Oracle Exadata is a high-performance data warehousing platform that combines Oracle Database software with specialized hardware. It features an architecture that integrates database servers, Exadata storage servers connected via InfiniBand networking, and a storage grid. Key technologies like Smart Scans, storage indexes, and flash cache optimize data storage, retrieval, and processing to deliver industry-leading performance for analytics workloads. Oracle Exadata also provides hybrid deployment options and seamlessly integrates with Oracle Cloud services.
Oracle Systems Overview
Engineered systems strategy and overview about exadata, exalitics, superCluster, Exalogic, Oracle virtual appliance, ZFS appliance
This document provides an overview and strategy for Oracle systems. It outlines challenges customers face with increasing costs, resource constraints, time to value, and outdated infrastructure. It then summarizes Oracle's engineered systems approach which provides extreme performance, low risk deployment, and breakthrough efficiency through fully integrated hardware and software solutions. The document reviews several Oracle engineered systems like Exadata, Exalogic, Exalytics, and Oracle servers that are designed to work together.
A5 oracle exadata-the game changer for online transaction processing data w...Dr. Wilfred Lin (Ph.D.)
The document discusses Oracle Exadata and how it can transform online transaction processing, data warehousing, and database consolidation. It describes Exadata as a scale-out platform that integrates servers, storage, and networking optimized for Oracle Database. Exadata delivers extreme performance through special software that brings database intelligence to storage, flash, and networking. It is suitable for all database workloads including OLTP, data warehousing, and database clouds.
The document summarizes Oracle's SuperCluster engineered system. It provides consolidated application and database deployment with in-memory performance. Key features include Exadata intelligent storage, Oracle M6 and T5 servers, a high-speed InfiniBand network, and Oracle VM virtualization. The SuperCluster enables database as a service with automated provisioning and security for multi-tenant deployment across industries.
Oracle RAC provides high availability, scalability and performance for databases across clustered servers with no application changes required. It uses a shared cache architecture to overcome limitations of traditional shared-nothing and shared-disk approaches. iONE provides Oracle RAC implementation and maintenance services to deliver continuous uptime for database applications through server pool management, datacenter HA, and scaling to 100 nodes.
Oracle Database In-Memory will be generally available in July 2014 and can be used with all hardware platforms on which Oracle Database 12c is supported.
Accelerate database performance by orders of magnitude for analytics, data warehousing, and reporting while also speeding up online transaction processing (OLTP).
Allow any existing Oracle Database-compatible application to automatically and transparently take advantage of columnar in-memory processing, without additional programming or application changes.
The Oracle Exadata Database Machine X2-8 is a complete optimized package of servers, storage, and software that delivers extreme performance for database applications. It has 160 CPU cores and 4 TB of memory for database processing, as well as 5.3 TB of Exadata Smart Flash Cache. The Exadata Database Machine is scalable, with the ability to connect multiple racks for increased performance, capacity, and workload consolidation. It provides high availability features like redundancy and hot-swappable components.
Oracle Systems Overview
Engineered systems strategy and overview about exadata, exalitics, superCluster, Exalogic, Oracle virtual appliance, ZFS appliance
This document provides an overview and strategy for Oracle systems. It outlines challenges customers face with increasing costs, resource constraints, time to value, and outdated infrastructure. It then summarizes Oracle's engineered systems approach which provides extreme performance, low risk deployment, and breakthrough efficiency through fully integrated hardware and software solutions. The document reviews several Oracle engineered systems like Exadata, Exalogic, Exalytics, and Oracle servers that are designed to work together.
A5 oracle exadata-the game changer for online transaction processing data w...Dr. Wilfred Lin (Ph.D.)
The document discusses Oracle Exadata and how it can transform online transaction processing, data warehousing, and database consolidation. It describes Exadata as a scale-out platform that integrates servers, storage, and networking optimized for Oracle Database. Exadata delivers extreme performance through special software that brings database intelligence to storage, flash, and networking. It is suitable for all database workloads including OLTP, data warehousing, and database clouds.
The document summarizes Oracle's SuperCluster engineered system. It provides consolidated application and database deployment with in-memory performance. Key features include Exadata intelligent storage, Oracle M6 and T5 servers, a high-speed InfiniBand network, and Oracle VM virtualization. The SuperCluster enables database as a service with automated provisioning and security for multi-tenant deployment across industries.
Oracle RAC provides high availability, scalability and performance for databases across clustered servers with no application changes required. It uses a shared cache architecture to overcome limitations of traditional shared-nothing and shared-disk approaches. iONE provides Oracle RAC implementation and maintenance services to deliver continuous uptime for database applications through server pool management, datacenter HA, and scaling to 100 nodes.
Oracle Database In-Memory will be generally available in July 2014 and can be used with all hardware platforms on which Oracle Database 12c is supported.
