3044 Software Development courses

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Duration 1 Days 6 CPD hours This course is intended for This basic course is designed for system administrators, system architects, application developers, quality assurance specialists, and technical sales and marketing professionals. Overview After completing this course, you should be able to: Summarize current business drivers and the need for flexibility Describe enterprise messaging and the capabilities it must provide Identify the main ways that IBM© MQ can impact application design Describe the basic components of IBM© MQ Differentiate between point-to-point and IBM© MQ cluster connectivity Summarize queue manager and queue manager components administrative tasks Contrast the architectural role of IBM© MQ clusters and multiple instance queue managers Describe the security provisions of IBM© MQ and IBM© MQ Advanced Message Security Describe how IBM© MQ is used as part of the communications infrastructure to: Connect application environments, such as the World Wide Web, enterprise transaction systems, and database systems Manage the distribution of publisher information to appropriate subscribers Provide file transfer management with IBM© MQ Managed File Transfer Serve as a JMS provider Interface with WebSphere Application Server Store in-flight messages for IBM© Integration Bus Interact with z/OS applications Facilitate connectivity to mobile environments with IBM© MQ Telemetry Describe the options for deployment to the Cloud In this course, you learn about IBM© MQ V9 basic components and the path that messages follow when they are exchanged between applications. You also learn how IBM© MQ administrative responsibilities can include the management of topic-based publish/subscribe messaging, managed file transfer, and deployments to the cloud. Topics include an overview of the support that IBM© MQ provides for security, publish/subscribe, high availability, administration, logging, auditing, managed file transfer, MQTT, and cloud options. Course introductionIBM© MQ overviewIBM© MQ basicsMessaging styles, topologies, and architecture overviewSystem administration overviewSecurity overviewIntroduction to IBM© MQ Managed File TransferIntroduction to IBM© MQ Telemetry and IBM© MessageSightIntroduction to the IBM© MQ ApplianceExpanding the scope of IBM© MQCourse summary

Basics Java Course. Basic Java syntax and principles of Object Orientated Programming. Java Programming Fundamentals webinar Courses London, evenings, 6 weeks. Virtual Classroom. Our Style: Hands-on, Practical Course, Instructor-led Course. Level: From basics to fully functional. Who would benefit from the course: basics to Java, attend after work. Duration: one lesson of 2 hours per week for 6 weeks, from 6pm - 8pm. The first date shows as the booking date.

🌟 Unlock the Secrets to Financial Success with Credit Control Course! 🌟 Are you ready to take control of your financial destiny? Look no further than our comprehensive Credit Control course! In today's fast-paced world, managing credit effectively is not just a skill, it's a necessity. Whether you're an individual looking to secure your financial future or a professional aiming to excel in the dynamic realm of finance, this course is your ticket to success!   🚀 Why Credit Control Matters? Credit control is the cornerstone of financial stability and success. It's the art of managing credit wisely, ensuring that debts are paid on time, and minimizing the risk of bad debt. From individuals to businesses, mastering credit control is crucial for maintaining healthy cash flow, building a solid credit history, and achieving long-term financial goals. In our Credit Control course, you'll delve into essential strategies for effective credit management, including: Understanding the fundamentals of credit and debt Implementing credit policies and procedures Evaluating credit risk and making informed decisions Negotiating with creditors and debtors Utilizing credit management tools and software Developing strategies for debt recovery With practical insights and real-world examples, you'll gain the knowledge and skills needed to navigate the complexities of credit management with confidence and proficiency.   💼 Who is this for? Our Credit Control course is designed for individuals and professionals alike who are eager to enhance their financial acumen and take charge of their financial future. Whether you're a recent graduate entering the workforce, an entrepreneur managing your business finances, or a seasoned finance professional seeking to sharpen your skills, this course is for you! Individuals seeking to improve their personal finances and credit management skills Small business owners and entrepreneurs looking to optimize cash flow and minimize bad debt Finance professionals aiming to expand their expertise in credit control and risk management Anyone interested in pursuing a career in finance or related fields No matter your background or experience level, our course offers valuable insights and practical strategies that will empower you to succeed in today's competitive financial landscape.   