Data Engineering Podcast

JULY 17, 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.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

NOVEMBER 13, 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. CreditKarma was one of the first FinTech companies to migrate to the cloud, specifically GCP. In fact, while only 3.5%

MongoDB 100

MongoDB MySQL Google Cloud Scala 100

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

Edureka

FEBRUARY 12, 2025

Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Examples: AWS Lambda Google Cloud Azure Functions Monitoring and Debugging Tools Integrates with tools for tracking and improving application performance. Web Application (e.g.,

IT 52

IT Database Google Cloud Coding 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 Engineering 130

Cloud Academy

JANUARY 27, 2022

Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Striim

AUGUST 26, 2023

Google Cloud PubSub : Known for its ease in handling massive real-time streams with robust scalability options. PubSub is a great fit for those heavily invested in Google Cloud infrastructure. Alternatively you can try Striim Cloud Enterprise in our 2-week trial.

MongoDB 52

MongoDB Google Cloud Kafka AWS 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. Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

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

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 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

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

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

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

Striim

OCTOBER 11, 2024

For instance, Macy’s streams change data from on-premises databases to Google Cloud. To achieve this, the TechOps team implemented a real-time data hub using MongoDB, Striim, Azure, and Databricks to maintain seamless, large-scale operations. Another excellent data pipeline example is American Airlines’ work with Striim.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 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. 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

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

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

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 Machine Learning Programming Language 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 Big Data ETL Tools 93

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 NoSQL 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 MongoDB PostgreSQL ETL Tools 52

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

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. Also integrated are the cloud-based databases, such as the Amazon RDS for Oracle and SQL Server and Google Big Query, to name but a few. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

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 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

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

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 MongoDB 52

Edureka

JULY 16, 2024

MongoDB, Redis) for data modeling, querying, and optimization. Server Management and Deployment: Proven experience delivering apps to cloud platforms such as AWS, Azure, and Heroku, as well as maintaining server settings. Experience with cloud platforms like AWS, Azure, and Google Cloud for hosting and delivering applications.

NoSQL 40

NoSQL MongoDB PostgreSQL Programming Language 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 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

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 Certification MongoDB 52

Edureka

FEBRUARY 12, 2025

Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Examples: AWS Lambda Google Cloud Azure Functions Monitoring and Debugging Tools Integrates with tools for tracking and improving application performance. Web Application (e.g.,

IT 52

IT Database Google Cloud Coding 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 Consulting Healthcare Finance 52

Knowledge Hut

MAY 26, 2024

It was designed by Google to manage and schedule containers at scale. Kubernetes can run on-premises or in the cloud, making it a popular choice for modernizing IT infrastructure. Many major companies use Kubernetes to manage their containerized applications, including Google, and Shopify. cat / etc/apt/sources.list.d/Kubernetes.list

Metadata 52

Metadata Certification Accessibility Accessible 52

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 42

Data Warehouse Relational Database Hadoop Database 42

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 Kafka 52