Accelerate database performance by orders of magnitude for analytics, data warehousing, and reporting while also speeding up online transaction processing (OLTP).
Allow any existing Oracle Database-compatible application to automatically and transparently take advantage of columnar in-memory processing, without additional programming or application changes.
The Oracle Exadata Database Machine X2-8 is a complete optimized package of servers, storage, and software that delivers extreme performance for database applications. It has 160 CPU cores and 4 TB of memory for database processing, as well as 5.3 TB of Exadata Smart Flash Cache. The Exadata Database Machine is scalable, with the ability to connect multiple racks for increased performance, capacity, and workload consolidation. It provides high availability features like redundancy and hot-swappable components.
The Oracle Exadata Database Machine X5-2 is a pre-configured system optimized for running Oracle Database. It features scale-out database and storage servers, PCIe flash storage, and a high-speed InfiniBand network. Unique software algorithms implement database intelligence in storage and networking to deliver higher performance, capacity, and availability compared to other platforms. The Exadata Database Machine can scale from small to extremely large configurations by connecting multiple racks.
This document contains information about a session on monitoring Exadata and OEM 13c conducted by Alfredo Krieg from Viscosity. It discusses the architecture and plugins of OEM 13c, discovering and setting up Exadata targets, performance metrics for Storage Cell Servers and Exadata features like SMART IO and flash cache. It also covers tools like cellcli, AWR Exadata metrics and SQL monitoring.
Quontra Solutions provides Oracle-12c DBA Online Training by excellent experienced IT professionals who has more than 7 Years of real time experience. We offer the best quality and affordable training, so you get trained from where you are, from our experienced instructors, remotely using Webex / Gotomeeting.
The document discusses Oracle's database cloud deployment options. It describes Oracle Autonomous Database which fully automates database management. It can be deployed in Oracle public clouds, dedicated regions, or on-premises. The document also discusses Exadata Cloud services which provide high-performance databases in Oracle data centers or customer data centers. A variety of deployment options are presented that balance control, costs and support for hybrid cloud strategies.
Oracle Cloud Infrastructure offers tools and architecture that help enterprises seamlessly move from on premise to the cloud, leveraging improved automation and built-in security to mitigate threats, ultimately supporting superior migration and economics.
PT. Mitra Integrasi Informatika - Oracle Systemwortelmas
PT. Mitra Integrasi Informatika - Platinum Oracle Parner.
Oracle System Explanation about Hardware, Server, Storage, Network, Operating System and Virtualization Software.
Information about Oracle System is Oracle Corporate Copyright.
This presentation provides a clear overview of how Oracle Database In-Memory optimizes both analytics and mixed workloads, delivering outstanding performance while supporting real-time analytics, business intelligence, and reporting. It provides details on what you can expect from Database In-Memory in both Oracle Database 12.1.0.2 and 12.2.
Oracle offers several database cloud services including Oracle Database Cloud Service, Oracle Exadata Cloud Service, Oracle Database Backup Service, and Oracle Database Schema Service. These services provide automated infrastructure, database administration, and tools for application development, testing database applications, testing database upgrades, disaster recovery, and a hybrid cloud environment with the same database software both on-premises and in the cloud.
This document summarizes Oracle's strategy and product offerings. Oracle's strategy is to provide products that are complete, open, integrated and best-in-class. It highlights several of Oracle's key products, including the Oracle Database, Oracle Fusion Middleware, Oracle Exadata, Oracle Exalogic, Oracle Applications and Oracle server and storage systems. It notes that Oracle's products hold leading positions in their categories and are optimized to work together for better performance and lower costs.
C6 oracles storage_strategy_from_databases_to_engineered_systems_to_cloudDr. Wilfred Lin (Ph.D.)
The document discusses Oracle's storage strategy of integrating storage with its other products like databases, engineered systems, and cloud offerings. It outlines how storage is moving from standalone products to being engineered as part of complete systems to improve functionality, performance and reduce costs. Oracle storage products are designed to work closely with databases, engineered systems and public cloud to simplify management and move data seamlessly between on-premises and cloud environments. Examples are given of customers benefiting from faster database provisioning, data protection and time to market using Oracle's engineered storage solutions.
The document discusses Oracle's Exadata product, which integrates Oracle database software with Oracle hardware. Exadata provides a fully integrated system that is engineered, certified, deployed and supported together. It offers breakthrough time to market advantages by reducing the number of components customers need to buy, deploy and maintain from hundreds to a single machine. Exadata uses a scale-out architecture with intelligent storage servers and flash to deliver extreme performance for database workloads like OLTP, data warehousing and database clouds.
