Adding database objects to GreenSQL Express Edition
•
0 likes•650 views
GreenSQL Express Edition allows users to add database objects like tables, views, stored procedures, and triggers. Users can create these objects through the GreenSQL Express Edition interface or by writing and executing SQL statements. Once added, these database objects can be managed and used to store and retrieve data within the GreenSQL Express Edition environment.
Report
Share
Report
Share
Download to read offline
Recommended
Ahmed Absi slides bigbwa
This document discusses BigBWA, a tool that uses Hadoop's MapReduce framework to parallelize the Burrows-Wheeler Aligner (BWA) and improve its performance for large genomic datasets. BigBWA divides the read alignment process into map and reduce phases to distribute the work across multiple nodes. It provides fault tolerance and is compatible with different versions of BWA without requiring modifications. Evaluation on genome datasets ranging from 3.9GB to 54.7GB showed significant reductions in execution time compared to the serial BWA implementation. BigBWA represents the first approach to parallelize BWA-MEM, an important long read alignment algorithm, using big data technologies.
Presented by Ahmed Abdulhakim Al-Absi - Scaling map reduce applications acro...
Scaling map reduce applications across hybrid clouds to meet soft deadlines - By Michael Mattess, Rodrigo N. Calheiros, and Rajkumar Buyya, Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications (AINA 2013, IEEE CS Press, USA), Barcelona, Spain, March 25-28, 2013.
Energy usage insights_with_hadoop_and_h_base
This document provides an overview of using Hadoop and HBase to gain insights from energy usage data. It discusses storing metering and billing data in an entity-centric schema in HBase to support calculating insights like rate calculations. It describes the architecture for batch insight jobs and services to access insights. Example rate calculation jobs are shown that retrieve usage data for a site and calculate the cost using a RateEngine. The document also discusses challenges of ETL to the schema, bulk loading, and supporting mixed workloads on the cluster.
Big Data on Implementation of Many to Many Clustering
Abstract: With development of the information technology, the scale of data is increasing quickly. The massive data poses a great challenge for data processing and classification. In order to classify the data, there were several algorithm proposed to efficiently cluster the data. One among that is the random forest algorithm, which is used for the feature subset selection. The feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. It is achieved by classifying the given data. The efficiency is calculated based on the time required to find a subset of features, the effectiveness is related to the quality of the subset of features. The existing system deals with fast clustering based feature selection algorithm, which is proven to be powerful, but when the size of the dataset increases rapidly, the current algorithm is found to be less efficient as the clustering of datasets takes quiet more number of time. Hence the new method of implementation is proposed in this project to efficiently cluster the data and persist on the back-end database accordingly to reduce the time. It is achieved by scalable random forest algorithm. The Scalable random forest is implemented using Map Reduce Programming (An implementation of Big Data) to efficiently cluster the data. In works on two phases, the first step deals with the gathering the datasets and persisting on the datastore and the second step deals with the clustering and classification of data. This process is completely implemented using Google App Engine’s hadoop platform, which is a widely used open-source implementation of Google's distributed file system using MapReduce framework for scalable distributed computing or cloud computing. MapReduce programming model provides an efficient framework for processing large datasets in an extremely parallel mining. And it comes to being the most popular parallel model for data processing in cloud computing platform. However, designing the traditional machine learning algorithms with MapReduce programming framework is very necessary in dealing with massive datasets.Keywords: Data mining, Hadoop, Map Reduce, Clustering Tree.
Title: Big Data on Implementation of Many to Many Clustering
Author: Ravi. R, Michael. G
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Implementing Workload Postponing In Cloudsim to Maximize Renewable Energy Uti...
