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 Google Cloud 130

François Nguyen

MARCH 22, 2021

It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Technology 130

Technology Architecture Google Cloud Metadata 130

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). A Unified View for Operational Data We kept most of our operational data in relational databases, like MySQL. Booking Holdings, as a whole, spent $4.7 How do we run PPC at our scale, and efficiently?

Systems 52

Systems Cloud MySQL Relational Database 52

Striim

NOVEMBER 30, 2022

We are excited to launch Striim Cloud on AWS: a real-time data integration and streaming platform that connects clouds, data and applications with unprecedented speed and simplicity. How does Striim Cloud bring value to the AWS ecosystem? Sources and targets Striim supports more than 120+ sources and targets.

AWS 52

AWS Cloud Management Google Cloud 52

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 Google Cloud Scala MySQL 100

Striim

FEBRUARY 10, 2023

It provides networking solutions to support the world’s largest telecommunications service providers, submarine network operators, data and cloud operators, and large enterprises. Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives. Request a demo today.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Knowledge Hut

DECEMBER 28, 2023

MySQL Workbench MySQL Workbench is one of the popular visual tools for database architects. MySql workbench is available on every platform like Windows, Linux, and Mac. Pricing Policy- MySQL Workbench is a completely free database management system, so enjoy the free database tools. Cons: Support only MariaDB and MySQL.

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

FEBRUARY 6, 2024

Learn about managing servers As cloud deployments become more useful with DevOps approach, there is a need to manage a group of Servers (Application, Database, Web Server, Storage, Infrastructure, Networking Server and so on) rather than individual servers. What does IaC do? It provides a GUI to easily configure the builds f.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

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

Ascend.io

JUNE 22, 2023

Get started with a free developer-tier Ascend Cloud environment and begin loading your data into MotherDuck today ( docs )! In the example below, we connected to a MySQL database, Snowflake Data Warehouse and Google Cloud Storage (blob storage). Imagine you’re a member of an analytics team for an eCommerce company.

NoSQL 52

NoSQL Google Cloud MySQL Data Pipeline 52

U-Next

JULY 2, 2022

Always wondered what the right skills to become an excellent cloud engineer are? Introduction To Cloud Engineer Skills. The cloud computing model delivers computing resources on-demand – that is, through the Internet – such as data storage, compute power and data processing. Cloud Computing: Scope of Application.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Rockset

JANUARY 9, 2023

Modern Snack-Sized Sales Training At ConveYour , we provide automated sales training via the cloud. Connected to it via an ETL pipeline was a MySQL database running in Google Cloud that serves up both our large ongoing workhorse queries and also the super-fast ad hoc queries of smaller datasets. It took just one week.

MySQL 52

MySQL MongoDB Recruitment Data Ingestion 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 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 Engineering 52

Software Engineering Software Engineer Engineering Java 52

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. market share, while all of its rivals combined, Microsoft Azure (29.4%), Google Cloud (3.0%), and IBM (2.6%), do not even reach that percentage. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 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. Databases: The most used relational database platforms, such as SQL Server, Oracle, MySQL, and PostgreSQL databases, are recognized both as source and sink platforms. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

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

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. 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.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

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

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 Engineer 52

Data Engineer Data Engineering 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

Edureka

JULY 16, 2024

MySQL, PostgreSQL) or NoSQL databases (e.g., 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 SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases for adequate data storage and retrieval.

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

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 Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Snowflake

JUNE 27, 2023

The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. Distribution and monetization capabilities will be available in public preview on AWS later this year.

AWS 52

AWS Google Cloud MySQL Coding 52

Monte Carlo

NOVEMBER 20, 2023

Popular categories of migration tools include: Database Management Systems (DBMS) : Tools like MySQL Workbench or Microsoft SQL Server Management Studio offer built-in migration assistants. ETL Tools : Extract, Transform, Load (ETL) tools such as Talend or Apache NiFi are designed for complex data integrations and migrations.

MongoDB 52

MongoDB ETL Tools Database Data 52

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

Knowledge Hut

APRIL 12, 2023

Microsoft Azure is a powerful cloud computing platform that has become quite popular in recent years. Azure provides organizations with the tools and services needed to build, deploy, and manage applications and services on the cloud. What is Cloud Computing? over the internet. What is Microsoft Azure in Simple Terms?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Knowledge Hut

NOVEMBER 28, 2023

Cloud Engineer These developers design, build and maintain cloud-based systems and infrastructure. They typically have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineering 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

Knowledge Hut

JUNE 16, 2023

Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Data Science Data Analytics 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

AltexSoft

NOVEMBER 7, 2022

For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on.

PostgreSQL 52

PostgreSQL Metadata Python 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

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 Engineer 52

Data Engineer Data Engineering Coding Project 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 Consulting Finance 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

MARCH 19, 2024

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. Proven success in designing, building, and optimizing cloud architectures to support critical business applications.

Finance 52

Finance Certification Utilities Business Intelligence 52