The document discusses the Oracle Exalogic X3-02 Elastic Cloud System. It provides an agenda that covers the elastic cloud, use of elastic cloud technology in enterprises, an overview of the Exalogic system, its architecture, integration with data centers and Exadata, advantages and disadvantages. The Exalogic system consists of software, firmware and hardware engineered to work together to provide reliability, availability, scalability and performance for deploying Oracle business applications and reducing costs. The system architecture incorporates Exabus communication, compute nodes, storage appliances and virtualization.
The document introduces Oracle's Enterprise Cloud Infrastructure solution using SPARC T5 servers. It discusses Oracle's cloud strategy, challenges in building private clouds, and how Oracle addresses these challenges through optimized solutions like the Oracle Virtual Compute Appliance. It provides an overview of the Oracle Optimized Solution for Enterprise Cloud Infrastructure, including SPARC T5 servers, Oracle Solaris, Oracle VM Server for SPARC, and Sun ZFS Storage Appliance. Example configurations and best practices are also presented.
OpenWorld 2013 was a large conference with 60,000 attendees from 145 countries. Oracle announced several new products including an in-memory option for the Oracle Database that provides 100x faster queries and 2x faster transactions processing without requiring any application changes. They also announced a new Backup, Logging, Recovery Appliance designed specifically for databases. For systems, Oracle announced the M6-32 Big Memory Machine with up to 32TB of memory, updated Exalytics appliances, and new Exadata and ZS storage systems. For cloud services, Oracle announced expanded infrastructure, platform and application services available through its public cloud.
This document provides an overview of Oracle's engineered systems platform and product family. It introduces several Oracle engineered systems including Exadata, Exalogic, Oracle Database Appliance, SPARC SuperCluster, and Exalytics. These systems are designed to work together and deliver business value through expedited time to value, easier management, lower costs, and extreme performance. Each system is highlighted with its key benefits and unique features.
The document is a presentation on Oracle NoSQL Database that discusses its use cases, Oracle's NoSQL and big data strategy, technical features of Oracle NoSQL Database, and customer references. The presentation covers how Oracle NoSQL Database can be used for real-time event processing, sensor data acquisition, fraud detection, recommendations, and globally distributed databases. It also discusses Oracle's approach to integrating NoSQL, Hadoop, and relational databases. Customer references are provided for Airbus's use of Oracle NoSQL Database for flight test sensor data storage and analysis.
Analytics and Lakehouse Integration Options for Oracle ApplicationsRay Février
The document discusses various options for extracting data from Oracle Fusion and Oracle EPM Cloud applications for analytics purposes. It outlines using the Business Intelligence Cloud Connector (BICC) to extract data to object storage, which can then be loaded into Oracle Analytics Cloud (OAC) or Autonomous Data Warehouse (ADW) for analysis. For EPM Cloud, it notes using the EPM Automate REST API wrapper or Oracle Data Integrator Marketplace connector. The document provides an overview of tools like OAC, ADW, ODI, and OCI Data Integration that can help transform and model the data for analytics and machine learning.
This document outlines Oracle's product strategy and direction. It discusses Oracle's focus on delivering complete, open, integrated solutions including the Oracle Database, Fusion Middleware, business applications, and engineered systems. Key points include optimizing products for cloud computing, providing unique value through integration, and leveraging engineered systems to deliver breakthrough innovations combining hardware and software. The document is intended for informational purposes and does not represent a commitment by Oracle.
The Oracle Exadata Database Machine X5-2 is a pre-configured system optimized for running Oracle Database. It features scale-out database and storage servers, PCIe flash storage, and a high-speed InfiniBand network. Unique software algorithms implement database intelligence in storage and networking to deliver higher performance, capacity, and availability compared to other platforms. The Exadata Database Machine can scale from small to extremely large configurations by connecting multiple racks.
This document contains information about a session on monitoring Exadata and OEM 13c conducted by Alfredo Krieg from Viscosity. It discusses the architecture and plugins of OEM 13c, discovering and setting up Exadata targets, performance metrics for Storage Cell Servers and Exadata features like SMART IO and flash cache. It also covers tools like cellcli, AWR Exadata metrics and SQL monitoring.
Quontra Solutions provides Oracle-12c DBA Online Training by excellent experienced IT professionals who has more than 7 Years of real time experience. We offer the best quality and affordable training, so you get trained from where you are, from our experienced instructors, remotely using Webex / Gotomeeting.
The document discusses Oracle's database cloud deployment options. It describes Oracle Autonomous Database which fully automates database management. It can be deployed in Oracle public clouds, dedicated regions, or on-premises. The document also discusses Exadata Cloud services which provide high-performance databases in Oracle data centers or customer data centers. A variety of deployment options are presented that balance control, costs and support for hybrid cloud strategies.
Oracle Cloud Infrastructure offers tools and architecture that help enterprises seamlessly move from on premise to the cloud, leveraging improved automation and built-in security to mitigate threats, ultimately supporting superior migration and economics.