🏆 Career Path Embark on a rewarding career journey with the skills acquired through our Credit Control course. Whether you're pursuing opportunities in finance, accounting, or business management, mastering credit control opens doors to a wide range of exciting career paths, including: Credit Analyst Collections Specialist Financial Controller Risk Manager Loan Officer Accountant Business Consultant Financial Advisor   By investing in your education and honing your credit management skills, you'll position yourself as a valuable asset in any industry, poised for success and advancement. Don't let financial uncertainty hold you back. Enroll in our Credit Control course today and take the first step toward a brighter, more prosperous future! Unlock the secrets to financial success and pave the way for a lifetime of financial freedom and stability. 🌟   FAQ (Frequently Asked Questions) - Credit Control Course Q1: What is Credit Control? A: Credit control refers to the practices and procedures implemented by businesses to manage and monitor the credit extended to their customers. It involves assessing the creditworthiness of customers, setting credit limits, monitoring payments, and taking necessary actions to minimize credit risk and ensure timely payments. Q2: Why is Credit Control important for businesses? A: Effective credit control is crucial for maintaining healthy cash flow and minimizing the risk of bad debts. By implementing sound credit control practices, businesses can ensure that they have sufficient funds to meet their own financial obligations and invest in growth opportunities. It also helps in maintaining strong relationships with customers while protecting the business from potential losses due to non-payment or late payment. Q3: What are the key components of Credit Control? A: The key components of credit control include: Credit assessment: Evaluating the creditworthiness of customers before extending credit to them. Setting credit limits: Establishing the maximum amount of credit that can be extended to each customer based on their risk profile. Credit monitoring: Regularly monitoring the payment behavior of customers to identify any potential issues or risks. Debt collection: Taking appropriate actions to collect overdue payments from customers, including sending reminders, issuing invoices, and, if necessary, pursuing legal action. Reporting and analysis: Analyzing credit-related data and generating reports to assess the effectiveness of credit control strategies and identify areas for improvement. Q4: What are the common challenges in Credit Control? A: Some common challenges in credit control include: Balancing risk and reward: Striking the right balance between extending credit to attract customers and minimizing the risk of non-payment. Managing late payments: Dealing with customers who consistently pay late or fail to pay altogether. Keeping up with regulatory requirements: Staying compliant with relevant laws and regulations governing credit practices. Maintaining customer relationships: Ensuring that credit control measures do not strain relationships with customers while still enforcing payment terms. Adapting to changing circumstances: Adjusting credit control strategies in response to shifts in the economy, industry trends, or changes in customer behavior. Q5: How can I improve my Credit Control skills? A: Improving credit control skills requires a combination of knowledge, experience, and practical application. Consider enrolling in courses or training programs focused on credit management, staying updated on industry best practices and regulations, and seeking mentorship or guidance from experienced credit professionals. Additionally, actively engaging in credit control activities within your organization and learning from both successes and challenges can help enhance your skills over time. Course Curriculum Module 1 Understanding Credit Control Understanding Credit Control 00:00 Module 2 Credit Management Policies and Procedures Credit Management Policies and Procedures 00:00 Module 3 Effective Communication in Credit Control Effective Communication in Credit Control 00:00 Module 4 Financial Management Financial Management 00:00 Module 5 Technology in Credit Control Technology in Credit Control 00:00 Module 6 Managing Disputed Payments and Debt Recovery Managing Disputed Payments and Debt Recovery 00:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for anyone needing to interface with an Oracle database such as end users, business analysts, application developers and database administrators / DBAs. Overview Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course participants will explore: Using PL/SQL programming language for database applications and development incorporating PL/SQL modules within the application architecture from the initial design and planning phase The essentials of building executable PL/SQL program units Each of the major segments of a working program and how these interact with each other during program execution Important error or exception handling capabilities of the language. How database-resident program units can be used as part of the overall database application architecture Applying these new skills to the development of PL/SQL packages. Advanced database programming capabilities and benefits How database triggers can be used as part of an advanced database application design Oracle 19c PL/SQL Fundamentals is a three-day, hands-on course that introduces Oracle database programming using the PL/SQL programming language. Throughout the course students will explore the core syntax, structure and features of the language. This course will also lay the foundation for the entire Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications. The course also explores applying