Green datacenters has become a major research area among researchers in academy and industry. One of the
recent approaches getting higher attention is supplying datacenters with renewable sources of energy, leading to
cleaner and more sustainable datacenters. However, this path poses new challenges. The main problem with
existing renewable energy technologies is high variability, which means high fluctuation of available energy
during different time periods on a day, month or year. In our paper, we address the issue of better managing
datacenter workload in order to achieve higher utilization of available renewable energy. We implement an
algorithm in CloudSim simulator which decides to postpone or urgently run a specific job asking for datacenter
resources, based on job’s deadline and available solar energy. The aim of this algorithm is to make workload
energy consumption through 24 hours match as much as possible the solar energy availability in 24 hours. Two
typical, clear and cloudy days, are taken in consideration for simulation. The results from our experiments show
that, for the chosen workload model, jobs are better managed by postponing or urgently running them, in terms
of leveraging available solar energy. This yields up to 17% higher utilization of daily solar energy
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
Increased processing power of MapReduce clusters generally enhances performance and availability at the cost of substantial energy consumption that often incurs higher operational costs (e.g., electricity bills) and negative environmental impacts (e.g., carbon dioxide emissions). There exist a few greening methods for computing clusters in the literature that focus mainly on computational energy consumption leaving cooling energy, which occupies a significant portion of the total energy consumed by the clusters. To this extent, in this paper, we propose a machine learning based approach named as Green MapReduce Cluster (GMC) that reduces the total energy consumption of a MapReduce cluster considering both computational energy and cooling energy. GMC predicts the number of machines that results in minimum total energy consumption. We perform the prediction through applying different machine learning techniques over year-long data collected from a real setup. We evaluate performance of GMC over a real testbed. Our evaluation reveals that GMC reduces total energy consumption by up to 47% compared to other alternatives while experiencing marginal throughput degradation in a few cases.
Modeling Geospatial Data in Hydra Using GeoConcerns
This document discusses modeling geospatial data using GeoConcerns, which extends CurationConcerns to handle geospatial resources. It covers dependencies and APIs, the GeoConcerns reference implementation, relationships between geospatial data sets, testing with RSpec, emerging functionality, and calls for future contributions on GitHub.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
Recommended
Ahmed Absi slides bigbwa
This document discusses BigBWA, a tool that uses Hadoop's MapReduce framework to parallelize the Burrows-Wheeler Aligner (BWA) and improve its performance for large genomic datasets. BigBWA divides the read alignment process into map and reduce phases to distribute the work across multiple nodes. It provides fault tolerance and is compatible with different versions of BWA without requiring modifications. Evaluation on genome datasets ranging from 3.9GB to 54.7GB showed significant reductions in execution time compared to the serial BWA implementation. BigBWA represents the first approach to parallelize BWA-MEM, an important long read alignment algorithm, using big data technologies.
Presented by Ahmed Abdulhakim Al-Absi - Scaling map reduce applications acro...
Scaling map reduce applications across hybrid clouds to meet soft deadlines - By Michael Mattess, Rodrigo N. Calheiros, and Rajkumar Buyya, Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications (AINA 2013, IEEE CS Press, USA), Barcelona, Spain, March 25-28, 2013.
Energy usage insights_with_hadoop_and_h_base
This document provides an overview of using Hadoop and HBase to gain insights from energy usage data. It discusses storing metering and billing data in an entity-centric schema in HBase to support calculating insights like rate calculations. It describes the architecture for batch insight jobs and services to access insights. Example rate calculation jobs are shown that retrieve usage data for a site and calculate the cost using a RateEngine. The document also discusses challenges of ETL to the schema, bulk loading, and supporting mixed workloads on the cluster.
Big Data on Implementation of Many to Many Clustering
Abstract: With development of the information technology, the scale of data is increasing quickly. The massive data poses a great challenge for data processing and classification. In order to classify the data, there were several algorithm proposed to efficiently cluster the data. One among that is the random forest algorithm, which is used for the feature subset selection. The feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. It is achieved by classifying the given data. The efficiency is calculated based on the time required to find a subset of features, the effectiveness is related to the quality of the subset of features. The existing system deals with fast clustering based feature selection algorithm, which is proven to be powerful, but when the size of the dataset increases rapidly, the current algorithm is found to be less efficient as the clustering of datasets takes quiet more number of time. Hence the new method of implementation is proposed in this project to efficiently cluster the data and persist on the back-end database accordingly to reduce the time. It is achieved by scalable random forest algorithm. The Scalable random forest is implemented using Map Reduce Programming (An implementation of Big Data) to efficiently cluster the data. In works on two phases, the first step deals with the gathering the datasets and persisting on the datastore and the second step deals with the clustering and classification of data. This process is completely implemented using Google App Engine’s hadoop platform, which is a widely used open-source implementation of Google's distributed file system using MapReduce framework for scalable distributed computing or cloud computing. MapReduce programming model provides an efficient framework for processing large datasets in an extremely parallel mining. And it comes to being the most popular parallel model for data processing in cloud computing platform. However, designing the traditional machine learning algorithms with MapReduce programming framework is very necessary in dealing with massive datasets.Keywords: Data mining, Hadoop, Map Reduce, Clustering Tree.