PT. Mitra Integrasi Informatika - Oracle Systemwortelmas
PT. Mitra Integrasi Informatika - Platinum Oracle Parner.
Oracle System Explanation about Hardware, Server, Storage, Network, Operating System and Virtualization Software.
Information about Oracle System is Oracle Corporate Copyright.
This presentation provides a clear overview of how Oracle Database In-Memory optimizes both analytics and mixed workloads, delivering outstanding performance while supporting real-time analytics, business intelligence, and reporting. It provides details on what you can expect from Database In-Memory in both Oracle Database 12.1.0.2 and 12.2.
Oracle offers several database cloud services including Oracle Database Cloud Service, Oracle Exadata Cloud Service, Oracle Database Backup Service, and Oracle Database Schema Service. These services provide automated infrastructure, database administration, and tools for application development, testing database applications, testing database upgrades, disaster recovery, and a hybrid cloud environment with the same database software both on-premises and in the cloud.
This document summarizes Oracle's strategy and product offerings. Oracle's strategy is to provide products that are complete, open, integrated and best-in-class. It highlights several of Oracle's key products, including the Oracle Database, Oracle Fusion Middleware, Oracle Exadata, Oracle Exalogic, Oracle Applications and Oracle server and storage systems. It notes that Oracle's products hold leading positions in their categories and are optimized to work together for better performance and lower costs.
C6 oracles storage_strategy_from_databases_to_engineered_systems_to_cloudDr. Wilfred Lin (Ph.D.)
The document discusses Oracle's storage strategy of integrating storage with its other products like databases, engineered systems, and cloud offerings. It outlines how storage is moving from standalone products to being engineered as part of complete systems to improve functionality, performance and reduce costs. Oracle storage products are designed to work closely with databases, engineered systems and public cloud to simplify management and move data seamlessly between on-premises and cloud environments. Examples are given of customers benefiting from faster database provisioning, data protection and time to market using Oracle's engineered storage solutions.
The document discusses Oracle's Exadata product, which integrates Oracle database software with Oracle hardware. Exadata provides a fully integrated system that is engineered, certified, deployed and supported together. It offers breakthrough time to market advantages by reducing the number of components customers need to buy, deploy and maintain from hundreds to a single machine. Exadata uses a scale-out architecture with intelligent storage servers and flash to deliver extreme performance for database workloads like OLTP, data warehousing and database clouds.
The document discusses the Oracle Exalogic X3-02 Elastic Cloud System. It provides an agenda that covers the elastic cloud, use of elastic cloud technology in enterprises, an overview of the Exalogic system, its architecture, integration with data centers and Exadata, advantages and disadvantages. The Exalogic system consists of software, firmware and hardware engineered to work together to provide reliability, availability, scalability and performance for deploying Oracle business applications and reducing costs. The system architecture incorporates Exabus communication, compute nodes, storage appliances and virtualization.
The document introduces Oracle's Enterprise Cloud Infrastructure solution using SPARC T5 servers. It discusses Oracle's cloud strategy, challenges in building private clouds, and how Oracle addresses these challenges through optimized solutions like the Oracle Virtual Compute Appliance. It provides an overview of the Oracle Optimized Solution for Enterprise Cloud Infrastructure, including SPARC T5 servers, Oracle Solaris, Oracle VM Server for SPARC, and Sun ZFS Storage Appliance. Example configurations and best practices are also presented.
OpenWorld 2013 was a large conference with 60,000 attendees from 145 countries. Oracle announced several new products including an in-memory option for the Oracle Database that provides 100x faster queries and 2x faster transactions processing without requiring any application changes. They also announced a new Backup, Logging, Recovery Appliance designed specifically for databases. For systems, Oracle announced the M6-32 Big Memory Machine with up to 32TB of memory, updated Exalytics appliances, and new Exadata and ZS storage systems. For cloud services, Oracle announced expanded infrastructure, platform and application services available through its public cloud.
This document provides an overview of Oracle's engineered systems platform and product family. It introduces several Oracle engineered systems including Exadata, Exalogic, Oracle Database Appliance, SPARC SuperCluster, and Exalytics. These systems are designed to work together and deliver business value through expedited time to value, easier management, lower costs, and extreme performance. Each system is highlighted with its key benefits and unique features.
The document is a presentation on Oracle NoSQL Database that discusses its use cases, Oracle's NoSQL and big data strategy, technical features of Oracle NoSQL Database, and customer references. The presentation covers how Oracle NoSQL Database can be used for real-time event processing, sensor data acquisition, fraud detection, recommendations, and globally distributed databases. It also discusses Oracle's approach to integrating NoSQL, Hadoop, and relational databases. Customer references are provided for Airbus's use of Oracle NoSQL Database for flight test sensor data storage and analysis.
