ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Experience with using cloud services providing platforms like AWS/GCP/Azure. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 28, 2023

Database technology involves storing and retrieving data, such as MySQL and MongoDB. Web developers need to be proficient in back-end programming languages like PHP, Java, Ruby, and.NET. They must also be familiar with AWS, Google Cloud, and Digital Ocean hosting providers.

Programming Language 52

Programming Language Python Certification MongoDB 52

Knowledge Hut

NOVEMBER 28, 2023

They use programming languages such as C++, Java, Python, and JavaScript to create software for various industries and applications. Cloud Engineer These developers design, build and maintain cloud-based systems and infrastructure. This includes web development, mobile apps, video games, and more.

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineer 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Monte Carlo

NOVEMBER 20, 2023

Popular categories of migration tools include: Database Management Systems (DBMS) : Tools like MySQL Workbench or Microsoft SQL Server Management Studio offer built-in migration assistants. Hibernate (Java) : An ORM framework that provides tools for database-independent application development.

MongoDB 52

MongoDB ETL Tools Database Data 52

Knowledge Hut

JUNE 16, 2023

Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Data Science Data Analytics Cloud Computing 52

Edureka

JULY 16, 2024

Programming Languages: Proficiency in server-side logic and application development using Python, PHP, Ruby, Java, or JavaScript (Node.js). MySQL, PostgreSQL) or NoSQL databases (e.g., Backend skills include proficiency in server-side programming languages such as Python, PHP, Ruby, Java, and JavaScript (Node.js).

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

AltexSoft

NOVEMBER 7, 2022

For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

AUGUST 24, 2021

Finally, the data is published and visualized on a Java-based custom Dashboard. Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). for building effective workflows.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

MARCH 27, 2024

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Easy to implement with MySQL, JSON, and highly flexible. Configure Azure, AWS, and Google Cloud services simultaneously.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

Technical Skills Programming languages: Strong knowledge of HTML, CSS, JavaScript, and at least one backend language such as PHP, Python, Ruby, or Java. Database management: Understanding database management systems such as MySQL, MongoDB, and SQL Server.

Programming Language 52

Programming Language Healthcare Consulting Finance 52

Edureka

JANUARY 12, 2024

How to crack full stack Java developer Interview? Java is a mature and robust language popular for enterprise applications and known for its scalability and security. Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. In Java, what is a connection leak?

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. It supports six database engines, i.e. MySQL, Postgres, Amazon Aurora, MariaDB, Microsoft SQL Server, Oracle.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

U-Next

JULY 2, 2022

It is imperative to understand that languages like PHP, Java, and.NET are instrumental in unlocking the potential of cloud computing. It is no secret that Google Cloud Platform and OpenStack enjoy a stranglehold on the big data and software development markets. Conclusion.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions.

Big Data 52

Big Data Certification Hadoop Kafka 52

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). 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. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

DECEMBER 22, 2023

Programming languages such as Java, Python, and PHP are a must on the list of back-end development skills. Some popular choices include MySQL, MongoDB, Oracle Database, and SQLite. Some popular servers you need to learn the usage of are Heroku, Google cloud platform, Amazon web services, and Microsoft Azure.

Recruitment 98

Recruitment Portfolio Programming Language Python 98

Knowledge Hut

DECEMBER 23, 2023

These elements are included in the back-end stack: Programming Languages : Java, PHP, and Python JavaScript: This is a powerful programming language that you can use to create complex web applications. It's also very popular, so you'll be able to find lots of job opportunities if you know java full stack developer skills.

Programming Language 52

Programming Language Java MongoDB MySQL 52

Knowledge Hut

DECEMBER 26, 2023

Mid-Level Jobs Mid-level Java full stack developer jobs in USA have experience of 3-5 years in web development. The data that the web server may obtain an offer based on the user's individual request is stored in the MySQL database (a relational database management system). The request is then processed by Node.js

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Knowledge Hut

NOVEMBER 28, 2023

Otherwise, you can also opt for a Java Full Stack Developer course online to learn the tools, technologies and frameworks essential for web development to acquire basic programming skills. One of the priorities is to improve your Math skills since Computer Science depends on mathematical concepts like logic, arithmetic, probability, etc.

Recruitment 52

Recruitment Computer Science Java PostgreSQL 52

Knowledge Hut

DECEMBER 22, 2023

This person may work with architects who design cloud infrastructure on networking or cloud teams. Who is a Cloud Network Engineer? A Professional Cloud Network Engineer works closely with Google Cloud's network architecture team to design, implement, and manage cloud networks.

Cloud 52

Cloud Engineering Amazon Web Services Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

IntelliJ Idea A popular editor for Java-based application development. Maven for Java Helps Java-based projects for package management. For example, java front-end tools might differ from python tools. Java A general-purpose programming language.NET Another popular framework for creating all kinds of apps.

MongoDB 98

MongoDB Programming Language Java Python 98

Databand.ai

DECEMBER 20, 2022

Follow Martin on LinkedIn 5) Aishwarya Srinivasan Data Scientist - Google Cloud AI Aishwarya is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52