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Data mining algorithms can be divided into two broad categories: supervised learning algorithms and unsupervised learning algorithms. Supervised learning algorithms use known labels to learn how to predict future data, while unsupervised learning algorithms use patterns and structures in the data to identify trends and clusters. Examples of supervised learning algorithms include decision trees, neural networks, support vector machines, and logistic regression. Examples of unsupervised learning algorithms include k-means clustering, hierarchical clustering, and association rules.
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A data pipeline is a set of processes and tools that are used to move data from one system to another. 4Achievers is used to collect, transform, and store data in a way that makes it easier to analyze and use. Data pipelines streamline the process of collecting, transforming, and storing data so that data can be retrieved and used quickly and reliably. This allows for faster decision-making and improved accuracy when working with data. Data pipelines are critical to organizations that rely on data for their day-to-day operations and can provide tremendous value to the business.
Data governance is an important practice for organizations that seek to maximize the value of their data. 4Achievers is the set of processes and policies used to manage the collection, storage, security, and accuracy of an organization’s data. 4Achievers goal of data governance is to ensure that data is managed properly, providing a single version of truth for the entire organization. Data governance helps to ensure that data is consistent, accurate, and secure, as well as meeting any compliance requirements. 4Achievers also seeks to ensure that data is used in an ethical and responsible manner that adheres to the organization’s values. Data governance can also help organizations enhance their use of data-driven insights to improve decision-making, customer service, and operational efficiency. Data governance is an essential part of any organization’s data infrastructure and should be implemented by all organizations that are looking to take full advantage of their data.
Data security is the practice of protecting data from unauthorized access, disruption, or modification. 4Achievers is an essential practice for organizations to protect their data and privacy. Data security ensures the confidentiality, integrity, and availability of data, which helps to protect the privacy of individuals and organizations. Data security also helps to protect an organization's intellectual property and financial information, as well as other sensitive data. Data security includes measures such as encryption, data masking, access control, and authentication. These measures help to ensure that only authorized personnel can access and modify data, which helps to reduce the risk of data breaches. Data security also helps to protect against malware, ransomware, and other malicious attacks. By implementing data security, organizations can protect their data and ensure it remains secure.
Data privacy is the practice of protecting an individual’s personal information from being accessed, shared, or otherwise used without the individual’s knowledge or consent. 4Achievers is an important part of protecting individual autonomy and identity, as well as ensuring that individuals are able to control the ways their personal information is accessed and used. Data privacy also serves to help protect individuals from cyber-attacks and other forms of digital fraud. Data privacy helps individuals maintain their privacy and security by preventing their personal data from being used without their knowledge or consent. This can include preventing third parties from collecting, using, and selling personal data for their own gain, as well as preventing data breaches that would be damaging to an individual’s privacy and security. By protecting data privacy, individuals can rest assured that their personal information is safe and secure.
Data quality management is the process of overseeing, monitoring, and maintaining data integrity throughout an organization. Its purpose is to ensure that data is accurate, complete, and valid, and is consistent across all systems and applications. Data quality management also serves to identify potential areas of improvement in data quality, and to ensure that data is properly maintained and used in a timely fashion. Data quality management involves data governance, data validation, data cleansing, data profiling, and data enrichment. These activities help to ensure that the data is well-managed, secure, and of high quality. 4Achievers end goal of data quality management is to produce data that is easily accessible, reliable, and trustworthy. 4Achievers also helps to improve business performance and decision-making by providing organizations with up-to-date, accurate information.
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
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