the newly learned skills to the development of database applications. Participants will learn how to use database-resident stored program units such as procedures, functions, packages and database triggers. Students will also learn about the latest features in Oracle 19c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL *Plus Setup JDeveloper About BIND and Substitution Variables Using SQL Developer Using SQL *Plus Choosing a Database Programming Language What is Database Programming PL/SQL Programming PL/SQL Performance Advantages Integration with Other Languages PL/SQL Language Essentials PL/SQL Program Structure Language Syntax Rules Embedding SQL Writing Readable Code Generating Readable Code Generating Database Output SQL * Plus Input of Program Block DECLARE Section About the Declare Section Declare Primitive Types Declaration Options Not Null Constant Data Dictionary Integration % Type Declare Simple User-Defined Types Type ? Table Type ? Record Extended User Defined Types BEGIN Section About the Begin Section Manipulating Program Data Logic Control & Braching GOTO LOOP IF-THEN-ELSE CASE EXCEPTION Section About the Exception Section Isolating the Specific Exception Pragma Exception_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT & Select ? Into Beyond the Basics : Explicit Cursors About Explicit Cursors Extend Cursor Techniques For Update of Clause Where Current of Clause Using for ? Loop Cursors Introduction Database Resident Programming Units About Database ? Resident Programs Physical Storage & Execution Types of Stored Program Units Stored Program Unit Advantages Modular Design Principles Creating Stored Procedures and Functions Stored Procedures & Functions Create Procedure / Create Function Creating Procedures & Functions Raise_Salary() Procedure Salary_Valid() function The Parameter Specification Default Clause System & Object Privileges Using the Development Tools Executing Stored Procedures and Functions Calling Procedures & Functions Unit Testing with Execute Anonymous Block Unit Testing Specifying a Parameter Notation SQL Worksheet Unit Testing Calling Functions from SQL Maintaining Stored Programming Units Recompiling Programs Mass Recompilation Using UTL_RECOMP() Dropping Procedures & Functions Drop Procedures & Functions Drop Procedure / Function Data Dictionary Metadata Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies Dependency Internals Tracking Dependencies The Dependency Tracking Utility SQL Developer Dependency Info Dependency Strategy Checklists Creating & Maintaining About Packages Creating Packages Maintaining Packages Performance Considerations Advanced Package Capabilities Definer & Invoker Rights White Lists & Accessible By Persistent Global Objects Defining Initilization Logic Object Orientation Support Advanced Cursor Techniques Using Cursor Variables Using SYS_REFCURSOR Using Cursor Expressions Using System Supplied Packages DBMS_OUTPUT() UTL_FILE() FOPEN() Example Database Trigger Concepts About Database Triggers DML Event Trigger Sub-Types Database Trigger Scenario Trigger Exhaustion Mechanisms Trigger within SQL Worksheet Creating Database Triggers Statement Level Triggers Using Raise Application_Error() Row-Level Triggers Examples of Triggers Employee_Salary_Check Example Employee_Journal Example Budget_Event Example Instead of Triggers Triggers within and Application Maintaining Database Triggers Call Syntax Trigger Maintenance Tasks Show Errors Trigger Drop Trigger Alter Trigger Multiple Triggers for a Table Handling Mutating Table Issues Implementing System Event Triggers What are System Event Triggers Defining the Scope Available System Events System Event Attributes

Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands-on learning environment led by our expert pracitioner you'll learn how to: Add Data, Retrieve, Sort and Organize a SQL Database Combine Data, Set Operators and Subqueries Manipulate Data and Data Definition Languages in SQL Work with Data Dictionary Views and Create Sequences, Indexes and Views Use Database Objects and Subqueries Perform Data and access control Perform other Advanced Level Database operations. Oracle 19C SQL Programming Fundamentals Is a three-day, hands-on course designed to equip you with the fundamental skills needed to set up, run and manage SQL databases using Oracle Database Technology. You will also be discovering all the tools and concepts required to organize data efficiently. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course, you will learn the key elements of a database, and the way Oracle systems facilitate their induction in the system. You?ll also learn the tools and strategies you can implement to store, retrieve, compare and organize data according to your requirements. You?ll also explore the process of creating simple to complex reports from existing data. By the end of this course, you will also have hands-on knowledge of SQL systems that are required to proceed to other advanced to professional programs. Adding Data, Retrieving, Sorting and Organizing a SQL Database The building blocks of a database. How to add data to the database. The process of retrieving data using SQL functions. Multiple methods of sorting and organizing data. Using SQL functions to get the required simple to complex output. Various strategies for using functions and conditions to organize data. Combining Data, Set Operators And Subqueries Consolidating data using multiple functions and group operators. Fetching intelligent