Big Data Tools Data Solutions Government NoSQL 
Knowledge Hut
JUNE 23, 2023
Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. 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.
Knowledge Hut
DECEMBER 27, 2023
The more effectively a company is able to collect and handle big data the more rapidly it grows. Because big data has plenty of advantages, hence its importance cannot be denied. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. We are discussing here the top big data tools: 1.
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AltexSoft
FEBRUARY 11, 2023
In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and security.
Databand.ai
DECEMBER 13, 2022
She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert. You can also watch the video recording.
ProjectPro
JANUARY 19, 2022
A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.
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