19 Data Quality courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS OVERVIEW * Import/Export Wizard * Exporting Data with the Wizard * Common Import Concerns * Quality Checking Imported/Exported Data 2 - WORKING WITH SOLUTIONS AND PROJECTS * Working with SQL Server Data Tools * Understanding Solutions and Projects * Working with the Visual Studio Interface 3 - BASIC CONTROL FLOW * Working with Tasks * Understanding Precedence Constraints * Annotating Packages * Grouping Tasks * Package and Task Properties * Connection Managers * Favorite Tasks 4 - COMMON TASKS * Analysis Services Processing * Data Profiling Task * Execute Package Task * Execute Process Task * Expression Task * File System Task * FTP Task * Hadoop Task * Script Task Introduction * Send Mail Task * Web Service Task * XML Task 5 - DATA FLOW SOURCES AND DESTINATIONS * The Data Flow Task * The Data Flow SSIS Toolbox * Working with Data Sources * SSIS Data Sources * Working with Data Destinations * SSIS Data Destinations 6 - DATA FLOW TRANSFORMATIONS * Transformations * Configuring Transformations 7 - MAKING PACKAGES DYNAMIC * Features for Making Packages Dynamic * Package Parameters * Project Parameters * Variables * SQL Parameters * Expressions in Tasks * Expressions in Connection Managers * After Deployment * How It All Fits Together 8 - CONTAINERS * Sequence Containers * For Loop Containers * Foreach Loop Containers 9 - TROUBLESHOOTING AND PACKAGE RELIABILITY * Understanding MaximumErrorCount * Breakpoints * Redirecting Error Rows * Logging * Event Handlers * Using Checkpoints * Transactions 10 - DEPLOYING TO THE SSIS CATALOG * The SSIS Catalog * Deploying Projects * Working with Environments * Executing Packages in SSMS * Executing Packages from the Command Line * Deployment Model Differences 11 - INSTALLING AND ADMINISTERING SSIS * Installing SSIS * Upgrading SSIS * Managing the SSIS Catalog * Viewing Built-in SSIS Reports * Managing SSIS Logging and Operation Histories * Automating Package Execution 12 - SECURING THE SSIS CATALOG * Principals * Securables * Grantable Permissions * Granting Permissions * Configuring Proxy Accounts ADDITIONAL COURSE DETAILS: Nexus Humans 55321 SQL Server Integration Services training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55321 SQL Server Integration Services course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: 1. Why place more focus on data assets? 2. Is data management just about serving geoscientists or engineers with fresh data? 3. What is the value of data management in the E&P sector for decision making? 4. How to convince the data consumers that the data we provide is reliable? 5. Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: * Understand why the data asset is now considered as a main asset by energy organizations * Appreciate the importance of data governance and become an active stakeholder of it * Understand the architecture and implementation of data structure in their professional environment * Get familiarized with the more important data management activities such as data security and data quality * Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: * All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants * A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives * A detailed reference manual * A lexicon of terms for data-management * Limited class size to encourage the interactivity Target Audience This VILT course is intended for: * Junior/new data managers * Geoscientists * Reservoir engineers * Producers * Maintenance specialists * Construction specialists * Human resources * Legal Course Level * Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 4 Days 24 CPD hours This course is intended for Data Analysts responsible for data quality using QualityStageData Quality ArchitectsData Cleansing Developers Overview List the common data quality contaminantsDescribe each of the following processes: Investigation, Standardization, Match. & SurvivorshipDescribe QualityStage architectureDescribe QualityStage clients and their functionsImport metadataBuild and run DataStage/QualityStage jobs, review resultsBuild Investigate jobsUse Character Discrete, Concatenate, and Word Investigations to analyze data fieldsDescribe the Standardize stageIdentify Rule SetsBuild jobs using the Standardize stageInterpret standardization resultsInvestigate unhandled data and patternsBuild a QualityStage job to identify matching recordsApply multiple Match passes to increase efficiencyInterpret and improve match resultsBuild a QualityStage Survive job that will consolidate matched records into a single master recordBuild a single job to match data using a Two-Source match