Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. It also features tidbits from Deepak’s personal experience and advice on acing interviews to help land your dream job.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. 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

MARCH 19, 2024

I am also experienced in big data technologies with Data Science courses in Hadoop, Spark, and NoSQL databases. Career Objective for Experienced Cloud Engineer resumeworded Example 1: Experienced Cloud Engineer with over 6 years of experience in developing and managing cloud-based solutions.

Finance 52

Finance Certification Utilities Business Intelligence 52

Knowledge Hut

SEPTEMBER 6, 2023

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. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Scala 52

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. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 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

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.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. This makes it possible for businesses to profit from the cloud's scalability, flexibility, and cost-effectiveness.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. So, let's discuss the AWS cloud migration case study and its importance in getting a better understanding of the topic in detail. They use cloud-based desktops via AWS Workspaces and other services in these situations.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

MARCH 27, 2024

Easy to implement with MySQL, JSON, and highly flexible. Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty. Integrate.io

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Rockset

JANUARY 28, 2022

Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets. However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones. Storing all of that data was not a problem. Watch the webinar below.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Knowledge Hut

DECEMBER 26, 2023

Visual Studio Code presents a highly optimized source-code editor for building and debugging modern web and cloud applications. Go A general-purpose programming language by Google. ii) Databases MySQL Most popular open-source relational database. MongoDB Most popular NoSQL database. Oracle A DBMS by Oracle.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. AWS - Which cloud is best?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Depending on the type of deployment (cloud or on-premise), cluster size, and the number of integrations, the deployment may take days to weeks to even months.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. It consists of four main components: Angular, a JavaScript front-end framework; Express.js, a web application framework for Node.js; MongoDB, a NoSQL database; and Node.js, a server-side runtime.

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Rockset

APRIL 15, 2022

Traditional transactional databases, such as Oracle or MySQL, were designed with the assumption that data would need to be continuously updated to maintain accuracy. Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks).

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52