Data Engineering Podcast

FEBRUARY 11, 2018

Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? How is Timescale implemented and how has the internal architecture evolved since you first started working on it? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

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. Migration Frameworks for NoSQL : Mongoid (for MongoDB with Ruby) : Provides a framework for MongoDB document-to-object mapping.

MongoDB 52

MongoDB ETL Tools Database Data 52

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Scala Google Cloud 100

Knowledge Hut

DECEMBER 26, 2023

98,057 LEMP stack (JavaScript - Linux - Nginx - MySQL - PHP) Not available MEAN stack developer - (JavaScript - MongoDB - Express -AngularJS - Node.js) An incoming user request is processed by the AngularJS framework. to decide which non-relational NoSQL database requests to perform to MongoDB. The request is then processed by Node.js

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Einsatzszenarien für diese Dateningenieure – auch auf Deutsch eine annehmbare Benennung – sind im Kern die Erstellung von Data Warehouse und Data Lake Systeme, mittlerweile vor allem auf Cloud-Plattformen. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

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

Knowledge Hut

NOVEMBER 28, 2023

To get a full stack internship , you need to acquire the skills in the front end and back end development listed below: These front end developer skills are categorized into the following: Basic Web Development Tools: HTML, CSS, TypeScript, JavaScript Integrated Development Environments (IDE):  Visual Studio Code IDE, Sublime Text 3 Front End Frameworks:  (..)

Recruitment 52

Recruitment Computer Science Java PostgreSQL 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.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

DECEMBER 28, 2023

Database technology involves storing and retrieving data, such as MySQL and MongoDB. They must also be familiar with AWS, Google Cloud, and Digital Ocean hosting providers. Server-side scripting involves the creation of the website's functionality and interaction with databases, such as PHP, Python, Ruby on Rails, and Node.js.

Programming Language 52

Programming Language Python MongoDB Certification 52

Knowledge Hut

DECEMBER 27, 2023

In a broad spectrum of cutting-edge technologies, such as Big Data, analytics, machine learning, IoT, mobile, cloud, UI/UX, and test automation, Encora offers differentiated innovation services and software engineering solutions. Database management: Understanding database management systems such as MySQL, MongoDB, and SQL Server.

Programming Language 52

Programming Language Healthcare Finance Consulting 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

DECEMBER 21, 2023

Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Cloud Data Engineer A cloud data engineer designs, builds, and maintains data infrastructures to run on cloud platforms such as AWS or Google Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 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

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. runs natively on data lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Rockset

JUNE 7, 2021

These CDC implementations are offered in the form of configurable connectors for systems such as MongoDB , DynamoDB , MySQL , Postgres and others. For most of the supported data sources the latency between the source and target is under 5 seconds.

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

APRIL 25, 2024

Originally created by Google Cloud in 2014, Kubernetes is now being offered by leading Cloud Providers like AWS and Azure. Here is a sample YAML file used to create a multi container Pod with Tomcat and MongoDB images. To read more about Kubernetes and deployment, you can refer to the Best Kubernetes Course Online.

Database-centric 81

Database-centric Metadata MongoDB Pipeline-centric 81

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

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

Rockset

JANUARY 9, 2023

Modern Snack-Sized Sales Training At ConveYour , we provide automated sales training via the cloud. Technical Challenges Our original data infrastructure was built around an on-premises MongoDB database that ingested and stored all user transaction data. High sales staff churn is wasteful and bad for the bottom line.

MySQL 52

MySQL MongoDB Recruitment Data Ingestion 52

The Pragmatic Engineer

NOVEMBER 10, 2022

There’s also a push to significantly reduce their spend on Google Cloud. A Staff+ peer group success story at MongoDB. Out of the three data centers operating, the engineering team is investigating shutting down one, to leave the company with two DCs. The full The Scoop edition additionally covers: A change to The Scoop.

Software Engineer 130

Software Engineer Software Engineering MongoDB Medical 130

AltexSoft

JULY 29, 2022

They enable you to access the framework functionality in the cloud, typically charging fees per cluster/ per hour. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

DECEMBER 23, 2023

Databases : They should be efficient at handling data from databases like MySQL, MongoDB, Redis, Oracle and SQLServer. DBMSs with a large user base include MySQL, SQL SERVER and PostgreSQL, MongoDB, and Oracle Database. Microsoft Azure, Google Cloud Platform, and Amazon Web Services are a few of the more well-known ones.

Programming Language 52

Programming Language Java MongoDB MySQL 52

Knowledge Hut

FEBRUARY 7, 2023

Navigators can search packages on an anaconda cloud or local repository, install them and update them as required. It can be deployed everywhere in different clouds Driverless AI is optimized to take advantage of GPU acceleration to achieve up to 40X speedups for automatic machine learning. Machine learning suite. Features of H2o.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Rockset

JANUARY 28, 2022

Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets. Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB.

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

ProjectPro

AUGUST 24, 2021

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud. Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

DECEMBER 22, 2023

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. Writing back-end code in PHP, C#, or Python can add to your resume and help you to become the best full-stack developer.

Recruitment 98

Recruitment Portfolio Programming Language Python 98

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

Cloudera

DECEMBER 12, 2018

There’s MongoDB for document stores. Michael Moreno: Now how do you see this playing out with the impact of cloud? Obviously, there are many organizations now storing their data in the cloud. Greg Rahn: I think Cloudera and the software that it runs for its platform, including Impala, are very well suited for the cloud.

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

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

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., Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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