Volume 9 | Issue 7 | July-2021

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Art and Humanities

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Art and Humanities

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Creative Commons Attribution 4.0 and The Open Definition

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In today's fast-paced digital landscape, the need for real-time data integration is paramount for organizations aiming to stay competitive and responsive to market changes. Real-time data integration allows businesses to access, analyze, and act on data as it is generated, enabling timely decision-making and operational efficiency. This paper explores the integration of Talend Cloud and Snowflake as a powerful combination for achieving seamless real-time data integration. Talend Cloud, with its robust ETL (Extract, Transform, Load) capabilities, and Snowflake, a highly scalable cloud data platform, together offer a comprehensive solution for handling large volumes of data with agility and precision. The first part of the paper delves into the challenges organizations face in real-time data integration, such as data latency, scalability issues, and the complexity of integrating diverse data sources. Traditional ETL tools often struggle with the demands of real-time data processing due to their inherent batch-oriented nature. This is where Talend Cloud's ability to perform real-time data streaming and its integration with a variety of data sources and formats becomes critical. Talend Cloud's architecture supports scalable, distributed processing, which is essential for handling the massive data flows that modern enterprises encounter. Snowflake, on the other hand, provides a cloud-native data warehousing solution that excels in performance and scalability. Its unique multi-cluster architecture separates storage from compute, allowing for dynamic scaling based on workload requirements. This separation ensures that real-time data integration processes do not bottleneck due to storage limitations or compute resource constraints. Additionally, Snowflake's support for semi-structured data formats like JSON, Avro, and Parquet makes it an ideal platform for integrating diverse data types in real time. The integration of Talend Cloud with Snowflake is facilitated through native connectors that enable seamless data flow between the two platforms. This integration allows organizations to design and deploy data pipelines that ingest, process, and store data in Snowflake in real time. The paper discusses the key features of this integration, including real-time data ingestion, automated data transformation, and the ability to scale data processing tasks dynamically. It also explores the benefits of using this combination, such as reduced data latency, improved data quality, and enhanced operational efficiency. Furthermore, the paper presents several case studies highlighting the successful implementation of real-time data integration using Talend Cloud and Snowflake in various industries, including finance, healthcare, and retail. These case studies demonstrate how organizations have leveraged the power of real-time data to drive innovation, improve customer experiences, and optimize business processes. In conclusion, the paper emphasizes the importance of adopting a robust real-time data integration strategy in today's data-driven world. The combination of Talend Cloud and Snowflake offers a scalable, efficient, and flexible solution for organizations looking to harness the full potential of their data in real time. By leveraging these technologies, businesses can achieve faster time-to-insight, enhance their decision-making capabilities, and gain a competitive edge in their respective industries.

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Creative Commons Attribution 4.0 and The Open Definition

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Real-time data integration, Talend Cloud, Snowflake, ETL, cloud data platform, data latency, scalability, data pipelines, data ingestion, data transformation, operational efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

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The virtual banking term has been mindful of the Indian foundation over the long haul. Most banks have created v-banking offices, as both banks and buyers benefit from these offices. The banks deal with numerous issues and there are a lot of possibilities with the banks. The essence of Indian banks is changed by different financial advancements, for example, Automated Teller Machines, Real Time Gross Settlement, charge and Mastercards, phone banking and so on. This has provoked bankers to variety their essential position from "traditional banking to banking solace" and "mass banking to class banking," which is a change in context from the vender market to the purchasers' market in the business. The move has additionally worked on the bank openness of an average person in accordance with his fluctuated requests and needs. In the following couple of years e-banking isn't just adequate but at the same time is inclined toward. The present banking environments vigorously draw upon cooperative biological systems importance, hundreds and thousands of organized PCs and other associated gadgets. Add Social, Cloud, Mobile and different channels into the constantly developing blend and we are looking at overseeing financial weaknesses on a previously unheard of scale. Truth be told, today the virtual banking change drives the Cyber Security Industry to ceaselessly make more grounded security and consistence arrangements able to scale on request. Regardless of how the network safety and banking advancements mix together tomorrow, the quantity of digital exchanges will be affected by how secure (and how alone) we feel in our 'digital homes' today. While more can be examined about difficulties and potential open doors material to digital time banking, yet banks that get ready to hold onto the globe's second biggest digital market (yet developing) balanced out by the ongoing well known government and a steady controller put resources into underwriting the worldwide digital economy will ultimately succeed. Hence, the current study aimed to highlight the problems faced by the users of Virtual Banking services in India.

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Seller & Buyer Markets,Digital Banking, Cyber Security, Banking Environment, Digital Market, Financial Vulnerabilities and Digital Transactions.

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The history of the growth and development of sects and various sub-sects in Jain tradition responded to the requirements and tendencies of different times the Jain texts like Bhagyavati, Visesavasyaka, Bhashya, and Sthananaga, show that there were schimes in Mahavira. The first Bahurata schism is attributed to Jamali, the son in law of Mahaveera, the second Jivapradesha-Schism to Tisyagupta then schisms appeared in Jainism a few centuries offer the Nirvana of Mahaveera. According to Svetambara the Jain order was divided in to two sects 609 years after the death of Mahaveera, by Sivabhuti, a resident of Rathavirapura, who was a disciple of Kancha. J. L Jaini quetes: 'The division of the Jain community in the two sects of svtambara, "write-robed" and Digambar as "sky-robed" i.e. naked, took place according to their concurrent, testimony, 609 years after Mahaveera i.e. about 80 A.D. Basham, A.L. views that " Out of this migration arose the great schism of Jainism on a point of monastic discipline Bhadrabhanu, the elder of the community, who had led the emigrants and had insisted on the retention of the rule of nudity which Mahaveera had estanlished. Stulabhadra, the leader of the monks who had remained in the north, allowed his followers to wear write garments owing to the hardships and confusion of the famine. Hence, arose the two sects of Jains, the Digambaras and the svetambras the Schism did not become final until the 1st Century. A.D.