Analytics and Lakehouse Integration Options for Oracle ApplicationsRay Février
The document discusses various options for extracting data from Oracle Fusion and Oracle EPM Cloud applications for analytics purposes. It outlines using the Business Intelligence Cloud Connector (BICC) to extract data to object storage, which can then be loaded into Oracle Analytics Cloud (OAC) or Autonomous Data Warehouse (ADW) for analysis. For EPM Cloud, it notes using the EPM Automate REST API wrapper or Oracle Data Integrator Marketplace connector. The document provides an overview of tools like OAC, ADW, ODI, and OCI Data Integration that can help transform and model the data for analytics and machine learning.
This document outlines Oracle's product strategy and direction. It discusses Oracle's focus on delivering complete, open, integrated solutions including the Oracle Database, Fusion Middleware, business applications, and engineered systems. Key points include optimizing products for cloud computing, providing unique value through integration, and leveraging engineered systems to deliver breakthrough innovations combining hardware and software. The document is intended for informational purposes and does not represent a commitment by Oracle.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
2. INTRODUCTION TO ORACLE
EXADATA
• Oracle Exadata, known as the "Database Machine," is a high-performance data warehousing
platform and database appliance developed by Oracle Corporation.
• It represents a cutting-edge solution designed to address the growing demands of modern data
analytics and business intelligence.
• Oracle Exadata combines the power of Oracle Database software with specialized hardware
components, creating an integrated, optimized, and scalable platform.
• This platform is engineered for high-performance data processing, data storage, and analytics,
making it a top choice for organizations dealing with vast amounts of data.
• Oracle Exadata delivers the promise of speed, reliability, and efficiency, enabling enterprises to
extract actionable insights from their data with unprecedented ease.
• In this presentation, we'll explore the architecture, key technologies, components, cloud
capabilities, data transformation features, security options, competitors, pricing, and the
significance of Oracle Exadata in the data warehousing landscape.
3. OVERVIEW OF PRESENTATION
• We will begin by providing an introduction to Oracle Exadata, offering insights into what this powerful data warehousing platform
entails.
• Next, we'll delve into the architecture and key technologies used in Oracle Exadata, demonstrating how its design and infrastructure
enable high-performance data processing.
• We will explore the key components that make up Oracle Exadata, breaking down the roles and functions of each part within the
system.
• Oracle Exadata's cloud and hybrid capabilities will be discussed, showcasing how this platform seamlessly integrates with cloud
environments and offers flexibility in deployment.
• You'll gain an understanding of the ELT/ETL (Extract, Load, Transform/Extract, Transform, Load) processes and data transformation
capabilities that are vital for data integration and analytics.
• Security is a paramount concern, and we'll review the security options available with Oracle Exadata, ensuring your data remains
protected.
• In the competitive landscape, we'll identify key competitors in the data warehousing platform space and highlight the advantages that
set Oracle Exadata apart.
• We'll then break down the pricing structure, examining the different licensing and cost models to help you make an informed
decision.
• In conclusion, we'll summarize the key takeaways and emphasize the significance of Oracle Exadata in the world of data
warehousing.
4. HIGH-LEVEL ARCHITECTURE OF
ORACLE EXADATA
• At its core, Oracle Exadata is an engineered system designed for maximum performance, scalability, and reliability for data warehousing and analytics.
• The architecture of Oracle Exadata combines Oracle Database software with specialized hardware components, creating a tightly integrated, purpose-built
system.
• The key components of the architecture include:
• Database Servers: These are standard database servers where the Oracle Database software runs, handling SQL processing and application
interactions.
• Exadata Storage Servers: Specialized storage servers with high-performance disks, flash storage, and intelligent caching. They store the data and
accelerate data retrieval.
• InfiniBand Networking: High-speed, low-latency InfiniBand network connects the database servers and Exadata storage servers, facilitating rapid
data transfer and communication.
• Storage Grid: Exadata storage servers are organized into a storage grid, providing a scalable and redundant storage platform.
• Smart Scans: Oracle Exadata leverages Smart Scans, a feature that offloads data processing to the storage servers, reducing data movement and
processing time.
• Storage Indexes: These indexes are created at the storage layer to accelerate data retrieval and improve query performance.
• I/O Resource Management: Exadata's IORM (I/O Resource Management) ensures that critical workloads receive the necessary resources for
optimal performance.
• The high-level architecture is designed to eliminate data bottlenecks, accelerate query performance, and provide a platform that scales seamlessly as data
volumes grow.
• This architecture enables Oracle Exadata to deliver industry-leading performance for data warehousing and analytics, making it an ideal choice for
organizations with demanding data processing requirements.
