Parashar21 : What ? Why ? and How ?
•Download as ODP, PDF•
1 like•855 views
This presentation describes the philosophy, the features and the future plans that we have about the Parashar21 platform of Indian Astrology _________________________________________________________________ The new Windows Live Messenger. You don’t want to miss this. http://www.microsoft.com/india/windows/windowslive/messenger.aspx
Report
Share
Report
Share
![What is Parashar21 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Consumerization of BI - Bring Your Own Insight
The document discusses balancing the needs of IT, power users, and regular users when it comes to data and business intelligence tools. It states that both documents created by users with limited IT involvement and applications owned and managed by IT are useful, but each has tradeoffs. It emphasizes finding the right balance between the control and governance provided by IT systems and the flexibility and agility offered by document-based tools.
Big data - A Really Big Enchilada?
This document discusses big data and its characteristics. It notes that big data is characterized by high volume, variety, and velocity of data. It proposes that to effectively process big data at scale, processing should be brought to the data instead of transferring all the data to processing. Big data challenges include mining data for insights, performing real-time analysis at internet scale, information visualization, and continuous machine learning from both historical and real-time data streams. The outcomes of big data include predictive analytics, automated machine learning, and continual improvement of insights.
Big data
This document defines big data and its characteristics using the 5 Vs model - volume, velocity, variety, veracity, and value. It discusses technologies like Hadoop, HDFS, MapReduce, Apache Pig, Hive, and Mahout that make up the Hadoop ecosystem for distributed storage and processing of large, unstructured data sets. Finally, it outlines the key skills needed for working with big data, including analytical and computer skills as well as creativity, math, communication abilities, and understanding of business objectives.
Big data technology
Hadoop is a software platform that can reliably store and process extremely large datasets in a distributed, scalable, and economical manner. It distributes data and processing tasks across clusters of commodity hardware. Hadoop uses HDFS for reliable storage of large files across nodes, and MapReduce for efficiently processing data in parallel on the nodes where data is located. Together, HDFS and MapReduce allow users to quickly write distributed systems that can handle petabytes of data and complex queries.
VMworld 2013: Storage IO Control: Concepts, Configuration and Best Practices ...
VMworld 2013
Sachin Manpathak, VMware
Mustafa Uysal, VMware
Sunil Muralidhar, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
An Efficient Backup and Replication of Storage
This document describes WalB, a Linux kernel device driver that provides efficient backup and replication of storage using block-level write-ahead logging (WAL). It has negligible performance overhead and avoids issues like fragmentation. WalB works by wrapping a block device and writing redo logs to a separate log device. It then extracts diffs for backup/replication. The document discusses WalB's architecture, algorithm, performance evaluation and future work.
MS Paint Collection: 04 - Astrology Series
This document is a description of an MS Paint collection featuring illustrations of astrological signs and planets. The collection includes drawings of the Aries, Taurus, Gemini, Cancer, Leo, Virgo, Libra, Scorpius, Sagittarius, Capricornus, Aquarius, and Pisces zodiac signs as well as the planets Terra, Sol, Luna, Jupiter, Mars, Mercury, Neptune, Pluto, Saturn, Uranus, and Venus. The illustrations were created using a combination of MS Paint and Corel Photo Paint effects to demonstrate how different tools can be combined to produce high-quality results.
Where We're Headed and Where NSX Fits In
This document discusses broad industry trends in computing and how they relate to networking needs. It summarizes that microservices architectures, containerization, cloud computing, and automation have led to more dynamic workloads and endpoints that require network automation. NSX provides network services like switching, routing, firewalling, and load balancing that can automate networking in a hardware-agnostic way to support private and public clouds as well as Docker containers. The presentation provides an overview of these trends and how NSX fits into enabling network automation for modern applications and infrastructure.
Recommended
Consumerization of BI - Bring Your Own Insight
The document discusses balancing the needs of IT, power users, and regular users when it comes to data and business intelligence tools. It states that both documents created by users with limited IT involvement and applications owned and managed by IT are useful, but each has tradeoffs. It emphasizes finding the right balance between the control and governance provided by IT systems and the flexibility and agility offered by document-based tools.
Big data - A Really Big Enchilada?
This document discusses big data and its characteristics. It notes that big data is characterized by high volume, variety, and velocity of data. It proposes that to effectively process big data at scale, processing should be brought to the data instead of transferring all the data to processing. Big data challenges include mining data for insights, performing real-time analysis at internet scale, information visualization, and continuous machine learning from both historical and real-time data streams. The outcomes of big data include predictive analytics, automated machine learning, and continual improvement of insights.
