Knowledge Hut
APRIL 23, 2024
The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. While punch cards were designed in the 1720s, Charles Babbage introduced the Analytical Engine in 1837, a calculator that used the punch card mechanism to process data.
Edureka
FEBRUARY 9, 2023
Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.
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Knowledge Hut
NOVEMBER 2, 2023
An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.
Edureka
JUNE 1, 2023
Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems. AWS Data Analytics Services AWS provides thorough, safe, scalable, and economical data analytics services.
ProjectPro
JANUARY 19, 2022
Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools.
Knowledge Hut
DECEMBER 13, 2023
SAPC The HANA-in memory SQL server is the SAPC's primary big data tool; however, it also offers several analytics tools. This tool can process up to 80 terabytes of data. With the aid of Hadoop, SAPC assists the company in converting a sizable amount of Big Data into actionable insight.
ProjectPro
SEPTEMBER 26, 2021
Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.
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