• In the subsequent sections, we will delve deeper into the key components, their functions, and how they contribute to the exceptional performance and
5. KEY TECHNOLOGIES OF ORACLE
EXADATA
• Oracle Database: At the heart of Oracle Exadata is the world-renowned Oracle Database software. It provides robust data management, SQL processing,
and analytics capabilities. The database engine powers data storage, retrieval, and processing, enabling complex queries and analysis.
• Exadata Storage Servers: These specialized storage servers are a fundamental component of the platform. They are equipped with high-performance
disks, solid-state drives (SSDs), and intelligent caching mechanisms. Exadata storage servers significantly enhance data retrieval speed by offloading
query processing tasks to the storage layer.
• InfiniBand Networking: The Exadata architecture relies on high-speed InfiniBand networking to connect database servers and Exadata storage servers.
InfiniBand offers low-latency, high-bandwidth communication, ensuring that data is transferred quickly and efficiently between servers and storage.
• Smart Scans: A key technology that sets Oracle Exadata apart is Smart Scans. This feature offloads query processing to the storage servers, reducing the
data that needs to be transferred to the database servers. Smart Scans accelerate query performance by minimizing I/O and data processing overhead.
• Storage Indexes: Oracle Exadata employs storage indexes, which are created at the storage layer. These indexes help accelerate data retrieval by
identifying data ranges that satisfy query conditions, reducing the amount of data that needs to be read from storage.
• I/O Resource Management (IORM): IORM is a critical technology that ensures that different workloads receive the necessary I/O resources to meet their
performance requirements. It prevents one workload from dominating the I/O resources and impacting others.
• Columnar Storage: Oracle Exadata employs columnar storage for data warehousing workloads. This storage format is optimized for analytical queries and
aggregates, providing efficient compression and data retrieval.
• Flash Cache: Exadata storage servers include flash cache, which enhances the platform's performance by caching frequently accessed data, reducing I/O
latency.
• Oracle RAC (Real Application Clusters): For high availability and scalability, Oracle Exadata can be configured with Oracle RAC, allowing databases to
span multiple servers and providing redundancy and fault tolerance.
• Oracle Cloud Integration: Oracle Exadata is compatible with Oracle Cloud services, facilitating seamless integration between on-premises and cloud
deployments.
6. ROLES AND FUNCTIONS
• Database Servers: Handle SQL processing and application interactions.
• Exadata Storage Servers: Optimize data storage and retrieval with high-speed disks and SSDs.
Execute Smart Scans to offload data processing tasks.
• InfiniBand Networking: Facilitate low-latency, high-bandwidth communication between servers and
storage.
• Storage Grid: Provides scalable and redundant storage, allowing easy expansion of storage capacity.
• Smart Scans: Accelerate query performance by offloading data processing to storage servers.
• Storage Indexes: Speed up data retrieval by identifying relevant data ranges and reducing data reads.
• I/O Resource Management (IORM): Ensures fair allocation of I/O resources among workloads.
• Columnar Storage: Optimized for data warehousing workloads with efficient compression.
• Flash Cache: Reduces I/O latency by caching frequently accessed data, improving query performance.
• Oracle RAC: Supports high availability and scalability by spanning databases across servers.
• Oracle Cloud Integration: Facilitates seamless integration with Oracle Cloud services, enabling
7. CLOUD / HYBRID CAPABILITIES
• Oracle Cloud Integration: Oracle Exadata seamlessly integrates with Oracle Cloud, extending data warehousing capabilities into
the cloud.
• Hybrid Deployment: Organizations can choose hybrid deployment options, allowing the coexistence of on-premises and cloud
resources.
• Scalability: Exadata's hybrid deployment enables dynamic scaling, adapting to changing data needs with cloud resources.
• Data Consistency: Maintain data consistency across on-premises and cloud environments for a seamless user experience.
• Flexibility: Choose where to run workloads and store data, optimizing resource usage and cost-efficiency.
• Data Backup and Recovery: Benefit from cloud-based backup and recovery services, enhancing data protection and disaster
recovery capabilities.
• Data Migration: Easily move data between on-premises and cloud environments for efficient data management and transition.
• Resource Optimization: Leverage cloud resources for peak workloads while conserving on-premises resources for routine tasks.
• Security: Cloud and on-premises environments benefit from Oracle's comprehensive security features, ensuring data remains
protected.
• Operational Efficiency: Hybrid deployment allows organizations to offload operational tasks to cloud-managed services, reducing
IT overhead.
• Global Reach: Oracle Cloud's global network of data centers provides data residency compliance and low-latency access
worldwide.
8. ELT/ETL AND DATA
TRANSFORMATION
• ETL Process (Extract, Transform, Load):
• In traditional ETL, data is first Extracted from source systems.
• It is then Transformed to meet specific business requirements, which may include data cleansing, aggregation, or formatting.
• Finally, the Transformed data is Loaded into a data warehouse for analysis and reporting.
• ETL processes are typically executed on dedicated ETL servers.