This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from three source systems. DATA QUALITY ISSUES * Listing the common data quality contaminants * Describing data quality processes QUALITYSTAGE OVERVIEW * Describing QualityStage architecture * Describing QualityStage clients and their functions DEVELOPING WITH QUALITYSTAGE * Importing metadata * Building DataStage/QualityStage Jobs * Running jobs * Reviewing results INVESTIGATE * Building Investigate jobs * Using Character Discrete, Concatenate, and Word Investigations to analyze data fields * Reviewing results STANDARDIZE * Describing the Standardize stage * Identifying Rule Sets * Building jobs using the Standardize stage * Interpreting standardize results * Investigating unhandled data and patterns MATCH * Building a QualityStage job to identify matching records * Applying multiple Match passes to increase efficiency * Interpreting and improving Match results SURVIVE * Building a QualityStage survive job that will consolidate matched records into a single master record TWO-SOURCE MATCH * Building a QualityStage job to match data using a reference match ADDITIONAL COURSE DETAILS: Nexus Humans KM213 IBM InfoSphere QualityStage Essentials v11.5 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the KM213 IBM InfoSphere QualityStage Essentials v11.5 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI INTRODUCTION TO INTEGRATION AND ADMINISTRATION * Oracle Data Integrator: Introduction * Oracle Data Integrator Repositories ADMINISTERING ODI REPOSITORIES * Create and connect to the Master Repository * Export and import the Master Repository * Create, connect, and set a password to the Work Repository ODI TOPOLOGY CONCEPTS * ODI Topology: Overview * Data Servers and Physical Schemas * Defining Topology * Agents in Topology * Planning a Topology DESCRIBING THE PHYSICAL AND LOGICAL ARCHITECTURE * Topology Navigator * Creating Physical Architecture * Creating Logical Architecture SETTING UP A NEW ODI PROJECT * ODI Projects * Using Folders * Understanding Knowledge Modules * Exporting and Importing Objects * Using Markers ORACLE DATA INTEGRATOR MODEL CONCEPTS * Understanding the Relational Model * Understanding Reverse-Engineering * Creating Models ORGANIZING ODI MODELS AND CREATING ODI DATASTORES * Organizing Models * Creating Datastores * Constraints in ODI * Creating Keys and References * Creating Conditions * Exploring Your Data * Constructing Business Rules ODI MAPPING CONCEPTS * ODI Mappings * Expressions, Join, Filter, Lookup, Sets, and Others * Behind the Rules * Staging Area and Execution Location * Understanding Knowledge Modules * Mappings: Overview DESIGNING MAPPINGS * Multiple Sources and Joins * Filtering Data * Overview of the Flow in ODI Mapping * Selecting a Staging Area * Configuring Expressions * Execution Location * Selecting a Knowledge Module MAPPINGS: MONITORING AND TROUBLESHOOTING * Monitoring Mappings * Working with Errors DESIGNING MAPPINGS: ADVANCED TOPICS 1 * Working with Business Rules * Using Variables * Datasets and Sets * Using Sequences DESIGNING MAPPINGS: ADVANCED TOPICS 2 * Partitioning * Configuring Reusable Mappings * Using User Functions * Substitution Methods * Modifying Knowledge Modules USING ODI PROCEDURES * Procedures: Overview * Creating a Blank Procedure * Adding Commands * Adding Options * Running a Procedure USING ODI PACKAGES * Packages: Overview * Executing a Package * Review of Package Steps * Model, Submodel, and Datastore Steps * Variable Steps * Controlling the Execution Path STEP-BY-STEP DEBUGGER * Starting a Debug Session * New Functions * Menu Bar Icons MANAGING ODI SCENARIOS * Scenarios * Managing Scenarios * Preparing for Deployment USING LOAD PLANS * What are load plans? * Load plan editor * Load plan step sequence * Defining restart behavior ENFORCING DATA QUALITY WITH ODI * Data Quality * Business Rules for Data Quality * Enforcing Data Quality with ODI WORKING WITH CHANGED DATA CAPTURE * CDC with ODI * CDC implementations with ODI * CDC implementation techniques * Journalizing * Results of CDC ADVANCED ODI ADMINISTRATION * Setting Up ODI Security * Managing ODI Reports * ODI Integration with Java

