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Backing up the database in MS SQL Server is vital to safeguard and recover the data in case of scenarios, like hardware failure, server failure, database corruption, etc. MS SQL Server provides different types of backups, such as differential, transactional, and full backup. A full backup allows you to restore...
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In the realm of database offerings, where data is the lifeblood of modern businesses, constructing resilient systems isn't just a best practice; it's a strategic imperative. Disaster recovery planning has become a cornerstone in ensuring the continuity of operations, safeguarding valuable data, and minimizing the impact of unexpected events. This...
ButterCMS is a cloud-based, API-first, headless CMS that enables you to rapidly build CMS-powered apps and websites. It has an easy-to-use dashboard for creating and managing content. It comes with a prebuilt, API-first blog engine that is SEO-optimized out-of-the-box, which enables you to quickly build and integrate a functional blog...
GPUs, or Graphics Processing Units, are important pieces of hardware originally designed for rendering computer graphics, primarily for games and movies. However, in recent years, GPUs have gained recognition for significantly enhancing the speed of computational processes involving neural networks. GPUs now play a pivotal role in the artificial intelligence...
SQL is the predominant language for database queries, and proficiency in SQL is important for accurate data querying. This requires a comprehensive understanding of the sequence in which SQL executes its clauses. Debugging your SQL script effectively and creating precise queries necessitates knowledge of how a database interprets and executes...
As a data analyst, it is our responsibility to ensure data integrity to obtain accurate and trustworthy insights. Data cleansing plays a vital role in this process, and duplicate values are among the most common issues data analysts encounter. Duplicate values can potentially misrepresent insights. Therefore, it is crucial to...
Machine learning is a type of artificial intelligence that allows models to learn from data by identifying patterns in existing datasets and using them to make predictions on unseen or unknown data. Model Generalization is a crucial trait that must be present in ML models trained and deployed in production....
In the field of Natural Language Processing (NLP), one of the fundamental tasks is Parts of Speech (PoS) tagging. PoS tagging involves assigning grammatical categories, like nouns, verbs, adjectives, etc., to words in a sentence. This process plays an important role in many NLP applications, including text analysis, information retrieval,...
Machine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without being explicitly told how to do it. It aims to create systems that automatically improve with experience and data. This can be achieved through supervised learning,...
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