adalah KML dan geoJSON.4. Mengolah data survey lapangan dalam bentuk XLS, mengedit dan membersihkan dataSebelum di olah di

I previously lived in a large apartment complex with over 500 apartment units, all owned by a single landlord.The complex was plagued by inefficient service delivery, issue reporting, and maintenance operations.Tenants were expected to report problems via a shared WhatsApp account, which often resulted in messages going unread, being read too late, or being forgotten due to the high volume of incoming messages.The landlord’s technicians(who included plumbers,carpenters, masons, electricians, roofers et-cetera) who were responsible for addressing various issues, frequently ignored calls for assistance or provided false excuses about their availability. Tracking the technicians' whereabouts and providing feedback to the landlord on their work was a challenging task.To make matters worse, some tenants used the same WhatsApp account to advertise their goods that they were selling(such as food, clothes et-cetera), causing further confusion and hindering the issue reporting process.Reporting misbehaving neighbors who violated the tenancy agreement and were a nuisance to other neighbors, also proved to be difficult.I finally had enough and moved out of that place… which kept me wondering…if I was fortunate enough to somehow get money in the future and was able to build my own set of apartments, just like my former landlord did, what would I do differently?Welcome…. Join me in this course as I build an MVP(which is a minimum viable product), to solve some of the problems I encountered while I was living in the apartment complex. This solution being an MVP, of course it can be improved or customized to solve your needs.I hope this course will provide valuable insights and solutions to those facing similar challenges in apartment management..

Topicwise breakup of questions (Tentative)Module 1 - Fundamentals of Testing - 7-8 questionsModule 2 - Testing throughout SDLC - 5-6 questionsModule 3 - Static Testing - 5-6 questionsModule 4 - Dynamic Testing - 10-11 questionsModule 5 - Managing test activities - 8-9 questionsModule 6 - Testing Tools - 2-3 questionsWhat is Software Testing?Software Testing is a method to assess the functionality of the software program. The process checks whether the actual software matches the expected requirements and ensures the software is bug-free. The purpose of software testing is to identify the errors, faults, or missing requirements in contrast to actual requirements. It mainly aims at measuring the specification, functionality, and performance of a software program or application. Software testing can be stated as the process of verifying and validating whether a software or application is bug-free, meets the technical requirements as guided by its design and development, and meets the user requirements effectively and efficiently by handling all the exceptional and boundary cases. The process of software testing aims not only at finding faults in the existing software but also at finding measures to improve the software in terms of efficiency, accuracy, and usability. The article focuses on discussing Software Testing in detail. Key highlights of this course includes : 1. Course is intended to help you in preparation for your upcoming ISTQB CTFL exam.2. Every question will be provided with correct answers along with reason behind the correct answers, thus helping in clearing key concepts as well.3. Extended code coverage / branch coverage examples are provided so as to help with code coverage examples.4. Includes questions on new topics like Devops and testing included in ISTQB CTFL v4.0 5. New questions to be added frequently to help you with

Το μάθημα "Εκμάθηση ArcGIS Pro - Δημιουργία Θεματικού Χάρτη" απευθύνεται σε αρχάριους και προχωρημένους χρήστες που επιθυμούν να αναπτύξουν δεξιότητες στη δημιουργία επαγγελματικών θεματικών χαρτών χρησιμοποιώντας το λογισμικό ArcGIS Pro.Μέσα από θεωρητική καθοδήγηση και πρακτική εφαρμογή, οι συμμετέχοντες θα μάθουν:Τα βασικά εργαλεία και τη διεπαφή του ArcGIS Pro.Πώς να εισάγουν, να διαχειρίζονται και να επεξεργάζονται γεωγραφικά δεδομένα.Τεχνικές δημιουργίας θεματικών χαρτών βάσει διαφορετικών τύπων δεδομένων (ποσοτικά, ποιοτικά κ.ά.).Την προσαρμογή της αισθητικής και της δομής ενός χάρτη για επαγγελματική παρουσίαση.Εξαγωγή χαρτών σε διάφορες μορφές (PDF, εικόνα, διαδραστικές εφαρμογές).Σε ποιον απευθύνεται:Το μάθημα είναι κατάλληλο για φοιτητές, επαγγελματίες στον τομέα των γεωγραφικών συστημάτων πληροφοριών (GIS), πολεοδόμους, περιβαλλοντολόγους, καθώς και οποιονδήποτε ενδιαφέρεται να μάθει πώς να παρουσιάζει δεδομένα με γεωγραφική διάσταση μέσω θεματικών χαρτών. Ενδεικτικά, αφορά κυρίως ειδικότητες όπως, Μηχανικοί, Τοπογράφοι, Γεωλόγοι, Μηχανικοί, Δασολόγοι, Πολιτικοί Μηχανικοί, Μηχανικοί Γεωπληροφορικής κτλ.Προαπαιτούμενα:Βασικές γνώσεις ηλεκτρονικού υπολογιστή.Δεν απαιτείται προηγούμενη εμπειρία με το ArcGIS Pro.Με το πέρας του μαθήματος, οι συμμετέχοντες θα έχουν τη δυνατότητα να δημιουργούν εξειδικευμένους θεματικούς χάρτες που εντυπωσιάζουν και προσφέρουν πολύτιμη πληροφόρηση. Η επεξήγηση των δυνατοτήτων GIS ειναι απλουστευμένη και με απλή εξάσκηση, θα μπορεί ο κάθε χρήστης να δημιουργήσει τον δικό του χάρτη. Είναι σημαντικό να αναφερθεί πως με το πέρας της παρακολούθησεις των μαθημάτων, δύναται να παρέχεται υποστήριξη και συνεργασία.

