BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN BEGIN:VEVENT UID:1037@x8ti.com DTSTART;TZID=Asia/Kuala_Lumpur:20250501T090000 DTEND;TZID=Asia/Kuala_Lumpur:20250514T010000 DTSTAMP:20241213T061103Z URL:https://x8ti.com/event/bigdata-hadoop-using-oracle-nosql-database-2/ SUMMARY:BigData Hadoop Using Oracle NoSQL Database DESCRIPTION:Introduction\nThis course by Xcelerate Training Institutes intr oduces Oracle NSQL Database\, explaining its capabilities\, benefits\, and suitability for storing large datasets. Participants will learn about NoS QL technology and understand when to use Oracle NoSQL instead of tradition al relational databases.\nLearning Objectives\nParticipants will learn to monitor and optimize Oracle NoSQL Database performance\, perform backup an d recovery\, create applications with APIs\, understand Big Data and NoSQL use cases\, describe key components and benefits of NoSQL Database\, inst all and configure the database.\nTraining Methodology\nThis training progr am will teach you how to use Hadoop\, a powerful framework for processing large datasets\, in conjunction with Oracle NoSQL Database\, a flexible an d scalable database designed for handling unstructured data. Through hands -on exercises and real-world examples\, you'll learn how to effectively st ore\, manage\, and analyze massive amounts of data using these technologie s. The curriculum will cover topics such as Hadoop architecture\, HDFS\, M apReduce\, Hive\, Pig\, and the integration of Oracle NoSQL Database into the Hadoop ecosystem. By the end of the training\, you'll have the skills and knowledge to successfully implement Big Data solutions using Hadoop an d Oracle NoSQL Database.\nBenefits for Your Organization\nOracle NoSQL Dat abase\, a scalable and high-performance database\, offers advantages for o rganizations leveraging significant BigData Hadoop. Its key benefits inclu de:\n\n Scalability: It seamlessly handles massive datasets and can be ea sily scaled horizontally to accommodate growing data volumes.\n Performan ce: It delivers exceptional performance\, enabling real-time analytics and rapid data processing.\n Flexibility: It supports a wide range of data m odels\, including key-value\, document\, and graph\, providing flexibility for various use cases.\n Integration: It integrates seamlessly with Hado op ecosystems\, allowing organizations to leverage existing investments an d expertise.\n Reliability: It ensures high availability and data durabil ity\, minimizing downtime and safeguarding critical information. By adopti ng Oracle NoSQL Database\, organizations can unlock the full potential of BigData Hadoop\, gain valuable insights from their data\, and drive innova tion and business success.\n\nBenefits for you \nOracle NoSQL Database off ers several advantages for BigData Hadoop environments. Its scalability an d performance\, coupled with its ability to handle unstructured and semi-s tructured data\, make it an ideal choice for large-scale data processing a nd analytics. Additionally\, Oracle NoSQL Database's integration with Hado op ecosystems simplifies data ingestion\, processing\, and analysis\, whil e its high availability and disaster recovery features ensure data reliabi lity and business continuity.\nTarget Audience\nThis course is designed fo r Application Developers\, Database Administrators\, and Java Developers.\ nCourse Outline\nBig Data and NoSQL Database Overview\nThis section provid es a foundation in Big Data concepts:\n\n Evolution of data management\n Introduces NoSQL databases\n Compares NoSQL and relational databases\n Discusses factors to consider when choosing NoSQL\n Overviews Oracle's Bi g Data solutions\n Including HDFS\n\nOracle NoSQL Database\nThis section delves into:\n\n Oracle NoSQL Database\n Explaining its key features\n Benefits\n Supported data types\n Operational mechanics\n Covers databa se components\n Data storage (partitions and key-value pairs)\, and intro duces KVLite.\n\nDesigning a Schema\nThis section focuses on schema design :\n\n Explaining key components\n Their identification\n Storage and de sign considerations\n Covers value components and their types\n\nConsiste ncy\nThis section explores consistency in the context of:\n\n Write and r ead operations\n Covers default consistency\n Application of consistency \n Predefined\n Time-based\n Version-based consistency\n\nDurability\n\ n Focuses on durability in write operations\n Covering default durabilit y\n Application of durability\n Synchronization-based\n Acknowledgment- based durability\n\nCredit Card Application and APIs Overview\n\n Provide s an overview of a credit card approval application\n Data analysis\n Sc hema design\n Key structure\n APIs\n\nAdministration Overview\n\n Cover s administrator tasks\n KV Store components\n Replication\n Sharking\n Partitioning\n Balancing\n Security\n Key performance metrics (latency \, throughput\, cache) and deployment steps\n\nPlanning the Installation\n \n Focuses on installation planning\n Including workload analysis\n Har dware resource identification\n Storage node installation\n Configuratio n analysis\n Record size estimation\n Workload estimation\n Throughput requirements\n Store configuration\n Cache size determination\n\nSetting up Oracle NoSQL Database Nodes\n\n Covers prerequisites\n Directory cre ation\n Software extraction\n Installation verification\n Configuration using the make boot configure utility\n\nConfiguring and Deploying the KV Store\n\n Introduces configuration tools\n Plans\, plan lifecycle\n Pl an review and tracking\n The Admin Console\n Data center creation\n Sto rage pool creation\n\nStore Parameters\n\n Covers KV Store parameters\n Viewing and modifying parameters using CLI and Admin Console\n Setting ad min\n Storage node\n Replication node parameters\n\nOptimizing KV Store Performance\n\n Discusses factors affecting performance\n JE Cache size\ n Java Heap size\n Key size optimization\n Garbage collection logging\n \nBackup and Recovery\n\n Covers backup processes\n Snapshots\n Recover y methods\n Troubleshooting\n Verification\n Monitoring\n Storage node replacement\n HA port range correction\n\nAccessing the KV Store\n\n Ex plains KV Store handles\n Creation using KV Store Factory and KV Store Co nfigure classes\n Provides an example\n\nCreating Key and Value Component s\n\n Covers record structure\n Creating major and minor key components\ n Creating keys and value components with examples\n\nLoading Data into a KV Store\n\n Covers the load process\n Creating load programs\n Writin g records using the put method\n Reviewing a sample load program\n Ident ifying record structure\n Running the load program\n\nRetrieving Data fro m a KV Store\n\n Covers retrieval methods (get\, multiGet)\n Key range\n Key depth\n\nManipulating Data in a KV Store\n\n Covers methods for upd ating and deleting records\n\nHandling Exceptions\n\n Explains Oracle NoS QL Database exceptions\n Including Request Timeout\n Request limit excep tions\n how to handle them\n\nConfiguring Consistency\n\n Covers viewing \n Setting default consistency\n Using predefined consistencies\n Overr iding default consistency\n Creating time-based\n version-based consiste ncy\n\nConfiguring Consistency and Durability\n\n Covers viewing default durability\n Setting synchronization-based durability\n Creating new dur ability policies\n Transactional operations\n Exception handling\n ATTACH;FMTTYPE=image/jpeg:https://x8ti.com/wp-content/uploads/2024/12/3.jp eg CATEGORIES:Information Technology LOCATION:Kuala Lumpur Training Courses\, Banyan Tree Kuala Lumpur\, Kuala L umpur\, Malaysia\, Malaysia X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Banyan Tree Kuala Lumpur\, Kuala Lumpur\, Malaysia\, Malaysia;X-APPLE-RADIUS=100;X-TITLE=Kuala Lumpur Training Courses:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:Asia/Kuala_Lumpur X-LIC-LOCATION:Asia/Kuala_Lumpur BEGIN:STANDARD DTSTART:20240501T090000 TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:+08 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