Knowledge Hut
MARCH 22, 2024
According to the 2020 Workplace Learning Report by LinkedIn, cloud computing ranked as the second-most crucial hard skill demanded by employers. According to a survey conducted by Global Knowledge, AWS Certified Solutions Architect - Associate was ranked as the top-paying IT certification in 2020.
Cloudera
JANUARY 26, 2022
Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.
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Knowledge Hut
DECEMBER 21, 2023
Few benefits of Cloud computing are listed below: Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data. A data redundancy layer, a blockchain layer, and a verification and recovery layer make up the mechanism.
Knowledge Hut
DECEMBER 26, 2023
As day-to-day cyber-crimes are increasing, it always puts cyber security in a demanding state. If you see the past reports, every year, many private or government organizations are affected by cyber-attacks and data breaches. cybercrime is on the rise.
Knowledge Hut
MAY 31, 2023
Cloud Security Skills One of the major concerns expressed by business owners and CXOs about the adoption of cloud computing is data security – particularly when it comes to sensitive or personal data. Top on our list of skills required for cloud computing therefore is cloud security skills. Take a look!
Knowledge Hut
NOVEMBER 28, 2023
Who is a Data Architect? This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. Skills alone are not enough to compete in this cutthroat competition.
Knowledge Hut
JUNE 23, 2023
You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. There is a massive increase in demand for data engineering jobs.
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