Big data
This document defines big data and its characteristics using the 5 Vs model - volume, velocity, variety, veracity, and value. It discusses technologies like Hadoop, HDFS, MapReduce, Apache Pig, Hive, and Mahout that make up the Hadoop ecosystem for distributed storage and processing of large, unstructured data sets. Finally, it outlines the key skills needed for working with big data, including analytical and computer skills as well as creativity, math, communication abilities, and understanding of business objectives.
Big data technology
Hadoop is a software platform that can reliably store and process extremely large datasets in a distributed, scalable, and economical manner. It distributes data and processing tasks across clusters of commodity hardware. Hadoop uses HDFS for reliable storage of large files across nodes, and MapReduce for efficiently processing data in parallel on the nodes where data is located. Together, HDFS and MapReduce allow users to quickly write distributed systems that can handle petabytes of data and complex queries.
VMworld 2013: Storage IO Control: Concepts, Configuration and Best Practices ...
VMworld 2013
Sachin Manpathak, VMware
Mustafa Uysal, VMware
Sunil Muralidhar, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
An Efficient Backup and Replication of Storage
This document describes WalB, a Linux kernel device driver that provides efficient backup and replication of storage using block-level write-ahead logging (WAL). It has negligible performance overhead and avoids issues like fragmentation. WalB works by wrapping a block device and writing redo logs to a separate log device. It then extracts diffs for backup/replication. The document discusses WalB's architecture, algorithm, performance evaluation and future work.
MS Paint Collection: 04 - Astrology Series
This document is a description of an MS Paint collection featuring illustrations of astrological signs and planets. The collection includes drawings of the Aries, Taurus, Gemini, Cancer, Leo, Virgo, Libra, Scorpius, Sagittarius, Capricornus, Aquarius, and Pisces zodiac signs as well as the planets Terra, Sol, Luna, Jupiter, Mars, Mercury, Neptune, Pluto, Saturn, Uranus, and Venus. The illustrations were created using a combination of MS Paint and Corel Photo Paint effects to demonstrate how different tools can be combined to produce high-quality results.
Where We're Headed and Where NSX Fits In
This document discusses broad industry trends in computing and how they relate to networking needs. It summarizes that microservices architectures, containerization, cloud computing, and automation have led to more dynamic workloads and endpoints that require network automation. NSX provides network services like switching, routing, firewalling, and load balancing that can automate networking in a hardware-agnostic way to support private and public clouds as well as Docker containers. The presentation provides an overview of these trends and how NSX fits into enabling network automation for modern applications and infrastructure.
Sustaining Your Career
The theme for the 2015 LabMan Conference (held at UNT in Denton, TX) is sustainability, and this closing keynote presentation talks about sustaining your career.
Indian Astrology | Astrology Services
Get the ever best astrology services in UK London through famous Indian astrologist Pandith Varma online as well as through phone.
Getting Involved in VMUG
The document discusses getting involved in your local VMUG (VMware User Group) chapter and addresses common concerns people have. It summarizes that VMUG wants more user participation through activities like speaking at meetings. It counters typical excuses people make for not participating, such as not being an expert, not having anything interesting to share, or not being a good public speaker. It encourages people to get involved by discovering what they have to share from their unique environment and to leverage mentors who can help with speaking opportunities. In the end, it challenges readers to consider speaking at a future VMUG meeting.
The Future of Cloud Networking is VMware NSX (Danish VMUG edition)
This presentation provides a definition of cloud computing (using NIST SP800-145), then builds on that definition to show why cloud networking has specific needs and how VMware NSX was built to meet those needs.
VMworld Europe 2014: Storage DRS - Deep Dive and Best Practices
This document discusses new features in VMware vSphere 6.0 related to storage management and optimization. It introduces Storage DRS which helps balance storage resource utilization across datastores and hosts. New features like IO reservations allow minimum guaranteed performance levels for VMs. Storage DRS also integrates with storage array technologies like thin provisioning, deduplication, auto-tiering, and replication to improve storage efficiency and availability. The document provides best practices for deploying Storage DRS to maximize its benefits.
An Introduction to Vagrant and Docker
This presentation, given at the Nashville VMUG Converge 2015 event on April 8, 2015, provides an overview of Vagrant and Docker as tools that VMware administrators might find useful.
Astrology basic
This document contains information about Dr. Sanjeev Sood, an expert in Ayurvedic medicine and Vedic astrology. It defines astrology as the science of light from both celestial bodies and the soul. It discusses the signs of the zodiac, planets and their meanings, planet strengths based on signs and houses, and provides a brief overview of Vedic astrology principles.
Solving io bottleneck
This document discusses solutions for improving I/O performance in virtualized data centers and cloud computing environments. It outlines how server virtualization can create I/O bottlenecks and describes emerging technologies like SSDs, high bandwidth networks, and intelligent software that can help address these issues. SSDs in particular are presented as a cost effective way to improve performance for database and transactional applications by providing more IOPS. The role of new storage class memory technologies in filling the performance gap between DRAM and HDDs is also examined.