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A STUDY OF DIGAMBARA - MAIN SECT OF JAINISM

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Cloud computing has revolutionized how organizations deploy and manage IT infrastructure, offering unprecedented scalability, flexibility, and cost-efficiency. As businesses increasingly migrate to the cloud, optimizing cloud architectures for enhanced performance has become critical. This paper provides a comparative analysis of various cloud architectures, focusing on performance optimization techniques across different platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The study examines architecture patterns such as microservices, serverless computing, and containerization, evaluating their impact on performance metrics like latency, throughput, and resource utilization. Key strategies for optimization, including load balancing, caching, and auto-scaling, are discussed in detail, highlighting their effectiveness in different cloud environments. Additionally, the paper explores emerging trends and technologies, such as edge computing and AI-driven optimizations, that promise further enhancements in cloud performance. Through empirical analysis and case studies, the research identifies best practices and recommendations for organizations seeking to optimize their cloud architectures. This study aims to equip IT professionals and decision-makers with the insights needed to make informed decisions in designing and managing cloud systems that deliver superior performance.

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Cloud computing, performance optimization, microservices, serverless computing, containerization, AWS, Azure, GCP, load balancing, auto-scaling, edge computing

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Creative Commons Attribution 4.0 and The Open Definition

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The banking industry has experienced an unprecedented level of consolidation on a belief that gains can accrue through expense reduction, increased market power, reduced earnings volatility, and scale and scope economies. A review of the literature suggests that the value gains that are alleged have not been verified. The paper seeks to address key challenges; an attempt has been made to highlight amalgamation of various public sector banks. Recently, a new thread of the literature has developed which seeks to understand individual cases, looking into the process of change for a particular merger.

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Amalgamation, Mergers, NPAs & Public sector Banks

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Insurance is a financial risk management tool in which the insured transfers a risk of potential financial loss to the insurance company that mitigates it in exchange for money compensation known as premium. Insurance sector in India is one of the fastest growing sectors in the economy. The insurance sector in India has completed a full circle from an open competitive market to nationalization and back to a liberalized market once again. With the entry of private life insurance companies in the year 2000-01, the competition is becoming tougher day by day. The objective of present study is to compare public and selected private sector life insurance companies in India in the post liberalization era. Therefore, 23 private sector insurance companies and one public sector company i.e. Life Insurance Corporation of India have been selected and data has been analysed by mean, standard deviation, coefficient of variance (CV) and compound growth rate (CGR). In this the data was collected from the year 2000-01 to 2020-21 year and analysed. Hence, it is found that insurance sector in our country has a significant contribution for economic development of our country as it provides long-term funds for infrastructure development and at the same time it helps strengthening the risk taking ability of the country. During the deregulation period, due to emergence of a large number of private insurers, the insurance penetration and insurance density have increased significantly both in respect of life-insurance and non-life insurance business.

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public sector, private sector, life insurance, comparision

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An automated analyzer is a medical laboratory instrument designed to measure various substances and other characteristics in several biological samples quickly, with minimal human assistance. These measured properties of blood and other fluids may be useful in diagnosing disease. These types of analyzers use micro-stepping motors for positioning the samples at equal intervals. Micro stepping is a method of controlling stepper motors, typically used to achieve higher resolution or smoother motion at low speeds. The movement of each step is precise and repeatable; therefore the motor's position can be controlled precisely without any feedback mechanism, as long as the motor is carefully sized to the application. This type of control eliminates the need for expensive sensing and feedback devices such as optical encoders. The position is known simply by keeping track of the input step pulses. It is one of the most versatile forms of positioning systems. The rotational motion of the stepping motor increases from one equilibrium position to the next. Therefore, the speed of a stepper motor is a function of the frequency at which the windings are energized. The drive design required to drive the stepper motor is taken into account with the choice.

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Biomedical, stepper Motor, Micro driver, arduino, controlling, Micro steps, Instrumentation, Control System.

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Sustainable finance is a financial approach that incorporates environmental, social, and governance (ESG) factors into the decision-making processes of institutions. Its goal is to promote economic growth while addressing critical global issues such as climate change, social injustice and business governance concerns. It seeks to help the global economy become more resilient, fair, and environmentally sustainable by investing money sustainably. The main goal is to boost economic growth while also dealing with important world problems like Climate change, issues of social injustice, and problems with business governance. Despite progress, challenges such as inadequate transparency standards, limited investor awareness, and regulatory inconsistencies persist globally, including in India. Overcoming these challenges requires collaborative efforts to improve disclosure standards, broaden ESG data availability and promote investor education. This paper provides an in-depth analysis of sustainable finance including its definition, goals, approaches, tools, legislation, challenges, and recommendations.

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Green bonds, social bonds, sustainable linked loan

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Creative Commons Attribution 4.0 and The Open Definition