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The New Frontier: Defining the LLMOps Paradigm The rapid proliferation of Large Language Models (LLMs) has catalyzed a fundamental shift in the field of artificial intelligence, moving from predictive models Read More …
Executive Summary The proliferation of the Modern Data Stack (MDS) has equipped organizations with unprecedented agility, scalability, and cost-efficiency in their data operations. However, this very agility, born from a Read More …
The below glossary provides a broad overview of key terms in the field of data science and machine learning, covering various concepts, techniques, and algorithms used in data analysis, machine Read More …
In the field of data analysis, several technologies play a significant role. Here are some key technologies you should consider learning: Programming Languages: Python: Widely used for data analysis and Read More …
In today’s data-driven world, the amount of information we generate and collect is staggering. This vast sea of data, known as big data, holds immense potential for insights, innovation, and Read More …
What is the difference between a database, data warehouse, data mart, data lake, and data lakehouse? The terms database, data warehouse, data mart, data lake, and data lakehouse Read More …
Introduction In today’s data-driven world, businesses and organizations rely on a wide range of data formats to make informed decisions and drive innovation. Among the myriad data formats available, Avro, Read More …
Who is a Data Analyst? A Data Analyst is a professional who collects, organizes, interprets, and analyzes data to extract meaningful insights and support decision-making processes within an organization. They Read More …
What is Big Data? Big data is data that is very large in size. In general, big data refers to ZETTABYTES or TERABYTES of data. And Big Data is a Read More …
Nowadays huge volumes of data is being generated due to growth of manufacturing, Information – Technology, Automation and also due to common people using mobiles and laptops for banking as Read More …