Title: Big Data on Implementation of Many to Many Clustering
Author: Ravi. R, Michael. G
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Implementing Workload Postponing In Cloudsim to Maximize Renewable Energy Uti...
Green datacenters has become a major research area among researchers in academy and industry. One of the
recent approaches getting higher attention is supplying datacenters with renewable sources of energy, leading to
cleaner and more sustainable datacenters. However, this path poses new challenges. The main problem with
existing renewable energy technologies is high variability, which means high fluctuation of available energy
during different time periods on a day, month or year. In our paper, we address the issue of better managing
datacenter workload in order to achieve higher utilization of available renewable energy. We implement an
algorithm in CloudSim simulator which decides to postpone or urgently run a specific job asking for datacenter
resources, based on job’s deadline and available solar energy. The aim of this algorithm is to make workload
energy consumption through 24 hours match as much as possible the solar energy availability in 24 hours. Two
typical, clear and cloudy days, are taken in consideration for simulation. The results from our experiments show
that, for the chosen workload model, jobs are better managed by postponing or urgently running them, in terms
of leveraging available solar energy. This yields up to 17% higher utilization of daily solar energy
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
Increased processing power of MapReduce clusters generally enhances performance and availability at the cost of substantial energy consumption that often incurs higher operational costs (e.g., electricity bills) and negative environmental impacts (e.g., carbon dioxide emissions). There exist a few greening methods for computing clusters in the literature that focus mainly on computational energy consumption leaving cooling energy, which occupies a significant portion of the total energy consumed by the clusters. To this extent, in this paper, we propose a machine learning based approach named as Green MapReduce Cluster (GMC) that reduces the total energy consumption of a MapReduce cluster considering both computational energy and cooling energy. GMC predicts the number of machines that results in minimum total energy consumption. We perform the prediction through applying different machine learning techniques over year-long data collected from a real setup. We evaluate performance of GMC over a real testbed. Our evaluation reveals that GMC reduces total energy consumption by up to 47% compared to other alternatives while experiencing marginal throughput degradation in a few cases.
Modeling Geospatial Data in Hydra Using GeoConcerns
This document discusses modeling geospatial data using GeoConcerns, which extends CurationConcerns to handle geospatial resources. It covers dependencies and APIs, the GeoConcerns reference implementation, relationships between geospatial data sets, testing with RSpec, emerging functionality, and calls for future contributions on GitHub.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
Logging SQL Injection Attempts
Logging SQL injection attempts involves tracking any time a hacker tries to exploit vulnerabilities in a database through malicious SQL code. The logs would capture the date, time, IP address, and details of the attempted injection. This information can then be analyzed to identify patterns or repeat attackers seeking unauthorized access to sensitive data stored in the database.
Creating a Basic Startup Security Policy
SQL injection is a code injection technique that exploits security vulnerabilities in an application's software. Attackers can destroy databases, access sensitive data, and take control of back-end database servers by inserting malicious SQL statements into entry fields. Developers must properly sanitize all user-supplied input to prevent SQL injection attacks by removing or escaping any characters that could alter the intended SQL commands.
Las bases de datos
Un documento describe los conceptos clave de las bases de datos y los sistemas de gestión de bases de datos (SGBD). Un SGBD es software que permite el almacenamiento y actualización de datos por múltiples usuarios desde diferentes perspectivas. Los SGBD brindan herramientas para manipular datos de forma abstracta sin conocer detalles de almacenamiento. Un SGBD consta de hardware para almacenamiento, software para crear y procesar datos, usuarios que usan la base de datos, y los propios datos almacenados.