Oracle Apps R12 Accounts Receivable (AR) and Fixed Assets Course Bundle includes Oracle Apps R12 Accounts Receivable Course and Oracle Apps R12 Fixed Assets Course Oracle Apps R12 Accounts Receivable TrainingThe Oracle R12 Accounts Receivable course is designed to give students practical experience of working with the Oracle Accounts Receivable module. It is end-user focused and includes all the day to day tasks such as setting up customer accounts, raising invoices and credit notes and applying cash together with making inquiries and running standard reports.From this course, you get a clear idea ofAccount Receivables Introduction, Key Flex Fields, Sales Tax Location, Territory, Statement Cycle, System Options, Remittance to Address, Payment Terms, Introduction to Dunning Letters, Collectors, Customers, Auto Cash Role Set, Customer Profile Class, Customer Bank Creation, Transaction Types, Invoice Transaction, Credit Memo, Deposit transaction, Bills receivable, Guarantee, Chargeback, Transaction Sources, Receipt Classes, Receipt Sources, Creating Invoice, Applying the Receipt to Invoice, Rise the Credit memo, Create Deposit Invoice and Applying the Deposit to Invoice, Applying the receipt, Miscellaneous Receipts, Remittance Receipts, Month ending process.Who is the target audience?This Oracle R12 Accounts Receivable training course is designed for personnel working within Finance and Accounts Receivable departments. It is suitable for end users or their supervisors, or equally for management or financial accountants or first line support staff. Learners should have knowledge of the accounts receivable function within their own organization.Oracle Apps R12 Fixed Assets Module TrainingThe Oracle R12 Fixed Assets Management course is suitable for managers and end users such as Fixed Asset Accountants or those wh

Learn how to clean, transform, and prepare real-world data using KNIME without writing a single line of code.In this hands-on course, you will work on a real consulting-style case study based on an energy drinks dataset. You will learn how to turn messy, unstructured data into clean, analysis-ready datasets that can be used for reporting and decision-making.You will build KNIME workflows step by step and learn how to automate data preparation processes. By the end of the course, you will be able to prepare data for tools such as Power BI or Tableau and apply structured data transformation techniques in real-world scenarios.What makes this course differentThis course is built around a practical business scenario rather than isolated feature demonstrations. You will not just learn KNIME concepts, but apply them step by step to solve a realistic data problem, similar to how data analysts and consultants work in practice.What you will learnClean and transform messy real-world datasets using KNIMEBuild visual workflows for data preparation without codingPerform ETL processes (extract, transform, load) step by stepCombine and reshape data from multiple sourcesAutomate repetitive data preparation tasksPrepare datasets for Power BI, Tableau, or further analysisApply basic machine learning workflows in KNIMEExplore generative AI features in KNIMEUnderstand when to use KNIME instead of Excel or PythonWhy KNIMEKNIME is a powerful and free data analytics platform that allows you to build workflows using a visual, drag-and-drop interface. It combines the flexibility of programming with the simplicity of no-code tools, making it an ideal starting point for beginners.Hands-on learning approachThis course focuses on learning by doing. You will start from the basics and work through a complete case s