Next-Generation Best Practices for VMware and Storage
This is the opening keynote presentation, focusing on VMware and storage best practices, from the Midwest Regional VMUG in Kansas City on December 6, 2010.
Simple math fusion-io_v4
The document discusses how Fusion-io products provide simple math benefits for virtual desktop infrastructure (VDI), server virtualization, databases, and shared storage. For each application, Fusion-io allows for more resources per server, lower costs, and better utilization of storage area networks (SANs) through faster performance, greater density of virtual machines and desktops, and reduced storage queues and failover times.
The Vision for the Future of Network Virtualization with VMware NSX
This presentation recaps some announcements and demonstrations made at VMworld 2015 regarding new features and new functionality tentatively anticipated for future versions of VMware NSX.
The Full Stack Journey (DFW)
The document discusses the concept of a "full stack engineer" and the importance of continuous learning for IT professionals. It defines a full stack engineer as someone who can work across different technology layers and silos in the modern data center stack. Forces like changing IT skill sets are driving more professionals to take on full stack roles. While being a true full stack engineer may be unattainable, the journey of expanding one's skills and knowledge across the stack provides benefits. The presenter advocates for lifelong learning and discusses his podcast for sharing advice on the "full stack journey."
The Vision for the Future of Network Virtualization with VMware NSX (Q2 2016)
This presentation demonstrates the vision for the future of network virtualization with VMware NSX (as of Q2 2016).
Areas of KP research 2015
The document outlines proposed areas of research in KP astrology to validate recent theories, address debates, and test predictive techniques. It suggests forming research groups to study sub-harmonics theory, the role of nodes, cuspal links, retrograde planets, and rules for second marriages. The groups would collect charts, compare predictions to outcomes, and document cases where theories agree or disagree. A timeline is given for initial and final submissions over a 3-month period to be published in KPAF's journal. The goal is to validate new concepts and techniques through extensive research.
An Overview of Linux Networking Options
This presentation provides an introductory overview of Linux networking options, including network namespaces, VLAN interfaces, MACVLAN interfaces, and virtual Ethernet (veth) interfaces.
Kp interpretation of 6th house
The document discusses how astrology can be used to interpret health issues based on a natal chart. It states that the 6th house cusp and planets indicate lifetime diseases, and diseases manifest during difficult astrological periods of the 6th, 8th and 12th houses. Relief comes during periods of the 5th and 11th houses. It provides guidance on using horary charts to determine accurate diagnosis, appropriate treatments like allopathic vs homeopathic, likelihood of full recovery from injuries, risk of accidents, and selecting an auspicious time for medical treatment or wearing gems.
The Future of Cloud Networking is VMware NSX
This presentation was first given at Varrow Madness 2014 and discusses the need for a solution specifically designed (like VMware NSX) for cloud networking
Primer on kp
This document provides an overview of the KP astrology system developed by Prof. K.S. Krishnamurti. It discusses that KP is based on the nirayana system and emphasizes constellations, sublords of houses and planets. The key principles of KP are that a planet gives the results of its constellation lord, which are determined to be good or bad based on the planet's sublord. Timing of events is predicted using dasa-bhukti-antara of the significators. Ruling planets also play an important role in accurate timing. The document asserts that KP provides a scientific and accurate approach to astrological predictions.
VMware Advance Troubleshooting Workshop - Day 3
The document provides an introduction to VMware vSphere distributed switches. It lists the benefits of distributed switches over standard switches, describes the distributed switch architecture, and discusses how to create, manage, and configure distributed switches and their properties. It also covers topics like distributed port groups, VMkernel networking, NetFlow, private VLANs, and troubleshooting distributed switch issues.
Network Virtualization with VMware NSX
VMware NSX provides the right abstraction—the virtual network—to enable operational change that addresses networking pain points and meets business needs. A virtual network must do more than provide connectivity - it must deliver virtual network services like routing, firewalling, and load balancing. It also decouples the network from physical hardware, allowing workloads to be placed and moved anywhere. This enables programmatic provisioning, placement of workloads anywhere, and mobility of workloads, addressing common challenges in software-defined data centers.
Knowledgebase vs Database
Knowledgebases differ from databases in three key ways:
1. Knowledgebases capture human knowledge and place it in a system that can solve complex problems using that knowledge, while databases simply store and organize data.
2. Knowledgebases are dynamic and can learn over time as new knowledge is added, whereas databases do not learn or change based on new information.
3. Knowledgebases can use the stored knowledge to provide answers, recommendations, and expert advice, while databases only retrieve and display stored data in response to queries.