• ELT Process (Extract, Load, Transform):
• In ELT, data is first Extracted from source systems and Loaded into a target storage system.
• The Transformation phase occurs after loading, utilizing the processing power of the target system.
• Oracle Exadata's architecture favors the ELT approach, as it leverages the power of Exadata's storage servers for data processing.
• Oracle Exadata for Data Transformations and Integration:
• Oracle Exadata's Exadata Storage Servers perform Smart Scans to offload data processing, significantly accelerating data transformations.
• Transformations are performed directly on the storage layer, reducing the need to transfer large volumes of data to database servers for processing.
• Exadata storage servers can handle a wide range of data transformations, including joins, filtering, and aggregations, improving query performance.
• The combination of ELT and Exadata's hardware-accelerated processing results in faster data integration and analytics.
• Data can be ingested, transformed, and made available for analysis more rapidly, ensuring timely insights for decision-making.
• Benefits of ELT with Oracle Exadata:
• Improved performance due to storage-level data processing.
• Reduced data transfer and network overhead.
• Scalability for handling complex data transformations and large datasets.
• Enhanced data integration, ensuring that businesses can make data-driven decisions with ease.
9. SECURITY OPTIONS
• Data Encryption:
• Oracle Exadata offers robust data encryption to protect sensitive information.
• Data at rest can be encrypted using industry-standard encryption algorithms.
• Data in transit is secured through encrypted communication channels.
• Encryption ensures that even if physical hardware is compromised, data remains confidential and protected.
• User Authentication:
• Oracle Exadata provides advanced user authentication mechanisms.
• It supports integration with enterprise identity management systems.
• Users are required to authenticate using strong authentication protocols, such as multi-factor authentication (MFA).
• Role-based access control (RBAC) ensures that users have appropriate privileges, limiting unauthorized access.
• Auditing Capabilities:
• Oracle Exadata offers extensive auditing capabilities for monitoring and compliance.
• It allows the tracking of user activities, data access, and system changes.
• Auditing trails can be customized to capture specific events and actions.
• Audit data can be stored securely to ensure accountability and traceability.
10. •Compliance and Security Standards:
• Oracle Exadata aligns with industry security standards and regulations.
• It supports compliance with data protection and privacy laws, including GDPR, HIPAA, and
more.
• Regular security patches and updates help maintain a secure environment.
•Advanced Threat Detection:
• Oracle's security solutions include advanced threat detection capabilities.
• It leverages machine learning and behavioral analytics to identify and mitigate security
threats.
• Anomaly detection helps in the early identification of potential security breaches.
•Data Masking and Redaction:
• Oracle Exadata provides data masking and redaction features.
• Sensitive data can be masked or redacted to prevent unauthorized access to sensitive
information, ensuring privacy and compliance.
•Security Monitoring and Reporting:
• Security events and incidents can be monitored in real-time.
• Reporting tools provide insights into the security posture of the system.
• Security administrators can take proactive measures to address potential risks.
•Data Integrity:
• Oracle Exadata ensures data integrity by employing checksums and validation
mechanisms.
11. KEY COMPETITORS
• Major Competitors in Data Warehousing Space:
1. Amazon Redshift:
1. Offers cloud-based data warehousing with scalability.
2. Competes with Oracle Exadata by focusing on ease of use, cost-effectiveness, and integration with AWS services.
2. Snowflake:
1. A cloud-based data warehousing platform known for its flexibility and scalability.
2. Competes by offering a simplified architecture and a pay-as-you-go pricing model.
3. Microsoft Azure Synapse Analytics (formerly SQL Data Warehouse):
1. Provides a cloud-based solution with integration into the Azure ecosystem.
2. Competes with Oracle Exadata by offering powerful analytics and seamless integration with Microsoft tools.
4. Google BigQuery:
1. A serverless, cloud-based data warehouse with a focus on analytics.
2. Competes by offering scalability and ease of use for big data analytics.
5. Teradata:
1. Known for its data warehousing solutions and analytics platforms.
2. Competes with Oracle Exadata by offering extensive data analytics capabilities.
12. HOW ORACLE EXADATA COMPARES
AND DIFFERENTIATES:
• Performance and Scalability:
• Oracle Exadata is renowned for its high performance, especially for complex analytics workloads.
• It differentiates by delivering exceptional query performance and scalability, making it suitable for large enterprises with high data demands.
• Hybrid Deployment:
• Exadata allows hybrid deployments, a unique feature that enables organizations to balance on-premises and cloud resources.
• This flexibility differentiates it by accommodating various deployment scenarios.
• Integration with Oracle Ecosystem:
• Oracle Exadata seamlessly integrates with the broader Oracle ecosystem, which includes applications, databases, and cloud services.
• This integration streamlines data management and differentiates it for organizations heavily invested in Oracle technologies.
