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Duration 2 Days 12 CPD hours This course is intended for Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Overview The first day of the TOGAF Foundation Level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. The second day is devoted to going through an architectural process based on a case, in which the concepts discussed the previous day are reviewed again, but this time in context. In this way you obtain a clear and clear picture of TOGAF and the mostly theoretical and abstract material is presented in a digestible way. The TOGAF Foundation level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. Part 1 Introduction Introduction Enterprise Architecture Position Enterprise Architecture Introduction TOGAF Overview of TOGAF concepts Architecture Capability Framework Architecture Development Method (ADM) Guidelines & Techniques Enterprise Continuity & Tools Reference Models Architecture Content Framework preliminary phase Phase A Architecture Vision' Phase B Business Architecture Phase C Information Systems Architecture Phase D Technology Architecture Phase E: Opportunities & Solutions Phase F: Migration Planning Phase G: Implementation Governance Phase H: Architecture Change Management Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Part 2 TOGAF Concepts Part 3 Going through a TOGAF Cycle Additional course details: Nexus Humans TOGAF 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 TOGAF 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 This course is intended for Operational Technology (OT) Engineers IT engineers Generalists, including managers, project leads, and solutions and business architects Overview Define what IIoT is and identify IIoT architectures. Identify IIoT market verticals, and their motivations and requirements. Explore Cisco IIoT networking devices, how they are different from other devices, and use common administrative tools for managing them. Explore industrial communications protocols for control and automation, and how they have been adapted to run on top of a TCP/IP network infrastructure. Describe wireless protocols used in IIoT environments, including architectures and devices used. Understand the TCP/IP protocol stack and how it is used with other protocols in IIoT environments. Discuss network protocols for clock synchronization between network devices, and describe available tools for IIoT network administration. Discuss wireless technologies used in a core LAN, and their relevance to IIoT implementations. Explore field WAN technologies and how they are used in IIoT environments. Explore legacy protocols and explain the methods available to transport non-routable protocols over modern networks. Explain fundamental concepts of Quality of Service (QoS) related to IIoT network environments. Discuss Multiprotocol Label Switching (MPLS) operation, components, terminology, and features, and explore its use in IIoT environments. Explore Layer 2 and Layer 3 VPN technologies and describe the way they can be used on IIoT deployments. Describe Dense Wave Division Multiplexing (DWDM) technology and its use in IIoT environments. Explore Layer 1 and Layer 2 high availability technologies and redundancy mechanisms. Describe Layer 3 high availability and the need for Layer 3 redundancy in IIoT deployments The Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 course gives you an overview of the protocols, applications, and network infrastructure you need to support and manage Industrial Internet of Things (IIoT) solutions. You will learn about IIoT industry verticals and how different protocols are used within them. The course also covers configuring and verifying the protocols on Cisco© IIoT networking devices. Course Introduction.Defining Industrial Internet of ThingsExamining Common IIoT Verticals.Examining Cisco IIoT Networking Devices.Examining and Configuring Industrial Communication Protocols.Describing Wireless IIoT Protocols.Explaining and Configuring TCP/IP Protocols, Addressing, and Segmentation.Examining Network Services and Administration.Examining and Configuring Wireless Core LAN Technologies.Describing Field WAN Technologies.Examining and Configuring Transportation of Legacy Protocols.Describing, Configuring, and Verifying Quality of Service (QoS) for IIoT Protocols.Examining and Verifying MPLS and IIoT.Configuring and Explaining VPN Technology and IIoT.Describing DWDM.Configuring and Defining Layer 1 and Layer 2 High Availability Technologies.Defining and Configuring Layer 3 High Availability TechnologiesLab outline Connect to the Cisco IIoT Devices. Use Industrial Protocols with Cisco Industrial Ethernet Switches. Configure an 802.11 Client. Configure an IPv6 Address. Configure Layer 2 Network Address Translation (NAT) and IP Addressing in an Example IoT Deployment.