Lecture_1_Intro.pdf
This document provides an overview of the CS639: Data Management for Data Science course. It discusses that data science is becoming increasingly important as more fields utilize data-driven approaches. The course will teach students the basics of managing and analyzing data to obtain useful insights. It will cover topics like data storage, predictive analytics, data integration, and communicating findings. The goal is for students to learn fundamental concepts and design data science workflows and pipelines. The course will include lectures, programming assignments, a midterm, and final exam.
More Related Content
Viewers also liked
Sustaining Your Career
The theme for the 2015 LabMan Conference (held at UNT in Denton, TX) is sustainability, and this closing keynote presentation talks about sustaining your career.
Indian Astrology | Astrology Services
Get the ever best astrology services in UK London through famous Indian astrologist Pandith Varma online as well as through phone.
Getting Involved in VMUG
The document discusses getting involved in your local VMUG (VMware User Group) chapter and addresses common concerns people have. It summarizes that VMUG wants more user participation through activities like speaking at meetings. It counters typical excuses people make for not participating, such as not being an expert, not having anything interesting to share, or not being a good public speaker. It encourages people to get involved by discovering what they have to share from their unique environment and to leverage mentors who can help with speaking opportunities. In the end, it challenges readers to consider speaking at a future VMUG meeting.
The Future of Cloud Networking is VMware NSX (Danish VMUG edition)
This presentation provides a definition of cloud computing (using NIST SP800-145), then builds on that definition to show why cloud networking has specific needs and how VMware NSX was built to meet those needs.
VMworld Europe 2014: Storage DRS - Deep Dive and Best Practices
This document discusses new features in VMware vSphere 6.0 related to storage management and optimization. It introduces Storage DRS which helps balance storage resource utilization across datastores and hosts. New features like IO reservations allow minimum guaranteed performance levels for VMs. Storage DRS also integrates with storage array technologies like thin provisioning, deduplication, auto-tiering, and replication to improve storage efficiency and availability. The document provides best practices for deploying Storage DRS to maximize its benefits.
An Introduction to Vagrant and Docker
This presentation, given at the Nashville VMUG Converge 2015 event on April 8, 2015, provides an overview of Vagrant and Docker as tools that VMware administrators might find useful.
Astrology basic
This document contains information about Dr. Sanjeev Sood, an expert in Ayurvedic medicine and Vedic astrology. It defines astrology as the science of light from both celestial bodies and the soul. It discusses the signs of the zodiac, planets and their meanings, planet strengths based on signs and houses, and provides a brief overview of Vedic astrology principles.
Solving io bottleneck
This document discusses solutions for improving I/O performance in virtualized data centers and cloud computing environments. It outlines how server virtualization can create I/O bottlenecks and describes emerging technologies like SSDs, high bandwidth networks, and intelligent software that can help address these issues. SSDs in particular are presented as a cost effective way to improve performance for database and transactional applications by providing more IOPS. The role of new storage class memory technologies in filling the performance gap between DRAM and HDDs is also examined.
Next-Generation Best Practices for VMware and Storage
This is the opening keynote presentation, focusing on VMware and storage best practices, from the Midwest Regional VMUG in Kansas City on December 6, 2010.
Simple math fusion-io_v4
The document discusses how Fusion-io products provide simple math benefits for virtual desktop infrastructure (VDI), server virtualization, databases, and shared storage. For each application, Fusion-io allows for more resources per server, lower costs, and better utilization of storage area networks (SANs) through faster performance, greater density of virtual machines and desktops, and reduced storage queues and failover times.
The Vision for the Future of Network Virtualization with VMware NSX
This presentation recaps some announcements and demonstrations made at VMworld 2015 regarding new features and new functionality tentatively anticipated for future versions of VMware NSX.
The Full Stack Journey (DFW)
The document discusses the concept of a "full stack engineer" and the importance of continuous learning for IT professionals. It defines a full stack engineer as someone who can work across different technology layers and silos in the modern data center stack. Forces like changing IT skill sets are driving more professionals to take on full stack roles. While being a true full stack engineer may be unattainable, the journey of expanding one's skills and knowledge across the stack provides benefits. The presenter advocates for lifelong learning and discusses his podcast for sharing advice on the "full stack journey."
The Vision for the Future of Network Virtualization with VMware NSX (Q2 2016)
This presentation demonstrates the vision for the future of network virtualization with VMware NSX (as of Q2 2016).
Areas of KP research 2015
The document outlines proposed areas of research in KP astrology to validate recent theories, address debates, and test predictive techniques. It suggests forming research groups to study sub-harmonics theory, the role of nodes, cuspal links, retrograde planets, and rules for second marriages. The groups would collect charts, compare predictions to outcomes, and document cases where theories agree or disagree. A timeline is given for initial and final submissions over a 3-month period to be published in KPAF's journal. The goal is to validate new concepts and techniques through extensive research.