data reports using simple functions. Fetching data from multiple sources in the tables. Using Subqueries to compile data as required. Using Set operators to create smart data reports. Data Manipulation and Data Definition Languages in SQL Describing and managing data transaction using Data Definition Language. Categorize and review data tables using Data Definition Language. Data Dictionary Views and Creating Sequences, Indexes and Views How to manage and query Data Dictionary Views. The process of creating and using Sequences. How to create various types of Synonyms and Indexes. Creating simple and complex views and retrieving data. Understanding and using Database Objects and Subqueries Core concept and application of Schema Objects. Fetching required data with Subqueries. Using Subqueries to organize Data in SQL. Data and access control Assigning and revoking data access. Managing data access control according to user levels. Performing Advanced Level Database operations. Using advanced functions and performing data queries. Creating and managing time zone-based databases.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for Administrator, Database Administrator, End User, Network Administrator, and Systems Administrator. Overview Upon completion of this course, students will be able to Describe and determine database security requirements, Understand Oracle security solutions to help meet security requirements, Implement basic database security, Configure network security, and Discover basic security configuration issues. This Introduction to Oracle Database Security Ed 1 training teaches you how to use Oracle Database features to help meet the security, privacy and compliance requirements of your organization. Introduction Course Objectives Course Schedule Detective Security Controls Preventive Security Controls Your Learning Aids Basic Workshop Architecture Understanding Security Requirements Fundamental Data Security Requirements Security Risks Techniques to Enforce Security Choosing Security Solutions Database Access Control: Authentication Protecting Against Database Bypass with Encryption Protecting Sensitive Data Protecting against Application Bypass Detecting Threats Compliance Implementing Basic Database Security Database Security Checklist Reducing Administrative Effort Principle of Least Privilege Objects Protection Configuring Network Security Network Access Control Listener Security Listener Usage Control Manage fine-grained access to external network services Discovering Basic Configuration Issues Accessing Enterprise Manager Security Reports Using Various Security Reports

Duration 4 Days 24 CPD hours This course is intended for Application Consultant Data Consultant / Manager Developer Consultant Technology Consultant Program / Project Manager Business Analyst Developer User Business Process Owner / Team Lead / Power User Overview This course will prepare you to: Outline SAP Transportation Management business processes Identify and examine the SAP TM building blocks necessary for processing shipments of goods. Engage in Transportation network maintenance, order/requirements integration and management, transportation planning, shipment execution, and freight invoicing and settlement. Use both the SAP ERP and SAP TM systems using the NetWeaver Business Client interface This course will help you to prepare for the blueprinting stage of your SAP Transportation Management implementation or enable you to use the system in your role as a business user. You will gain an overview of the key business transactions and system capabilities to enable you to design the processes you will use within your own organization. You will learn how SAP TM can help you to support Order Management, Transportation Planning, Subcontracting, Execution, Charge Calculation and Settlement. This course is the mandatory foundational prerequisite for all follow-on SAP TM training courses. SAP Transportation Management (SAP TM) Evaluating SAP Transportation Management Evaluating the SAP TM System Landscape SAP TM User Interface Identifying NetWeaver Business Client Components Personalizing Object Worklists Transportation Management Master Data Identifying Master Data Requirements for SAP TM Evaluating the Organizational Structures Used in SAP TM Defining Conditions Determining Freight Incompatibilities Determining Dangerous Goods Shipping Requirements Transportation Order Management Triggering the Transportation Management Process Integrating SAP ERP with SAP TM Managing the Freight Forwarding Process Booking Capacities Transportation Planning Defining the Transportation Planning Process Viewing Freight Units Building Packages Defining Selection Profiles Determining Planning Profiles Accessing the Transportation Cockpit Creating Transportation Proposals Creating Freight Orders Optimizing Loads Transportation Execution Performing Carrier Selection Tendering Freight Orders Triggering Delivery Creation from SAP TM Executing Transportation in SAP ERP Integration between SAP TM and SAP EWM Generating Outputs Monitoring Transportation Events Exporting Freight Orders Analyzing Transportation Management Performance Charge Calculation and Freight Settlement Managing Charge Calculation Master Data Calculating Supplier Charges in Freight Orders Settling Supplier Freight Charges Calculating and Settling Customer Charges in Forwarding Orders Distributing Costs Settling Freight Charges in Group Logistics Companies Managing Freight Contracts