Duration 5 Days 30 CPD hours This course is intended for This course is for professionals who need knowledge about implementing various Service Provider core technologies and advanced routing technologies. Network administrators System engineers Project managers Network designers Overview After taking this course, you should be able to: Describe the main characteristics of routing protocols that are used in Service provider environments Implement advanced features of multiarea Open Shortest Path First (OSPFv2) running in Service Provider networks Implement advanced features of multilevel Intermediate System to Intermediate System (ISIS) running in Service Provider networks Configure route redistribution Configure Border Gateway Protocol (BGP) in order to successfully connect the Service Provider network to the customer or upstream Service Provider Configure BGP scalability in Service Provider networks Implement BGP security options Implement advanced features in order to improve convergence in BGP networks Troubleshoot OSPF, ISIS, and BGP Implement and verify MPLS Implement and troubleshoot MPLS traffic engineering Implement and verify segment routing technology within an interior gateway protocol Describe how traffic engineering is used in segment routing networks Implement IPv6 tunneling mechanisms Describe and compare core multicast concepts Implement and verifying the PIM-SM protocol Implement enhanced Protocol-Independent Multicast - Sparse Mode (PIM-SM) features Implement Multicast Source Discovery Protocol (MSDP) in the interdomain environment Implement mechanisms for dynamic Rendezvous Point (RP) distribution The Implementing Cisco Service Provider Advanced Routing Solutions (SPRI) 5-day course teaches you theories and practices to integrate advanced routing technologies including routing protocols, multicast routing, policy language, Multiprotocol Label Switching (MPLS), and segment routing, expanding your knowledge and skills in service provider core networks. This course prepares you for the 300-510 Implementing Cisco© Service Provider Advanced Routing Solutions (SPRI) exam. The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification. This course will help you: Gain the high-demand skills to maintain and operate advanced technologies related to Service Provider core networks Increase your knowledge and skills for implementing Service Provider core advanced technologies though hands-on application and practical instruction Prepare to take the 300-510 SPRI exam Course Outline Implementing and Verifying Open Shortest Path First Multiarea Networks Implementing and Verifying Intermediate System to Intermediate System Multilevel Networks Introducing Routing Protocol Tools, Route Maps, and Routing Policy Language Implementing Route Redistribution Influencing Border Gateway Protocol Route Selection Scaling BGP in Service Provider Networks Securing BGP in Service Provider Networks Improving BGP Convergence and Implementing Advanced Operations Troubleshooting Routing Protocols Implementing and Verifying MPLS Implementing Cisco MPLS Traffic Engineering Implementing Segment Routing Describing Segment Routing Traffic Engineering (SR TE) Deploying IPv6 Tunneling Mechanisms Implementing IP Multicast Concepts and Technologies Implementing PIM-SM Protocol Implementing PIM-SM Enhancements Implementing Interdomain IP Multicast Implementing Distributed Rendezvous Point Solution in Multicast Network

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe network architectures, devices, and software used by service providers Describe the various Internet governance organizations, their roles, and tools available for governance information verification Configure Cisco Internetwork Operating System (Cisco IOS) and Cisco IOS XE routers Describe Cisco IOS XR software, perform initial configuration, and explain platform daily tasks Describe various access and core technologies used by service providers Describe various major switching technologies used by service providers Describe major overlay technologies and their usage, and configure Virtual Extensible LAN I (VxLAN) Describe various major routing protocols used by service providers Configure Layer 3 services used by service providers Describe Multiprotocol Label Switching (MPLS), components, protocols, and MPLS usage Describe usage of various services used and maintained by service providers Introduce Linux networking, Bourne Again Shell (BASH) scripting, and their usage within Cisco IOS XR software This course is designed to provide you with the foundational knowledge for the suite of Cisco© CCNP© Service Provider courses. The course expands what you learned from the Cisco CCNA© course with a focus on theoretical and practical knowledge needed for the Service Provider environment. Through a combination of lessons and hands-on practice, you will learn about architectures, protocols, software and hardware platforms, and solutions within the Service Provider realm. While this course does not lead directly to a certification exam, it does cover foundational knowledge critical to the success in the Service Provider Technology track. Course Outline Introducing Service Provider Architectures Describing Internet Governance Organizations Configuring the Cisco IOS and Cisco IOS XE Router Configuring Cisco IOS XR Router Introducing Access and Core Technologies in the Service Provider Environment Introducing Routing Technologies in the Service Provider Environment Describing MPLS Implementing Layer 3 Services Introducing Switching Technologies in the Service Provider Environment Introducing Overlay Technologies