An Overview of Linux Networking Options
This presentation provides an introductory overview of Linux networking options, including network namespaces, VLAN interfaces, MACVLAN interfaces, and virtual Ethernet (veth) interfaces.
Kp interpretation of 6th house
The document discusses how astrology can be used to interpret health issues based on a natal chart. It states that the 6th house cusp and planets indicate lifetime diseases, and diseases manifest during difficult astrological periods of the 6th, 8th and 12th houses. Relief comes during periods of the 5th and 11th houses. It provides guidance on using horary charts to determine accurate diagnosis, appropriate treatments like allopathic vs homeopathic, likelihood of full recovery from injuries, risk of accidents, and selecting an auspicious time for medical treatment or wearing gems.
The Future of Cloud Networking is VMware NSX
This presentation was first given at Varrow Madness 2014 and discusses the need for a solution specifically designed (like VMware NSX) for cloud networking
Primer on kp
This document provides an overview of the KP astrology system developed by Prof. K.S. Krishnamurti. It discusses that KP is based on the nirayana system and emphasizes constellations, sublords of houses and planets. The key principles of KP are that a planet gives the results of its constellation lord, which are determined to be good or bad based on the planet's sublord. Timing of events is predicted using dasa-bhukti-antara of the significators. Ruling planets also play an important role in accurate timing. The document asserts that KP provides a scientific and accurate approach to astrological predictions.
VMware Advance Troubleshooting Workshop - Day 3
The document provides an introduction to VMware vSphere distributed switches. It lists the benefits of distributed switches over standard switches, describes the distributed switch architecture, and discusses how to create, manage, and configure distributed switches and their properties. It also covers topics like distributed port groups, VMkernel networking, NetFlow, private VLANs, and troubleshooting distributed switch issues.
Network Virtualization with VMware NSX
VMware NSX provides the right abstraction—the virtual network—to enable operational change that addresses networking pain points and meets business needs. A virtual network must do more than provide connectivity - it must deliver virtual network services like routing, firewalling, and load balancing. It also decouples the network from physical hardware, allowing workloads to be placed and moved anywhere. This enables programmatic provisioning, placement of workloads anywhere, and mobility of workloads, addressing common challenges in software-defined data centers.
Viewers also liked (20)
The Future of Cloud Networking is VMware NSX (Danish VMUG edition)
The Future of Cloud Networking is VMware NSX (Danish VMUG edition)
VMworld Europe 2014: Storage DRS - Deep Dive and Best Practices
VMworld Europe 2014: Storage DRS - Deep Dive and Best Practices
Next-Generation Best Practices for VMware and Storage
Next-Generation Best Practices for VMware and Storage
The Vision for the Future of Network Virtualization with VMware NSX
The Vision for the Future of Network Virtualization with VMware NSX
The Vision for the Future of Network Virtualization with VMware NSX (Q2 2016)
The Vision for the Future of Network Virtualization with VMware NSX (Q2 2016)
Similar to Parashar21 : What ? Why ? and How ?
Knowledgebase vs Database
Knowledgebases differ from databases in three key ways:
1. Knowledgebases capture human knowledge and place it in a system that can solve complex problems using that knowledge, while databases simply store and organize data.
2. Knowledgebases are dynamic and can learn over time as new knowledge is added, whereas databases do not learn or change based on new information.
3. Knowledgebases can use the stored knowledge to provide answers, recommendations, and expert advice, while databases only retrieve and display stored data in response to queries.
Lecture_1_Intro.pdf
This document provides an overview of the CS639: Data Management for Data Science course. It discusses that data science is becoming increasingly important as more fields utilize data-driven approaches. The course will teach students the basics of managing and analyzing data to obtain useful insights. It will cover topics like data storage, predictive analytics, data integration, and communicating findings. The goal is for students to learn fundamental concepts and design data science workflows and pipelines. The course will include lectures, programming assignments, a midterm, and final exam.
A Practical-ish Introduction to Data Science
In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections:
1. I'll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation.
2. Next up well run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied.
3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.
final-the-data-teams-guide-to-the-db-lakehouse-platform-rd-6-14-22.pdf
The document discusses the evolution of data architectures from traditional data warehouses and data lakes to the modern data lakehouse architecture. Specifically, it notes that while data warehouses excel at structured data and queries, and data lakes can store vast amounts of raw data, each have limitations that a new lakehouse architecture aims to address. A lakehouse combines the best of warehouses and lakes by storing all data in a single lake while enabling both SQL/BI and AI/ML workloads directly on that unified data, with consistent security, governance and performance. This overcomes issues of having disjointed and duplicative data silos with different tools and governance between warehouses and lakes.