Duration 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Solution Architect Overview This course will prepare you to: Present the MDM solution strategy of SAP Explain the data domains and processes related to MDG Perform basic configuration of standard MDG content Adjust and extend the standard MDG content Create custom content for MDG This course gives you the technical and business knowledge you need to use SAP Master Data Governance to ensure ongoing master data quality. The advanced user will also gain understanding and skills related to configuration, as well as the knowledge required to extend and modify the solution, including the ability to create a custom-solution based on the Custom master data domain. INTRODUCTION TO SAP MASTER DATA GOVERNANCE S/4HANA MASTER DATA OVERVIEW MDG FOR DOMAIN MATERIAL MDG FOR DOMAIN BUSINESS PARTNER, SUPPLIER, CUSTOMER MDG FOR DOMAIN FINANCE & HIERARCHY MANAGEMENT MDG MULTIPLE OBJECT PROCESSING & MASS CHANGES MDG CONSOLIDATION AND MASS PROCESSING MDG PROCESS ANALYTICS MDG MASTER DATA QUALITY APPLICATION MDG DATA QUALITY ENHANCEMENTS MDG PROCESS MODELING MDG EXCHANGE & MDG DATA TRANSFER MDG CUSTOM OBJECTS & ENHANCEMENTS MDG CUSTOMIZING, SETUP & PROJECT STRATEGIES ADDITIONAL COURSE DETAILS: Nexus Humans MDG100 SAP Master Data Governance on SAP S/4HANA training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the MDG100 SAP Master Data Governance on SAP S/4HANA course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This basic course is for business data analysts who want to profile and assess data using Information Analyzer, also data quality analysts who need to measure data quality. Overview Analyze data structures to determine agreement with documented metadataDiscover data anomaliesIdentify invalid and incomplete data valuesDetermine potential primary keys to table structuresAdd business meaning to dataProduce deliverables that can be used by business users and ETL developersConfigure Information AnalyzerAdminister the Information Analyzer environmentUnderstand security considerations around data analysisUnderstand the methodology supporting data analysisUse Information Analyzer to analyze data content and structureUse Information Analyzer to construct data rules and utilize IBM-supplied data rule templates In this course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. COURSE OUTLINE * Information Analysis concepts * Information Server overview * Information Analyzer overview * Information Analyzer Setup * Column analysis * Concepts * Basic data profiling techniques in practice * Data profiling techniques * Primary key analysis * Concepts * Basic data profiling techniques in practice * Foreign key and cross domain analysis * Concepts * Basic data profiling techniques in practice * Baseline analysis * Reporting and publishing * Extending the meta data using Information Governance Catalog and Information Analyzer * Data Rules and Metrics ADDITIONAL COURSE DETAILS: Nexus Humans KM803 IBM Information Analyzer Essentials v11.5 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the KM803 IBM Information Analyzer Essentials v11.5 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This class is ideal for admins with at least 6 months of experience administering Salesforce, and is a great foundational course for anyone looking to earn their Salesforce Advanced Administrator credential. Overview Determine and implement appropriate data access and visibility settings. Manage configuration changes in a sandbox environment and move metadata between environments using change sets. Extend the functionality of your implementation with custom objects and apps. Extend your reporting to provide up-to-date views of your business. Customize the Salesforce mobile app and create quick actions to increase efficiency. Improve data quality so that the ongoing task of data maintenance is not so overwhelming. Implement complex business processes using workflow rules, Process Builder, approval processes, and flows. Take your Salesforce Administrator skills to the next level and supercharge your knowledge to solve pressing business needs. In this 4-day class, discover how to extend Salesforce with custom objects and Lightning apps, generate complex reports and dashboards, and automate complex business requirements to work more efficiently. Our Salesforce experts will share tips and best practices to take your admin skills to the next level and arm you with the skills to get more out of Salesforce. RECORD ACCESS AND FIELD VISIBILITY * Troubleshoot Record Access * Understand the Impact of Territory Management on the Sharing Model * Manage Field Visibility CHANGE MANAGEMENT * Manage Changes in a Sandbox * Deploy Changes Using Change Sets CUSTOM OBJECTS AND APPS * Build Custom Objects, Tabs, and Apps * Create Relationships Between Objects * Use Delegated Administration ADVANCED REPORTING * Create Custom Report Types * Build Exception Reports with Cross Filters * Categorize Report Data with Bucketing * Extend Summaries in Reports and Dashboards * Display Multiple Views of Data Using Joined Reports * Analyze Data Over Time with Historical Trending and Reporting Snapshots