• Kang siswa
• 2022 December 05 12:31
• Big Data

Big data is a buzzword that is changing how businesses operate in the 21st century. The financial industry, particularly banking, has not been left behind in this data revolution. Banks, like many other businesses, have realized the importance of big data analytics in improving customer satisfaction, identifying risks, and predicting trends. Big data refers to the massive volume of structured and unstructured data that banks collect from various sources, including social media, online banking transactions, mobile devices, and other digital platforms. This essay explores how big data is transforming banking, the challenges that banks face when adopting big data analytics, and the opportunities that big data presents to banks.

• Mister siswa
• 2022 November 27 17:02
• Hadoop

Today, Hadoop is a well-liked answer to the problems of the modern world. Hadoop was created with a number of objectives in mind. These include data localization, management of huge datasets, fault tolerance, and portability across many hardware and software platforms, among others. We shall thoroughly examine the Hadoop Architecture in this blog. In order to help you comprehend it better, we will also show you the Hadoop Architecture Diagram.

• Mister siswa
• 2022 November 25 10:04
• Hadoop

An open source software platform called Apache Hadoop stores data in a distributed fashion and processes it concurrently. Hadoop offers the most dependable batch processing engine, MapReduce, as well as the most trustworthy storage layer, HDFS, and resource management layer, YARN. In this lesson on "How Hadoop works internally," we will learn what Hadoop is, how it functions, its many parts, daemons, the functions of HDFS, MapReduce, and Yarn in Hadoop, as well as other procedures to comprehend how it functions.

• Mister siswa
• 2022 November 21 13:41
• Hadoop

Hadoop and Spark are two well-known big data technologies that were developed by the Apache Software Foundation. In order to handle, manage, and analyze enormous volumes of data, each framework has access to a robust ecosystem of open-source tools.