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

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. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets. Rely on the real information to guide you.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 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

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. It is developed in Java and built upon the highly reputable Apache Lucene library. What is Elasticsearch? The engine’s core strength lies in its high-speed, near real-time searches.

Engineering 52

Engineering NoSQL Programming Language Java 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. to decide which non-relational NoSQL database requests to perform to MongoDB. Back-end development skills include Node, Python, PHP, Java, Go/Golang, Ruby on Rails, Django, Google Cloud Platform, and Laravel.

MySQL 52

MySQL MongoDB Programming Language Computer Science 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

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. GCP Storage Google Cloud storage provides high availability.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JUNE 16, 2023

The most popular databases for which data analysts need to be proficient are SQL and NoSQL databases. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial. Using databases efficiently is an important data analyst technical skill.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 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. Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Confluent

MARCH 4, 2019

With careful consideration, one of the startups was selected to build the first release of Genesis in the cloud, due to their experience in creating cloud-native applications using Java—the same programming language used to create Genesis. We had this problem while developing Genesis for on-prem. CTO of CloudBank.

Cloud 86

Cloud Banking Kafka NoSQL 86

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

ProjectPro

JUNE 17, 2015

2) NoSQL Databases -Average Salary$118,587 If on one side of the big data virtuous cycle is Hadoop, then the other is occupied by NoSQL databases. 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.

Cloud Computing 40

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

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

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

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. What is Google BigQuery?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

NOVEMBER 15, 2021

Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. To execute pipelines, beam supports numerous distributed processing back-ends, including Apache Flink, Apache Spark , Apache Samza, Hazelcast Jet, Google Cloud Dataflow, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JULY 12, 2021

A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. They should be familiar with programming languages like Python, Java, and C++. Learn how to code in Python, Java, C++, or any other OOP language.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 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 Scala 52

Confluent

SEPTEMBER 20, 2019

For example, instead of simply asking you to use the Kafka Streams API in your own Java applications, a managed service should provide a way to implement streaming processing in a much faster runtime with KSQL. Native support for KSQL in Confluent Cloud. You would miss project deadlines due to technical difficulties.

Kafka 21

Kafka Management Cloud AWS 21