• Data Transformation and ELT:
• Oracle Exadata's architecture favors ELT processes, leveraging storage servers for data transformation and processing.
• It differentiates by reducing data transfer and accelerating data transformations.
• Security and Compliance:
• Oracle Exadata provides robust security features, data encryption, and auditing capabilities.
• Its alignment with compliance standards and advanced threat detection differentiates it in terms of data protection.
• Data Masking and Redaction:
• Exadata offers data masking and redaction features to protect sensitive data.
• This is a valuable differentiation for organizations focused on data privacy and regulatory compliance.
• Oracle Cloud Integration:
• Oracle Exadata can integrate seamlessly with Oracle Cloud, facilitating hybrid cloud and on-premises deployments.
• This integration provides flexibility and differentiates it in terms of cloud adoption.
• Global Reach:
• With Oracle Cloud's global data centers, Exadata offers a worldwide reach, ensuring low-latency access and data residency compliance.
• This global presence differentiates it for organizations with international operations.
13. PRICING STRUCTURE
1.Perpetual Licensing:
1. Organizations can purchase perpetual licenses for Oracle Exadata, which provide a one-time payment
for software and hardware.
2. This option is suitable for those who prefer a one-time, upfront investment.
2.Subscription Licensing:
1. Oracle offers subscription-based licensing, allowing customers to pay on an ongoing basis.
2. Subscription models provide flexibility, with options for monthly, annual, or multi-year commitments.
3.Pay-as-You-Go (Cloud):
1. For Oracle Exadata Cloud Service, a pay-as-you-go model is available, where customers are billed
based on their actual usage.
2. This model is cost-effective for businesses with varying workloads.
4.Oracle Cloud Universal Credits:
1. Oracle Cloud Universal Credits provide a flexible pricing structure for cloud services, including Exadata.
2. Customers purchase credits, which can be used for various Oracle Cloud services, allowing cost control
and adaptability.
14. LICENSING OPTIONS:
1. Processor Licensing:
1. Licensing based on the number of processor cores in the Exadata system.
2. Suitable for organizations with a clear understanding of their processor requirements.
2. User Licensing:
1. User-based licensing, where organizations pay for the number of users accessing the Exadata system.
2. Useful for applications with a defined user base, such as business intelligence tools.
3. Named User Plus Licensing:
1. A variation of user licensing, which is based on named users.
2. Offers flexibility for organizations with changing user counts.
4. Enterprise Licensing:
1. A comprehensive licensing option that covers unlimited users and processors within the enterprise.
2. Suitable for large organizations with extensive data warehousing needs.
5. Cloud Bring Your Own License (BYOL):
1. For Exadata Cloud Service, organizations can bring their existing licenses, reducing costs when moving to the cloud.
6. Managed Service Provider (MSP) Licensing:
1. Tailored licensing for Managed Service Providers offering Exadata as a service to their clients.
2. Ensures flexibility and scalability in multi-tenant environments.
15. CONCLUSION
• Advantages of Oracle Exadata:
1. Exceptional Performance: Oracle Exadata is renowned for its high-performance capabilities, making it ideal
for complex data warehousing and analytics workloads.
2. Scalability: The platform offers seamless scalability to accommodate growing data volumes and evolving
business needs.
3. Hybrid Deployment: Oracle Exadata provides the flexibility of hybrid deployments, allowing organizations to
balance on-premises and cloud resources.
4. Integration: It seamlessly integrates with the broader Oracle ecosystem, streamlining data management for
Oracle users.
5. Data Transformation Efficiency: Oracle Exadata excels in data transformation, especially with its ELT
approach and storage-level processing.
6. Security Features: The platform includes robust security features, encryption, and auditing capabilities to
protect sensitive data.
7. Global Reach: With Oracle Cloud, Exadata ensures low-latency access and data residency compliance on a
global scale.
16. THE IMPORTANCE OF CHOOSING
THE RIGHT DATA WAREHOUSING
PLATFORM:
1.Optimal Performance: The right platform can significantly impact performance, enabling timely
data analysis and informed decision-making.
2.Scalability: Choosing a platform that can scale with your data needs ensures that your system
remains relevant and efficient as your business grows.
3.Data Transformation: A data warehousing platform that streamlines data transformation and
integration processes can save time and resources.
4.Security and Compliance: Selecting a platform with robust security features is vital for protecting
sensitive data and ensuring compliance with regulations.
5.Cost Efficiency: The right choice can lead to cost savings and effective budget management
through suitable pricing models and licensing options.
6.Flexibility: A flexible platform, like Oracle Exadata, can adapt to changing deployment needs,
whether on-premises, in the cloud, or a hybrid approach.
7.Integration: For organizations invested in specific ecosystems or technologies, seamless
integration is crucial to optimize data management and workflows.