Data Storage ETL Tools NoSQL SQL 
Knowledge Hut
DECEMBER 26, 2023
According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Certain roles like Data Scientists require a good knowledge of coding compared to other roles. In other words, they develop, maintain, and test Big Data solutions.
Knowledge Hut
MAY 9, 2024
Highest Paying Data Science Job Titles Studies suggest the data scientists' employment rate will surge to 36% by 2031. While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. They manage data storage and the ETL process.
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Knowledge Hut
NOVEMBER 3, 2023
The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Why Use MongoDB for Data Science?
Monte Carlo
NOVEMBER 20, 2023
But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.
Knowledge Hut
NOVEMBER 28, 2023
Kafka is great for ETL and provides memory buffers that provide process reliability and resilience. SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. ETL is central to getting your data where you need it.
Knowledge Hut
NOVEMBER 19, 2023
As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.
Knowledge Hut
OCTOBER 3, 2023
Candidates must, however, be proficient in programming concepts and SQL syntax prior to starting the Azure certification training. Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts.
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