GreenSQL v2.2 Activation Tutorial
GreenSQL is a software tool that analyzes SQL queries and databases to measure their environmental impact and find more efficient alternatives. This tutorial shows how to activate the GreenSQL analysis features in your existing SQL database. It involves downloading the GreenSQL plugin, running the activation script on your database, and then GreenSQL will monitor queries and suggest more sustainable options.
GreenSQL Activation Tutorial
1. The document provides step-by-step instructions for connecting to a GreenSQL server for the first time and completing the initial configuration.
2. It guides the user to enter the IP address and port for the GreenSQL server, add it as a trusted connection, log in with the default credentials, change the admin password, and activate the trial license key.
3. Once complete, the registration status should update to "Evaluation" on the homepage.
Create an Advanced Audit Policy
This document discusses creating an advanced audit policy. An audit policy allows you to monitor user and system activity on a network. It outlines what events will be logged, such as user logons, policy changes, or failed access attempts, which helps detect security issues or policy violations on the network.
Strategies to rekindle the fire inside you and stay motivated.pdf
Strategies to rekindle the fire inside you and stay motivated.pdfMillion-$-Knowledge {Million Dollar Knowledge}
As we navigate through the ebbs and flows of life, it is natural to experience moments of low motivation and dwindling passion for our goals.
However, it is important to remember that this is a common hurdle that can be overcome with the right strategies in place.
In this guide, we will explore ways to rekindle the fire within you and stay motivated towards your aspirations.Understanding of Self - Applied Social Psychology - Psychology SuperNotes
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Inspire: Igniting the Spark of Human Potential
Inspire: Igniting the Spark of Human Potential
Inspiration is the force that propels individuals from ordinary to extraordinary. It transforms ideas into innovations, dreams into realities, and individuals into icons. This article delves into the multifaceted nature of inspiration, exploring its sources such as nature, art, personal experiences, and the achievements of others, and its profound impact on personal growth, societal progress, and cultural evolution. Through the lens of historical figures and timeless quotes, we uncover how inspiration fuels creativity, drives societal change, and ignites the spark of human potential.
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...CANSA The Cancer Association of South Africa
You may be stressed about revealing your cancer diagnosis to your child or children.
Children love stories and these often provide parents with a means of broaching tricky subjects and so the ‘The Secret Warrior’ book was especially written for CANSA TLC, by creative writer and social worker, Sally Ann Carter.
Find out more:
https://cansa.org.za/resources-to-help-share-a-parent-or-loved-ones-cancer-diagnosis-with-a-child/Best Way to Overcome Procrastination and Increase Productivity.pdf
Best Way to Overcome Procrastination and Increase Productivity.pdfMillion-$-Knowledge {Million Dollar Knowledge}
Procrastination is a common challenge that many individuals face when it comes to completing tasks and achieving goals. It can hinder productivity and lead to feelings of stress and frustration.
However, with the right strategies and mindset, it is possible to overcome procrastination and increase productivity.
In this article, we will explore the causes of procrastination, how to recognize the signs of procrastination in oneself, and effective strategies for overcoming procrastination and boosting productivity.More Related Content
Viewers also liked
Logging SQL Injection Attempts
Logging SQL injection attempts involves tracking any time a hacker tries to exploit vulnerabilities in a database through malicious SQL code. The logs would capture the date, time, IP address, and details of the attempted injection. This information can then be analyzed to identify patterns or repeat attackers seeking unauthorized access to sensitive data stored in the database.
Creating a Basic Startup Security Policy
SQL injection is a code injection technique that exploits security vulnerabilities in an application's software. Attackers can destroy databases, access sensitive data, and take control of back-end database servers by inserting malicious SQL statements into entry fields. Developers must properly sanitize all user-supplied input to prevent SQL injection attacks by removing or escaping any characters that could alter the intended SQL commands.
Las bases de datos
Un documento describe los conceptos clave de las bases de datos y los sistemas de gestión de bases de datos (SGBD). Un SGBD es software que permite el almacenamiento y actualización de datos por múltiples usuarios desde diferentes perspectivas. Los SGBD brindan herramientas para manipular datos de forma abstracta sin conocer detalles de almacenamiento. Un SGBD consta de hardware para almacenamiento, software para crear y procesar datos, usuarios que usan la base de datos, y los propios datos almacenados.
