What is GraphDB and how can it help you run a smart data-driven business?
Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.
How to migrate to GraphDB in 10 easy to follow steps Ontotext
GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database.
Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets.
With GraphDB Migration Services you will:
* Optimize the cost of managing the RDF database;
* Improve the performance of your system;
* Get the maximum value from your semantic solution.
What is GraphDB and how can it help you run a smart data-driven business?
Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.
How to migrate to GraphDB in 10 easy to follow steps Ontotext
GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database.
Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets.
With GraphDB Migration Services you will:
* Optimize the cost of managing the RDF database;
* Improve the performance of your system;
* Get the maximum value from your semantic solution.
Asterix Solution’s Hadoop Training is designed to help applications scale up from single servers to thousands of machines. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it.
http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html
Duration - 25 hrs
Session - 2 per week
Live Case Studies - 6
Students - 16 per batch
Venue - Thane
In this deck, Trish Damkroger from Intel describes Technology Trends Driving HPC.
"HPC is now critical for more use cases, complex workloads, and data-intensive computing than ever before. From AI and visualization to simulation and modeling, Intel provides the advantage of one platform for any workload by integrating world-class compute with powerful fabric, memory, storage, and acceleration. You can move your research and innovation forward faster to solve the world’s most complex challenges."
Watch the video: https://insidehpc.com/2018/08/techtrends/
Learn more: http://intel.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How Big Data technology affects businesses?NexSoftsys
Top 5 big data technology for a modern business to manage supply chains, quickly understand the business customer’s requirements and identify the fake transaction.
Research Data Australia and the national research data landscapeRichard Ferrers
A presentation to RMIT Researcher Training week; 9 Oct 2018.
For Australian Research Data Commons (ARDC.edu.au).
Research Data Australia is the Australian national research data catalogue, managed by ARDC.
Microsoft also recently launched the second try out of its other Hadoop substitute LINQ to HPC, formerly known as Dryad. LINQ/Dryad have been used for Google for some time, but not the various resources are available to users of Microsoft windows HPC Server 2008 groups.
The purpose of this study is to develop a system which will assist a user to determine if a location can be entitled as a “Safe” residence or not. The output will be based on an analysis carried out on the local crime history of the city. This involves examining a huge geolocation data and zeroing down to a single area. The area with majority crime incidents will be highlighted as Unsafe. Clicking/hovering on a single record will display name, associated crime and its rank depending on number of crimes occurred. Big Data Hadoop and Hive systems are implemented in Azure for the analysis.
Keywords: Hadoop, Big Data, Hive, Azure
Asterix Solution’s Hadoop Training is designed to help applications scale up from single servers to thousands of machines. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it.
http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html
Duration - 25 hrs
Session - 2 per week
Live Case Studies - 6
Students - 16 per batch
Venue - Thane
In this deck, Trish Damkroger from Intel describes Technology Trends Driving HPC.
"HPC is now critical for more use cases, complex workloads, and data-intensive computing than ever before. From AI and visualization to simulation and modeling, Intel provides the advantage of one platform for any workload by integrating world-class compute with powerful fabric, memory, storage, and acceleration. You can move your research and innovation forward faster to solve the world’s most complex challenges."
Watch the video: https://insidehpc.com/2018/08/techtrends/
Learn more: http://intel.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How Big Data technology affects businesses?NexSoftsys
Top 5 big data technology for a modern business to manage supply chains, quickly understand the business customer’s requirements and identify the fake transaction.
Research Data Australia and the national research data landscapeRichard Ferrers
A presentation to RMIT Researcher Training week; 9 Oct 2018.
For Australian Research Data Commons (ARDC.edu.au).
Research Data Australia is the Australian national research data catalogue, managed by ARDC.
Microsoft also recently launched the second try out of its other Hadoop substitute LINQ to HPC, formerly known as Dryad. LINQ/Dryad have been used for Google for some time, but not the various resources are available to users of Microsoft windows HPC Server 2008 groups.
The purpose of this study is to develop a system which will assist a user to determine if a location can be entitled as a “Safe” residence or not. The output will be based on an analysis carried out on the local crime history of the city. This involves examining a huge geolocation data and zeroing down to a single area. The area with majority crime incidents will be highlighted as Unsafe. Clicking/hovering on a single record will display name, associated crime and its rank depending on number of crimes occurred. Big Data Hadoop and Hive systems are implemented in Azure for the analysis.