Implementing Service Provider Services Introducing Programmability on Cisco IOS XR Routers Lab outline Review Lab Environment Examine Governance Data Perform an Initial Cisco Internetworking Operating System (IOS XE) Configuration Configure Connectivity and Connectivity Verification on Cisco IOS XE Devices Perform Initial Cisco IOS XR Configuration Configure and Verify Connectivity on Cisco IOS XR Configure Intermediate System to Intermediate System (IS-IS) Configure Routing Information Protocol (RIPv2) and RIP extension (RIPng) Configure Basic Border Gateway Protocol (BGP) Configure MPLS Configure Internet Protocol Service Level Agreement (IP SLA) Configure Hot Standby Router Protocol (HSRP) with Object Tracking Configure Virtual Routing and Forwarding (VRFs) Configure Network Time Protocol (NTP) Use Linux Command Line Interface Configure IOS XR Using a Bash Script

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 3 Days 18 CPD hours This course is intended for This course is intended for network engineers, support personnel, reseller support, and others responsible for implementing Juniper Networks ScreenOS firewall products. Overview After successfully completing this course, you should be able to:Explain the Juniper Networks security architecture.Configure administrative access and options.Back up and restore configuration and ScreenOS files.Configure a ScreenOS device in transparent, route, Network Address Translation (NAT), and IP version 6 (IPv6) modes.Discuss the applications of multiple virtual routers.Configure the Juniper Networks firewall to permit and deny traffic based on user defined policies.Configure advanced policy options.Identify and configure network designs for various types of network address translation.Configure policy-based and route-based VPN tunnels. This course is the first in the ScreenOS curriculum. It is a course that focuses on configuration of the ScreenOS firewall/virtual private network (VPN) products in a variety of situations, including basic administrative access, routing, firewall policies and policy options, address translation, and VPN implementations. The course combines both lecture and labs, with significant time allocated for hands-on experience. Students completing this course should be confident in their ability to configure Juniper Networks firewall/VPN products in a wide range of installations. Chapter 1: Course IntroductionChapter 2: ScreenOS Concepts, Terminology, and PlatformsChapter 3: Initial Connectivity Lab 1: Initial Configuration Chapter 4: Device Management Lab 2: Device Administration Chapter 5: Layer 3 Operations Lab 3: Layer 3 Operations Chapter 6: Basic Policy Configuration Lab 4: Basic Policy Configuration Chapter 7: Policy Options Lab 5: Policy Options Chapter 8: Address Translation Lab 6: Address Translation Chapter 9: VPN ConceptsChapter 10: Policy-Based VPNs Lab 7: Policy-Based VPNs Chapter 11: Route-Based VPNs Lab 8: Route-Based VPNs Chapter 12: IPv6 Lab 9: IPv6 Appendix A: Additional FeaturesAppendix B: Transparent Mode Lab 10: Transparent Mode (Optional) Additional course details: Nexus Humans Configuring Juniper Networks Firewall/IPSec VPN Products 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 Configuring Juniper Networks Firewall/IPSec VPN Products 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 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Describe the components and capabilities of the Carbon Black EDR server Identify the architecture and data flows for Carbon Black EDR communication Identify the architecture for a cluster configuration and Carbon Black EDR cluster communication Describe the Carbon Black EDR server data types and data locations Use the API to interact with the Carbon Black EDR server without using the UI Create custom threat feeds for use in the Carbon Black EDR server Perform the integration with a syslog server Use different server-side scripts for troubleshooting Troubleshoot sensor-side configurations and communication This course teaches you how to use the advanced features of the VMware Carbon Black© EDR? product. This usage includes gaining access to the Linux server for management and troubleshooting in addition to configuring integrations and using the API. This course provides an in-depth, technical understanding of the Carbon Black EDR product through comprehensive coursework and hands-on scenario-based labs. This class focuses exclusively on advanced technical topics related to the technical back-end configuration and maintenance Course Introduction Introductions and course logistics Course objectives Architecture Data flows and channels Sizing considerations Communication channels and ports Server Datastores SOLR database Storage configurations and data aging Partition states Postgres Modulestore EDR API CBAPI overview Viewing API calls in the browser Utilizing the API to access data Threat Intelligence Feeds Feed structure Report indicator types Custom threat feed creation and addition Syslog Integration SIEM support Configuration Troubleshooting Server-side scripts Server logs Sensor operations Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Carbon Black EDR Advanced Administrator 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 VMware Carbon Black EDR Advanced Administrator 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 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, security DevOps, and security engineers Overview In this course, you will learn to: Establish a landing zone with AWS Control Tower Configure AWS Organizations to create a multi-account environment Implement identity management using