Vector Databases - A Technical Primer.pdf
The course is a mix of theory and demos discussing some of the underlying concepts of Vectors, Vector Databases, Indexing, Search Similarity and ending with demos specifically for Pinecone and Weaviate databases.
GeeCon Prague 2018 - A Practical-ish Introduction to Data Science
This document provides an introduction to data science. It begins with defining data science and its interdisciplinary nature, drawing from fields like computer science, mathematics, statistics, and domain-specific knowledge. It then discusses machine learning as a tool in data science and provides examples of common machine learning algorithms like linear regression, decision trees, and k-means clustering. It also outlines different roles required for data science projects. The document aims to give a practical overview of key concepts in data science.
Debunking "Purpose-Built Data Systems:": Enter the Universal Database
Purpose-built databases and platforms have actually created more complexity, effort, and unnecessary reinvention. The status quo is a big mess. TileDB took the opposite approach.
In this presentation, Stavros, the original creator of TileDB, shared the underlying principles of the TileDB universal database built on multi-dimensional arrays, making the case for it as a true first in the data management industry.
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
This document discusses big data, machine learning, and NoSQL databases. It defines big data as referring to large or complex datasets that require techniques like NoSQL, MapReduce, and machine learning for analysis. Machine learning is made possible by large amounts of publicly available unstructured data and advances in computing. NoSQL databases are used to store big data because they allow for more flexibility than structured SQL databases for applications that need to scale.
The Evolution of Metadata: LinkedIn's Story [Strata NYC 2019]
The speaker examines different metadata strategies for modeling metadata, storing metadata, and then scaling the acquisition and refinement of metadata for thousands of metadata authors and producing systems. They dive into the pros and cons of each strategy and in which scenarios they think organizations should deploy them. They explore strategies including generic types versus specific types, crawling versus publish/subscribe, single source of truth versus multiple federated sources of truth, automated classification of data, lineage propagation, and more.
Building Enterprise-Ready Knowledge Graph Applications in the Cloud
The document provides an agenda for a workshop on building enterprise-ready knowledge graph applications in the cloud. The workshop will cover understanding knowledge graphs and related technologies, setting up a knowledge graph architecture on Amazon Neptune for scalable storage and querying, and using the metaphactory platform to rapidly build applications and APIs. Attendees will learn concepts for maintaining, querying and searching knowledge graphs, and building end-user and developer applications on top of knowledge graphs. The tutorial will include hands-on demonstrations and exercises to set up a small knowledge graph application.
Excel Datamining Addin Beginner
This document discusses the Excel add-in for data mining. It allows users to mine data with a few clicks using advanced algorithms without needing experience in data mining or SQL server configuration. The add-in contains sections for data preparation, modeling, accuracy validation, and connection. Data can be explored, cleaned, and prepared for modeling. Common modeling techniques like classification, estimation, clustering and association are supported. Accuracy of models can be validated against real data.
Excel Datamining Addin Beginner
This document discusses the Excel add-in for data mining. It allows users to mine data with a few clicks using advanced algorithms without needing experience in data mining or SQL server configuration. The add-in contains sections for data preparation, modeling, accuracy validation, and connection. Data can be explored, cleaned, and prepared for modeling. Common modeling algorithms like decision trees, clustering, and association rules are available. Accuracy and validation tools allow testing models on real data. The add-in combines the power of SQL Server Analysis Services with the ease of use of Excel.
Data Science Tools and Technologies: A Comprehensive Overview
"Data Science Tools and Technologies: A Comprehensive Overview" explores the essential tools and platforms that data scientists use to analyze, visualize, and interpret complex data. From programming languages like Python and R to advanced frameworks like TensorFlow and Hadoop, this guide covers everything needed for effective data science practice.
Knowledge Graph Construction and the Role of DBPedia
Some uses of DBPedia & Wikidata for structuring internal information. Presented at: http://wiki.dbpedia.org/meetings/TheHague2016
Social Network Analysis Introduction including Data Structure Graph overview.
Social Network Analysis Introduction including Data Structure Graph overview. Given in Cincinnati August 18th 2015 as part of the DataSeed Meetup group.
Machine Learning on the Microsoft Stack
This document provides an overview of machine learning solutions, including on-premise options using Excel add-ins, SQL Server, and R Studio, as well as cloud solutions on Azure and Predixion. It defines common machine learning roles and algorithms, discusses the R programming language, and compares features of the different solutions such as required infrastructure, complexity, costs, and capabilities.
Sem tech 2011 v8
Phil Ashworth and Dean Allemang, "Building a semantic integration framework to support a federated query "
How To Make Linked Data More than Data
Talk at Semantic Technology Conference, 2010, 23 June, 2010, San Francisco.