Keywords: Hadoop, Big Data, Hive, Azure
Most common technology which is used to store meta data and large databases.we can find numerous applications in the real world.It is the very useful for creating new database oriented apps
We are in the age of big data which involves collection of large datasets.Managing and processing large data sets is difficult with existing traditional database systems.Hadoop and Map Reduce has become one of the most powerful and popular tools for big data processing . Hadoop Map Reduce a powerful programming model is used for analyzing large set of data with parallelization, fault tolerance and load balancing and other features are it is elastic,scalable,efficient.MapReduce with cloud is combined to form a framework for storage, processing and analysis of massive machine maintenance data in a cloud computing environment.
The rise of “Big Data” on cloud computing: Review and open research issues
Paper Link: https://www.researchgate.net/publication/264624667_The_rise_of_Big_Data_on_cloud_computing_Review_and_open_research_issues
Big Data Mining, Techniques, Handling Technologies and Some Related Issues: A...IJSRD
The Size of the data is increasing day by day with the using of social site. Big Data is a concept to manage and mine the large set of data. Today the concept of Big Data is widely used to mine the insight data of organization as well outside data. There are many techniques and technologies used in Big Data mining to extract the useful information from the distributed system. It is more powerful to extract the information compare with traditional data mining techniques. One of the most known technologies is Hadoop, used in Big Data mining. It takes many advantages over the traditional data mining technique but it has some issues like visualization technique, privacy etc.
Big Data Mining, Techniques, Handling Technologies and Some Related Issues: A...IJSRD
The Size of the data is increasing day by day with the using of social site. Big Data is a concept to manage and mine the large set of data. Today the concept of Big Data is widely used to mine the insight data of organization as well outside data. There are many techniques and technologies used in Big Data mining to extract the useful information from the distributed system. It is more powerful to extract the information compare with traditional data mining techniques. One of the most known technologies is Hadoop, used in Big Data mining. It takes many advantages over the traditional data mining technique but it has some issues like visualization technique, privacy etc.
You’re not the only one still loading your data into data warehouses and building marts or cubes out of it. But today’s data requires a much more accessible environment that delivers real-time results. Prepare for this transformation because your data platform and storage choices are about to undergo a re-platforming that happens once in 30 years.
With the MapR Converged Data Platform (CDP) and Cisco Unified Compute System (UCS), you can optimize today’s infrastructure and grow to take advantage of what’s next. Uncover the range of possibilities from re-platforming by intimately understanding your options for density, performance, functionality and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
Bigdata projects
1. BIGDATA 2018-19 PROJECT TITLES
SNO PROJECT TITLE
01 A Scalable Data Chunk Similarity based Compression
Approach for Efficient Big Sensing Data Processing on Cloud
02 A Systematic Approach Toward Description and Classification
of Cybercrime Incidents
03 Achieving Efficient and Privacy-Preserving Cross-Domain Big
Data Deduplication in Cloud
04 aHDFS: An Erasure-Coded Data Archival System for Hadoop
Clusters
05 Big Data Privacy in Biomedical Research
06 Cost-Aware Big Data Processing across Geo-distributed
Datacenters
07 Disease Prediction by Machine Learning over Big Data from
Healthcare Communities
08 DyScale: a MapReduce Job Scheduler for Heterogeneous
Multicore Processors
09 Efficient Processing of Skyline Queries Using MapReduce
10 FiDoop-DP: Data Partitioning in Frequent Itemset Mining on
Hadoop Clusters
11 Hadoop MapReduce for Mobile Clouds
12 Mining Human Activity Patterns from Smart Home Big Data for
Healthcare Applications
13 PPHOPCM: Privacy-preserving High-order Possibilistic c-
Means Algorithm for Big Data Clustering with Cloud Computing
14 Practical Privacy-Preserving MapReduce Based K-means
Clustering over Large-scale Dataset
15 Public Interest Analysis Based on Implicit Feedback of IPTV
Users
16 Ring: Real-Time Emerging Anomaly Monitoring System over
Text Streams
17 Robust Big Data Analytics for Electricity Price Forecasting in
the Smart Grid
18 Scalable Uncertainty-Aware Truth Discovery in Big Data Social
Sensing Applications for Cyber-Physical Systems
19 Self-Adjusting Slot Configurations for Homogeneous and
Heterogeneous Hadoop Clusters
20 Service Rating Prediction by Exploring Social Mobile Users’
Geographical Locations
