Knowledge Hut

DECEMBER 5, 2023

Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous.

Systems 52

Systems Engineering Recruitment Electronics 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

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. Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu. deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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

Christophe Blefari

AUGUST 4, 2023

A few requirements The source data lies in Postgres database, in flat CSV and in Google Sheets. I want something cloud agnostic—when possible. FAQ and remarks Why do you use Google Cloud? 💡 If you just want a few articles to read, just go to the bottom of the email. I want to use open-source tooling.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Knowledge Hut

MARCH 27, 2024

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. Features: Integrated apps can be deployed on-premises and in the cloud.

Big Data 52

Big Data Data Analytics MongoDB Big Data 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. Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. MongoDB Most popular NoSQL database.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

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

AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. They enable you to access the framework functionality in the cloud, typically charging fees per cluster/ per hour. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. Here is the list of top 15 big data and cloud computing skills professionals need to master to cash in rewarding big data and cloud computing jobs. ”-said Mr Shravan Goli, President of Dice.

Cloud Computing 40

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

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

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

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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. But deployment is just the tip of the iceberg.

Kafka 21

Kafka Management Cloud AWS 21

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. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

APRIL 15, 2022

Immutability and Updates: Costly and Risky for Data Accuracy By contrast, most data warehouses, both on-premises and in the cloud, are designed with immutable data in mind, storing data to disk permanently as it arrives. So why are their analytics still crawling through in batches instead of real time? This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52