SALESFORCE MOBILE APP AND QUICK ACTIONS * Customize the Salesforce Mobile App * Create Object-Specific Quick Actions * Create Global Quick Actions DATA QUALITY * Assess, Cleanse, and Maintain Data * Prevent Duplicate Records Using Duplicate Management AUTOMATED BUSINESS PROCESSES * Use Validation Rules, Formula Fields, Workflow Rules, and Process Builder to Enforce and Automate Business Processes APPROVAL PROCESSES * Manage Approval Processes * Troubleshoot Approval Processes VISUAL WORKFLOW * Understand Use Cases for Visual Workflow * Build and Deploy a Flow ADVANCED BUSINESS PROCESS AUTOMATION * Understand When to Use Apex and Visualforce for Extending Business Process Automation * Understand the Order of Execution for Automated Processes * Use Debug Logs to Troubleshoot Business Process Issues

Duration 3 Days 18 CPD hours This course is intended for This class is designed for individuals who are (or will soon be) supporting a Salesforce implementation in a decision-making capacity. This includes, but is not limited to, business analysts, IT managers, project managers, executive leaders, and executive sponsors. This class is not recommended for individuals tasked with solution-building. Overview When you complete this course, you will be able to: Identify key stakeholders needed for a successful Salesforce implementation. Describe the Salesforce data model as it relates to Customer 360, Salesforce Clouds, and the Salesforce Platform. Communicate the appropriate security measures needed to control org and data access. Discuss which standard or custom objects and applications should be implemented based on specific requirements and use cases. Effectively strategize how to migrate data into your Salesforce org while maintaining high data quality. Understand Salesforce automation tools and how they solve for various business challenges. Analyze Salesforce data with Reports and Dashboards. Navigate the key phases and milestones of a Salesforce implementation. Explore Salesforce features and functionality and gain the knowledge to make Salesforce implementation decisions with confidence. In this 3-day, heavily discussion-based class, learn about standard and custom objects and applications, data management, data visualization, flow automation tools, security mechanisms, and more. Successfully navigate the key phases and milestones of a Salesforce implementation, effectively communicate business needs, and provide directives to team members tasked with solution-building to deliver a robust Salesforce solution that achieves business goals. SALESFORCE DATA MODEL * Discover the Customer 360 Platform * Examine Salesforce Clouds * Navigate the Salesforce Platform * Review the Salesforce Platform Data Model * Understand Data Visualization SECURITY & ACCESS * Create Users * Access the Org * Control Data OBJECTS & APPLICATIONS * Review Standard Objects * Understand Custom Objects * Explore Standard Applications * Discover Custom Applications SALESFORCE CUSTOMIZATIONS * Work with Fields * Design Page Layouts * Understand Record Types * Review Dynamic Capabilities SUCCESSFUL DATA MANAGEMENT * Determine Data Strategy * Create Data * Ensure Data Quality PROCESS AUTOMATION * Streamline Business Processes Using Automation Tools * Learn Purpose-Driven Automation * Automate With Flow DATA ANALYSIS USING REPORTS & DASHBOARDS * Organize Reports and Dashboards * Build Reports * Create Dashboards * Create an Analytics Strategy ADOPTION & CONTINUED IMPROVEMENT * Adopt Your Implementation * Evaluate Continued Improvements ADDITIONAL COURSE DETAILS: Nexus Humans Understand and Drive Your Salesforce Implementation ( BSX101 ) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Understand and Drive Your Salesforce Implementation ( BSX101 ) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. OVERVIEW OF DATA SCIENCE AND MACHINE LEARNING AT SCALE OVERVIEW OF THE HADOOP ECOSYSTEM WORKING WITH HDFS DATA AND HIVE TABLES USING HUE INTRODUCTION TO CLOUDERA DATA SCIENCE WORKBENCH OVERVIEW OF APACHE SPARK 2 READING AND WRITING DATA INSPECTING DATA QUALITY CLEANSING AND TRANSFORMING DATA SUMMARIZING AND GROUPING DATA COMBINING, SPLITTING, AND RESHAPING DATA EXPLORING DATA CONFIGURING, MONITORING, AND TROUBLESHOOTING SPARK APPLICATIONS OVERVIEW OF MACHINE LEARNING IN SPARK MLLIB EXTRACTING, TRANSFORMING, AND SELECTING FEATURES BUILDING AND EVAUATING REGRESSION MODELS BUILDING AND EVALUATING CLASSIFICATION MODELS BUILDING AND EVALUATING CLUSTERING MODELS CROSS-VALIDATING MODELS AND TUNING HYPERPARAMETERS BUILDING MACHINE LEARNING PIPELINES DEPLOYING MACHINE LEARNING MODELS ADDITIONAL COURSE DETAILS: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.