Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

NOVEMBER 20, 2023

Cloud Services : Platforms like AWS Database Migration Service or Google Cloud’s BigQuery Data Transfer Service provide cloud-based migration solutions. Hibernate (Java) : An ORM framework that provides tools for database-independent application development.

MongoDB 52

MongoDB ETL Tools Database Data 52

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

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

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. IBM Big Data Hadoop Course also comes with free Java and Linux courses.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

NOVEMBER 7, 2023

Google Cloud Google Cloud is a dependable, user-friendly, and secure cloud computing solution from one of today's most powerful technology companies. Despite having a smaller service portfolio than Azure, Google Cloud can nonetheless fulfill all of your IaaS and PaaS needs.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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. Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 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

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

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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 MongoDB Certification 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on Google cloud platform Google Cloud is one of the best data science learning platforms. From data engineering to ML engineering, TensorFlow to PyTorch, GPUs to TPUs, data science on Google Cloud helps your business run faster, smarter, and at planet scale. can take up lots of memory 3.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

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

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. In former times, Kafka worked with Java only. The Good and the Bad of Java Development.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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 Finance Consulting 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

ProjectPro

JUNE 17, 2015

According to Dice, the number of big data jobs for professionals with experience in a NoSQL databases like MongoDB, Cassandra and HBase has increased by 54% since last year. The big data phenomenon is just incomplete without the use of popular NoSQL databases like MongoDB, Cassandra, HBase Neo4j, CouchDB, Riak and Redis.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

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. They get used in NoSQL databases like Redis, MongoDB, data warehousing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

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). Collection happens in the Kafka topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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 Scala 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. Native support for KSQL in Confluent Cloud.

Kafka 21

Kafka Management Cloud AWS 21