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Basics of Data Structures and Algorithms in C++

Knowledge Hut

Understanding data structures and algorithms (DSA) in C++ is key for writing efficient and optimised code. Some basic DSA in C++ that every programmer should know include arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms like quicksort and merge sort, and search algorithms like binary search.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Look for a suitable big data technologies company online to launch your career in the field.

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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData: Data Engineering

Data lakes have emerged as a popular solution, offering the flexibility to store and analyze diverse data types in their raw format. However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. What is a Data Lake?

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Difference Between Data Structure and Database

Knowledge Hut

In this article, I will explore the unique roles of database vs data structure, uncovering their differences and how they work together to handle information in the world of computers. An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database.

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How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

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How to get datasets for Machine Learning?

Knowledge Hut

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems.

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Top 10 Cloud Computing Research Topics of 2024

Knowledge Hut

Why Cloud Computing is Important for Data-driven Business? The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. It also includes an evolutionary algorithm for future improvement.