GreenSQL v2.2 Activation Tutorial
GreenSQL is a software tool that analyzes SQL queries and databases to measure their environmental impact and find more efficient alternatives. This tutorial shows how to activate the GreenSQL analysis features in your existing SQL database. It involves downloading the GreenSQL plugin, running the activation script on your database, and then GreenSQL will monitor queries and suggest more sustainable options.
GreenSQL Activation Tutorial
1. The document provides step-by-step instructions for connecting to a GreenSQL server for the first time and completing the initial configuration.
2. It guides the user to enter the IP address and port for the GreenSQL server, add it as a trusted connection, log in with the default credentials, change the admin password, and activate the trial license key.
3. Once complete, the registration status should update to "Evaluation" on the homepage.
Create an Advanced Audit Policy
This document discusses creating an advanced audit policy. An audit policy allows you to monitor user and system activity on a network. It outlines what events will be logged, such as user logons, policy changes, or failed access attempts, which helps detect security issues or policy violations on the network.
Viewers also liked (6)
Recently uploaded
Strategies to rekindle the fire inside you and stay motivated.pdf
Strategies to rekindle the fire inside you and stay motivated.pdfMillion-$-Knowledge {Million Dollar Knowledge}
As we navigate through the ebbs and flows of life, it is natural to experience moments of low motivation and dwindling passion for our goals.
However, it is important to remember that this is a common hurdle that can be overcome with the right strategies in place.
In this guide, we will explore ways to rekindle the fire within you and stay motivated towards your aspirations.Understanding of Self - Applied Social Psychology - Psychology SuperNotes
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Inspire: Igniting the Spark of Human Potential
Inspire: Igniting the Spark of Human Potential
Inspiration is the force that propels individuals from ordinary to extraordinary. It transforms ideas into innovations, dreams into realities, and individuals into icons. This article delves into the multifaceted nature of inspiration, exploring its sources such as nature, art, personal experiences, and the achievements of others, and its profound impact on personal growth, societal progress, and cultural evolution. Through the lens of historical figures and timeless quotes, we uncover how inspiration fuels creativity, drives societal change, and ignites the spark of human potential.
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...CANSA The Cancer Association of South Africa
You may be stressed about revealing your cancer diagnosis to your child or children.
Children love stories and these often provide parents with a means of broaching tricky subjects and so the ‘The Secret Warrior’ book was especially written for CANSA TLC, by creative writer and social worker, Sally Ann Carter.
Find out more:
https://cansa.org.za/resources-to-help-share-a-parent-or-loved-ones-cancer-diagnosis-with-a-child/Best Way to Overcome Procrastination and Increase Productivity.pdf
Best Way to Overcome Procrastination and Increase Productivity.pdfMillion-$-Knowledge {Million Dollar Knowledge}
Procrastination is a common challenge that many individuals face when it comes to completing tasks and achieving goals. It can hinder productivity and lead to feelings of stress and frustration.
However, with the right strategies and mindset, it is possible to overcome procrastination and increase productivity.
In this article, we will explore the causes of procrastination, how to recognize the signs of procrastination in oneself, and effective strategies for overcoming procrastination and boosting productivity.Recently uploaded (6)
Strategies to rekindle the fire inside you and stay motivated.pdf
Strategies to rekindle the fire inside you and stay motivated.pdf
Understanding of Self - Applied Social Psychology - Psychology SuperNotes
Understanding of Self - Applied Social Psychology - Psychology SuperNotes
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...
The Secret Warrior - Help Share a Parent or Loved Ones’ Cancer Diagnosis with...
Best Way to Overcome Procrastination and Increase Productivity.pdf
Best Way to Overcome Procrastination and Increase Productivity.pdf
aula open english sobre Classic-motorcycles-2_1.pdf
aula open english sobre Classic-motorcycles-2_1.pdf
Adding database objects to GreenSQL Express Edition
- 1. Adding database objects to GreenSQL Express Edition