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. Ein Data Engineer für die Google Cloud wird mehr Einarbeitung benötigen, sollte er plötzlich auf AWS oder Azure arbeiten müssen.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

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Google Cloud Cloud Amazon Web Services Cloud Storage 90

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

dbt Developer Hub

NOVEMBER 28, 2021

You either orchestrate dbt models in Airflow, or you deploy them using dbt Cloud. The intricacies of when I’ve found each to be useful (Airflow alone, Airflow w/ dbt Core or Cloud, dbt Core or Cloud alone) is in which team members need to get on the same page—I’ll get to that in the next section.

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

DECEMBER 4, 2023

This is where cloud computing comes to the rescue. Cloud computing makes the services of a physical machine available to you as per your convenience, demand and budget, that too at the click of a button. A meticulous cloud computing certification will help you learn and use this technology effectively. What a tedious task!

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Knowledge Hut

NOVEMBER 17, 2023

In the digital age, cloud computing has become a necessary part of almost every industry. Many of our readers have inquired about cloud computing jobs and how they can begin building this skill set in their own careers. A cloud computing career is highly rewarding. Why Is Cloud Computing a Good Career To Explore?

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

Christophe Blefari

AUGUST 4, 2023

As a disclaimer, this may not quite make sense in a corporate context, but since this is my blog, I'll do what I want. 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?

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Rockset

JUNE 7, 2021

Change Scanning Rockset also includes a change scanning CDC approach for file-based sources including: Amazon S3 Google Cloud Storage (GCS) Including a data source that uses this CDC approach increases the flexibility of Rockset.

IT 40

IT Kafka Database MongoDB 40

Knowledge Hut

NOVEMBER 18, 2023

So, if you are thinking of using these solutions in your business, keep reading this blog. These solutions can also help organizations reduce data transfer and as a result their cloud storage costs. Cloud Services for IoT Data Management The usage of cloud services for IoT data management can vary across companies.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

ProjectPro

JANUARY 24, 2023

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. BigQuery can process upto 20 TB of data per day and has a storage limit of 1PB per table. What is Google BigQuery Used for? Search no more!

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

SEPTEMBER 25, 2023

Microsoft Azure is a hybrid cloud platform that offers a wide range of services, including software, infrastructure, and storage. As of 2022, the cloud platform has had over 722.22M users. Besides, Microsoft offers various certifications including several for their cloud platform Azure. Lets begin!

Cloud Computing 52

Cloud Computing Certification Consulting Google Cloud 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

dbt Developer Hub

NOVEMBER 22, 2022

You’ll need to authenticate your Google Account using an OAuth or a service account key and provide the link of the Google Sheet you want to pull into your data warehouse. It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. 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.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JULY 24, 2023

In this blog, we will talk about the future of database management. 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.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

JULY 6, 2023

IT Professionals looking to work in the cloud domain are expected to have a sound understanding of Azure tools as well as development and monitoring tools. This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know. Configuring and setting up these Azure DevOps Tools is easy.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog./gradlew The packaging of payloads for Oracle WMS Cloud. gradlew composeUp. And of course, it can send data to Kafka.

Kafka 87

Kafka Java Bytes SQL 87

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

Confluent

MAY 29, 2019

If you want to follow along and execute all the commands included in this blog post (and the next), you can check out this GitHub repository , which also includes the necessary Docker Compose functionality for running a compatible KSQL and Confluent Platform environment using the recently released Confluent 5.2.1. Sample repository.

Kafka 95

Kafka Management Bytes SQL 95

Confluent

SEPTEMBER 20, 2019

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. Confluent Cloud for instance, allows the user to effectively start working with Apache Kafka in 90 seconds.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow.

Big Data 52

Big Data Coding Project Hadoop 52