AWS Single Sign-On users and groups Federate access using AWS SSO Enforce policies using prepackaged guardrails Centralize logging using AWS CloudTrail and AWS Config Enable cross-account security audits using AWS Identity and Access Management (IAM) Define workflows for provisioning accounts using AWS Service Catalog and AWS Security Hub Security is foundational to AWS. Governance at scale is a new concept for automating cloud governance that can help companies retire manual processes in account management, budget enforcement, and security and compliance. By automating common challenges, companies can scale without inhibiting agility, speed, or innovation. In addition, they can provide decision makers with the visibility, control, and governance necessary to protect sensitive data and systems.In this course, you will learn how to facilitate developer speed and agility, and incorporate preventive and detective controls. By the end of this course, you will be able to apply governance best practices. Course Introduction Instructor introduction Learning objectives Course structure and objectives Course logistics and agenda Module 1: Governance at Scale Governance at scale focal points Business and Technical Challenges Module 2: Governance Automation Multi-account strategies, guidance, and architecture Environments for agility and governance at scale Governance with AWS Control Tower Use cases for governance at scale Module 3: Preventive Controls Enterprise environment challenges for developers AWS Service Catalog Resource creation Workflows for provisioning accounts Preventive cost and security governance Self-service with existing IT service management (ITSM) tools Module 4: Detective Controls Operations aspect of governance at scale Resource monitoring Configuration rules for auditing Operational insights Remediation Clean up accounts Module 5: Resources Explore additional resources for security governance at scale Additional course details: Nexus Humans AWS Security Governance at Scale 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 AWS Security Governance at Scale 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 This course is intended for Linux system administrators, virtualization administrators, and hybrid infrastructure engineers interested in deploying large-scale virtualization solutions and managing virtual servers in their datacenters, based on the Red Hat Virtualization open virtualization management platform. Overview As a result of completing this offering, you should be able to create and deploy Red Hat Virtualization and virtual servers. Using a single, full-service management interface, Red Hat Virtualization Manager, you will be able to configure, manage, and migrate systems within the virtualization environment. In this course you will develop the skills needed to deploy, administer, and operate virtual machines in your organization using Red Hat© Virtualization. Through numerous hands-on exercises, you will demonstrate the ability to deploy and configure the Red Hat Virtualization infrastructure and use it to provision and manage virtual machines. This offering also prepares you for the Red Hat Certified Specialist in Virtualization exam.This course is based on Red Hat Enterprise Virtualization 4.3 and Red Hat Enterprise Linux© 7.6 and 8, as well as Red Hat Hyperconverged Infrastructure for Virtualization 1.6.This course covers the same material as RH318, but includes the Red Hat Certified Specialist in Virtualization exam (EX318). Red Hat Virtualization overview Explain the purpose and architecture of Red Hat Virtualization. Install and configure Red Hat Virtualization Install a minimal Red Hat Virtualization environment and use it to create a virtual machine. Create and manage datacenters and clusters Organize hypervisors into groups using datacenters and clusters. Manage user accounts and roles Configure user accounts using a central directory service, then use roles to assign access to resources based on job responsibilities. Adding physical hosts Add additional Red Hat Virtualization hosts automatically, and move and remove hosts from datacenters as needed. Scale Red Hat Virtualization infrastructure Add Red Hat Virtualization hosts automatically, configure Red Hat Enterprise Linux hosts when appropriate, and move and remove hosts from data centers as needed. Manage Red Hat Virtualization networks Separate network traffic into multiple networks on one or more interfaces to improve the performance and security of Red Hat Virtualization. Manage Red Hat Virtualization storage Create and manage data and ISO storage domains. Deploy and manage virtual machines Operate virtual machines in the Red Hat Virtualization environment. Migrate virtual machines Migrate and control automatic migration of virtual machines. Manage virtual machine images Manage virtual machine snapshots and disk images. Automating virtual machine deployment Automate deployment of virtual machines by using templates and cloud-init. Back up and upgrade Red Hat Virtualization Back up, restore, and upgrade the software in a Red Hat Virtualization environment. Explore high-availability practices Explain procedures to improve the resilience and reliability of Red Hat Virtualization by removing single points of failure and implementing high-availability features. Perform comprehensive review Demonstrate skills learned in this course by installing and configuring Red Hat Virtualization; using the platform to create and manage virtual machines; and backing up and updating components of Red Hat Virtualization.

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?