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain question answering, knowledge discovery, and the Semantic Web. An important prerequisite before the LOD cloud can enable these goals is allowing its users (and applications) to effectively pose queries to and retrieve answers from it. However, this prerequisite is still an open problem for the LOD cloud and has restricted it to “merely more data.” To transform the LOD cloud from "merely more data" to "semantically linked data” there are plenty of open issues which should be addressed. We believe this transformation of the LOD cloud can be performed by addressing the shortcomings identified by us: lack of conceptual description of datasets, lack of expressivity, and difficulties with respect to querying.
How To Make Linked Data More than Data
This document discusses how adding formal semantics to linked open data can make it more useful and powerful. It describes how existing linked data lacks formal semantics, limiting its capabilities. The document proposes two approaches: 1) Enriching linked data schemas using ontology matching techniques to capture relationships between datasets. 2) Developing a system called LOQUS that can perform federated queries across multiple linked datasets by decomposing queries and merging results. This would allow queries without needing intimate knowledge of each dataset's structure.
Agile Data Science 2.0: Using Spark with MongoDB
A derivative of the popular talk Agile Data Science 2.0, which focuses on how to use MongoDB with Spark to build "big data" analytics applications.
Similar to Parashar21 : What ? Why ? and How ? (20)
final-the-data-teams-guide-to-the-db-lakehouse-platform-rd-6-14-22.pdf
final-the-data-teams-guide-to-the-db-lakehouse-platform-rd-6-14-22.pdf
GeeCon Prague 2018 - A Practical-ish Introduction to Data Science
GeeCon Prague 2018 - A Practical-ish Introduction to Data Science
Debunking "Purpose-Built Data Systems:": Enter the Universal Database
Debunking "Purpose-Built Data Systems:": Enter the Universal Database
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
BIAM 410 Final Paper - Beyond the Buzzwords: Big Data, Machine Learning, What...
The Evolution of Metadata: LinkedIn's Story [Strata NYC 2019]
The Evolution of Metadata: LinkedIn's Story [Strata NYC 2019]
Building Enterprise-Ready Knowledge Graph Applications in the Cloud
Building Enterprise-Ready Knowledge Graph Applications in the Cloud
Data Science Tools and Technologies: A Comprehensive Overview
Data Science Tools and Technologies: A Comprehensive Overview
Knowledge Graph Construction and the Role of DBPedia
Knowledge Graph Construction and the Role of DBPedia
Social Network Analysis Introduction including Data Structure Graph overview.
Social Network Analysis Introduction including Data Structure Graph overview.
More from Prithwis Mukerjee
Bitcoin, Blockchain and the Crypto Contracts - Part 2
Where we explain how the cryptographic ideas are used to create a crypto asset on the block chain. This one part of a three part slide deck. For the full deck and the context please visit http://bit.ly/pm-bbc
Bitcoin, Blockchain and Crypto Contracts - Part 3
Where we explain how the concept of a crypto currency can lead to the creation of a new kind of autonomous corporation. This one part of a three part slide deck. For the full deck and the context please visit http://bit.ly/pm-bbc
Internet of Things
The document discusses opportunities and challenges presented by the Internet of Things (IoT). It describes how the IoT allows machines, people, and cloud services to connect via the internet to enable new applications and business models. However, realizing the full potential of the IoT faces challenges around connectivity, power management, security, complexity, and sensing that require innovative solutions. Texas Instruments' strategy is to provide a full range of IoT building blocks and work with partners to make the IoT accessible to everyone.
Thought controlled devices
This document discusses emerging technologies in thought control and brain-computer interfaces. It begins by noting how imagination and accomplishment are becoming closely aligned due to advances in technology. Examples are then given of existing thought-controlled wheelchairs and a robotic arm that allows a paralyzed woman to feed herself. The document outlines challenges in developing more advanced brain-computer interfaces, such as creating smaller and more sensitive hardware to communicate with the brain and software to accurately decode electrical signals. Finally, the document speculates that in 50 years human minds may be as connected as computers are today through the internet, but raises ethical questions about thought control of other individuals.
Cloudcasting
Presentation made at Engage 2013, the annual event of the Public Relations Society of India on the topic of how to create your own personal radio and TV channel
Currency, Commodity and Bitcoins
A brief introduction to the concept of the bitcoin and similar cryptocurrency. Presentation made at CII CIO conference at Mumbai in December 2013
Data Science
This document provides an introduction to data science. It discusses why data science is important and covers key techniques like statistics, data mining, and visualization. It also reviews popular tools and platforms for data science like R, Hadoop, and real-time systems. Finally, it discusses how data science can be applied across different business domains such as financial services, telecom, retail, and healthcare.
05 OLAP v6 weekend
This document provides an overview of OLAP cubes and multidimensional databases. It discusses key concepts such as star schemas, dimensions and hierarchies, cube aggregation and operators like roll-up and drill-down. It also compares the relational and multidimensional models, highlighting how multidimensional databases allow for intuitive analysis and fast retrieval of large datasets by predefining dimensional perspectives.
