Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. Data Science is a combination of several disciplines including Mathematics and Statistics, Data Analysis, Machine Learning, and Computer Science.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

DECEMBER 5, 2023

computer science, information technology, electrical engineering), it typically takes four years to complete your undergraduate studies. Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g., SAN, NAS), Network equipment (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education. She holds a Computer Science degree, and has authored eight patents. deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Rockset

JUNE 7, 2021

Translating the commands from source to target can be tricky especially if you’re capturing changes to a SQL database and reflecting them in a NoSQL database, as the way commands are written are different. The system needs to deal with transactional systems where changes are only applied on commit.

IT 40

IT Kafka Database MongoDB 40

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Key education and technical skills include: A degree in computer science, information technology, or a related field Expert in programming languages Python, Java, and SQL.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JANUARY 23, 2024

Proficiency with Linux, PHP, Apache, MySQL, Express.js, Node.js, AngularJS, and other technologies is crucial for backend development. According to some, a college degree in computer science or a closely related field may be required. sends the requests to the database (MongoDB) and the acquired data back to Node.js.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Oracle Certified Professional, MySQL 8.0 You can read here about best MySQL certification. Skills acquired : Install and configure MySQL client and server programs.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Later move on to more advanced topics.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

APRIL 25, 2024

Education and Work Experience Needed for Backend Developer The backend developer must possess a bachelor's degree in computer science or a related field. The applicant will be familiar with Linux, MySQL, and Apache, in addition to Flask and SQLAlchemy. Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc.,

Programming Language 98

Programming Language Java Algorithm MySQL 98

U-Next

AUGUST 11, 2022

Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). These are just a few non-technical skills for Data Science that can prove to be handy. . Conclusion.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? A data scientist and data engineer role require professionals with a computer science and engineering background, or a closely related field such as mathematics, statistics, or economics.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40