Knowledge Hut

MARCH 20, 2024

Handling databases, both SQL and NoSQL. Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake. Core roles and responsibilities: I work with programming languages like Python, C++, Java, LISP, etc., Proficiency in programming languages, including Python, Java, C++, LISP, Scala, etc.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. NoSQL databases don't always offer the same data integrity guarantees as a relational database, but they're much easier to scale out across multiple servers.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. Let’s get started!

AWS 52

AWS Google Cloud Amazon Web Services Cloud Storage 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 89

Cloud Banking Kafka NoSQL 89

Knowledge Hut

DECEMBER 26, 2023

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

AltexSoft

FEBRUARY 11, 2023

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. The exam is delivered through the AWS testing center network and is typically proctored in person.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Confluent

SEPTEMBER 20, 2019

Imagine that a developer needs to send records from a topic to an S3 bucket in AWS. Implementation effort to send records from a topic to an AWS S3 bucket. There are different connectors available, such as ActiveMQ, HDFS, JDBC, Salesforce, cloud storage (GCP, Azure, and AWS), IBM MQ, and RabbitMQ, to name a few.

Kafka 21

Kafka Management Cloud AWS 21

Knowledge Hut

NOVEMBER 7, 2023

A virtual desktop infrastructure or (VDI) service for school management is offered by AWS Cloud by Amazon for Primary Education and K12. Amazon Web Services (AWS) Amazon Web Services or AWS is a subsidiary of Amazon. Java, JavaScript, and Python are examples, as are upcoming languages like Go and Scala.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

DoorDash Engineering

JANUARY 30, 2024

Before we dive into those details, let’s briefly talk about the basics of Cassandra and its pros and cons as a distributed NoSQL database. Apache Cassandra is an open-source, distributed NoSQL database management system designed to handle large amounts of data across a wide range of commodity servers. What is Apache Cassandra?

NoSQL 84

NoSQL Database Systems Relational Database 84

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. Learn about the AWS-managed Kafka offering in this course to see how it can be more quickly deployed. This learning path covers the basics of Java, including syntax, functions, and modules.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

OCTOBER 8, 2024

Common backend languages include Python, Java, or Node.js, and there are well-established frameworks like Django and Express. Server-side languages: Python, Java, or with the help of Node.js, so on and so forth, languages to write the code that can perform tasks on the server side, like data operations and authentication.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. Amazon Web Services (AWS), Microsoft, Google, IBM, Oracle, Accenture, Deloitte, Facebook, Netflix. Python, Java). Let’s get started.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

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. Step 4 - Who Can Become a Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

AUGUST 9, 2018

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. Differentiate between on-demand instances and spot instances.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment. You must be familiar with networking.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Rockset

APRIL 3, 2020

The various components of the architecture labelled by numbers in the diagram above have been explained briefly below: Mobile client The mobile client has been built on top of the sample code provided by AWS. It makes use of the AWS IoT APIs to securely publish-to MQTT topics. This identity is then used to authenticate to AWS IoT.

Data Pipeline 40

Data Pipeline Systems Management NoSQL 40

Edureka

JULY 16, 2024

Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node. js, React and Angular as the front-end technology stack, Python and Ruby on Rails as the backend technology stack, and SQL or NoSQL as a database architecture.

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

Monte Carlo

OCTOBER 31, 2024

Both traditional and AI data engineers should be fluent in SQL for managing structured data, but AI data engineers should be proficient in NoSQL databases as well for unstructured data management.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Edureka

AUGUST 29, 2024

Learn Key Technologies Programming Languages: Language skills, either in Python, Java, or Scala. Databases: Knowledgeable about SQL and NoSQL databases. Projects: Engage in projects with a component that involves data collection, processing, and analysis. Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database?

Big Data 52

Big Data Hadoop Relational Database AWS 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? How can you fix this?

NoSQL 52

NoSQL Java MongoDB Programming 52

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Rockset

AUGUST 12, 2019

DynamoDB is a fully managed NoSQL database provided by AWS that is optimized for point lookups and small range scans using a partition key. AWS knows this and has answered customers requests by creating DynamoDB Streams , a change-data-capture system which can be used to notify other services of new/modified data in DynamoDB.

NoSQL 40

NoSQL AWS SQL Database 40

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

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Good skills in computer programming languages like R, Python, Java, C++, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Machine learning engineer: A machine learning engineer is an engineer who uses programming languages like Python, Java, Scala, etc. A machine learning engineer or ML engineer is an information technology professional.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Workfall

NOVEMBER 29, 2022

It is classified as a NoSQL (Not only SQL) database because data in MongoDB is not stored and retrieved in the form of tables. Meanwhile… If you are an aspiring MongoDB Developer and want to explore more about the above topics, here are a few of our blogs for your reference: How to build and deploy a MERN Stack Application on AWS?

MongoDB 52

MongoDB Database NoSQL SQL 52

Edureka

MAY 6, 2024

Step 1) Learn Programming Language Start by choosing a programming language you’re comfortable with, such as Python, Java, Scala, or Ruby. Step 3) Gain knowledge about databases Learn about databases and their management systems, like SQL and NoSQL databases.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Edureka

OCTOBER 7, 2024

You should also know DBMS and basics of SQL(Structured Query Language) and NoSQL databases because databases play an important role in storing and retrieving data in backend development. Java Java is a sturdy object-oriented language, which for a long time served as a backbone of backend development. js, Python, or Java.

Programming Language 40

Programming Language Java Portfolio Computer Science 40

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. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 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

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 Data Science Data Analytics Cloud Computing 52

Knowledge Hut

DECEMBER 27, 2023

Written in Java it provides cross-platform support. This NoSQL, document-oriented database is written in C, C++, and JavaScript. Supports a cloud-based environment (works well with AWS). Pros: Open-source Java core. We are discussing here the top big data tools: 1. and later versions), Linux, Solaris, and FreeBSD.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

APRIL 8, 2015

AWS Elastic MapReduce renders an easy to use and well organized data analytics platform built on the powerful HDFS architecture. With major focus on map/reduce queries, AWS EMR exploits Hadoop tools to a great extent by providing a high scale and secure infrastructure platform to its users. Image Credit: randomramblings.postach.io

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40