04 Dimensional Analysis - v6
Business Information Systems covers dimensional analysis and dimensional models. Dimensional models organize data into fact and dimension tables for understandability and ease of reporting rather than update efficiency. Facts are measures associated with business processes, while dimensions provide context. Dimensional modeling involves selecting fact tables, determining granularity, adding surrogate keys, date dimensions, and other necessary dimensions. This provides a standardized framework that responds well to changing reporting needs.
Thought control
Can a mind control a machine ? Can a machine control a mind ? Can a mind control another mind through a machine ? Explore all these fascinating possibilities in a slidedeck that I had presented at the PricewaterhouseCoopers Technology Forecast in Calcutta
Please click on the embedded Videos to see them in YouTube
World of data @ praxis 2013 v2
This document discusses the rise of data-driven management and analytics. It provides context around how tools and techniques have evolved from electronic data processing to modern capabilities like data warehousing, ERP systems, and real-time analytics using big data. Key trends highlighted include a growing focus on customer analytics, mobile analytics, social/textual analytics, predictive modeling, data visualization, self-service analytics, the maturation of Hadoop, and increasing demand for data scientists. The document also describes a business analytics program that teaches relevant statistical techniques, tools, and business domain knowledge.
BIS 08a - Application Development - II Version 2
Application Development Process. Part of the slide deck that accompanies my text book, Business Information Systems http://bis.yantrajaal.com
Lecture02 - Data Mining & Analytics
The document discusses machine learning concepts related to classification, including linear regression, decision trees, and neural networks. It provides an example of using weather data to classify whether a game will be played or not based on attributes like temperature and humidity. Rules are generated to make the classification based on patterns in the data.
ইন্টার্নেট কি এবং কেন ?
One of the earliest presentation made in Bangla to a group of school students in Nabadwip in the year 2000. The original Powerpoint presentation is no more usable because the fonts used are not available any more. However the screen shots have been preserved here.
Data mining clustering-2009-v0
This document discusses cluster analysis, an unsupervised machine learning technique. It begins by explaining that cluster analysis differs from classification in that it does not rely on predefined classes, but instead aims to group similar objects into clusters based solely on their attribute values. It then covers key aspects of cluster analysis, including how to calculate distance between objects, common distance metrics, and partitioning clustering methods like k-means which assign objects to clusters iteratively until cluster membership stabilizes.
Data mining classification-2009-v0
This document discusses classification techniques in data mining. It defines classification as separating objects into classes either before or after examining the data. The general approach is to decide on classes without looking at data, train the system on a small subset, then use rules derived from attributes to classify the full dataset. Decision trees are constructed by recursively splitting nodes based on attributes that maximize information gain and reduce uncertainty between classes. The document provides an example of building a decision tree to classify animals using attributes like eggs, pouch, flies, and feathers.
Data mining arm-2009-v0
The document discusses association rule mining and market basket analysis. It begins by describing the problem - a retailer tracking what items customers purchase together. It then provides definitions for key concepts in association rule mining like support, confidence and lifts. The goal is to discover all association rules that have minimum support and confidence thresholds. Common algorithms like Apriori are described to efficiently generate frequent itemsets and association rules from transactional data.
Data mining intro-2009-v2
This document provides an introduction to data mining. It discusses why data mining has become important due to factors like saturated markets, disloyal customers, and the need for speed. It also discusses the availability of vast amounts of data from various sources and the tools and techniques now available to process and analyze this data. Some key data mining tasks discussed include classification, clustering, association rule mining, and visualization. A variety of applications of data mining are also mentioned, such as in science, healthcare, finance, retail, and fraud detection.
PPM Lite
Project Process Methodology leading towards and SEI CMM Level 5 certification in software development
Business Intelligence Industry Perspective Session I
The document discusses business intelligence and the evolution from early manual management systems to modern performance management systems. It describes how businesses now require real-time analytics to optimize operations and gain competitive advantages. Modern business intelligence systems integrate data from various sources and use dashboards and reports to provide insights across different levels of the organization for improved decision making.
More from Prithwis Mukerjee (20)
Bitcoin, Blockchain and the Crypto Contracts - Part 2
Bitcoin, Blockchain and the Crypto Contracts - Part 2
Business Intelligence Industry Perspective Session I
Business Intelligence Industry Perspective Session I
Recently uploaded
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.Artificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic WarfarePapadakis K.-Cyber-Information Warfare Analyst & Cyber Defense/Security Consultant-Hellenic MoD
AI & Electronic WarfareEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Recently uploaded (20)
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
Parashar21 : What ? Why ? and How ?
- 1. Parashar21 What ? Why ? How ?