Data Engineering Podcast

SEPTEMBER 22, 2019

What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage? What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Knowledge Hut

DECEMBER 26, 2023

Google Cloud Fundamentals- Core Infrastructure from Google Overview: This course introduces the concepts of the google cloud platform concepts. You will retain use of the following Google Cloud application deployment environments: App Engine, Kubernetes Engine, and Compute Engine.

Certification 95

Certification Java Google Cloud Education 95

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions.

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

Monte Carlo

FEBRUARY 20, 2024

Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources. Amazon Kinesis Amazon Kinesis is a platform within Amazon Web Services (AWS) designed to collect, process, and analyze real-time, streaming data.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

JANUARY 23, 2024

Amazon Web Services Amazon's cloud service, also known as Amazon Web Services (AWS), is one of the widely used cloud-based servers for small businesses. Regardless of your level of cloud computing experience, this platform allows businesses to create apps over the cloud and offers a wide range of user-friendly services.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Google Cloud 52

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

SEPTEMBER 21, 2023

Azure or Google Cloud—Which is better? This question is often asked as businesses continue to understand the cloud’s usefulness and services. Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. What Is Google Cloud Platform?

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

phData: Data Engineering

AUGUST 4, 2023

Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Monte Carlo

APRIL 24, 2023

Databricks Data Catalog and AWS Lake Formation are examples in this vein. Compatible with multiple cloud providers, including AWS, Azure, and GCP, Snowflake allows organizations to leverage their preferred cloud infrastructure without vendor lock-in. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

DECEMBER 4, 2023

You host your own platform, similar to YouTube, using a provider like AWS, Azure, or GCP and their streaming service. Infrastructure as a Service (IaaS) – Cloud vendor provides infrastructure and resources, and applications are managed by the user. Below are the services provided by these cloud providers.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Knowledge Hut

APRIL 26, 2024

It is one of the safest platforms for cloud service. It offers cloud-based toolsets that are unique and stands out from the other providers in the industry. AWS provides more than 200 fully featured services which include storage, database, and computing. Who is the Biggest Cloud Service Provider?

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

phData: Data Engineering

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Architecture 52

Architecture Systems Data Lake Google Cloud 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. Amazon Web Services (AWS) offers a wide range of data engineering tools that can be used to efficiently process and analyze large volumes of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

MARCH 21, 2019

Function-as-a-Service frameworks, such as AWS Lambda, Azure Functions, and Google Cloud Functions, go quite far in realizing that vision for stateless applications, but the real challenge comes when applications need to deal with state.

SQL 52

SQL Data Management Management Engineering 52

ProjectPro

OCTOBER 6, 2021

Flexera’s State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

DataKitchen

NOVEMBER 5, 2024

By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data.

Architecture 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

ProjectPro

JANUARY 24, 2023

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Knowledge Hut

JUNE 26, 2023

Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

NOVEMBER 17, 2023

Soft Skills: Candidates should also develop soft skills such as communication, problem-solving, and collaboration to be successful in cloud computing careers. Skills Required Knowledge of cloud computing platforms (e.g., The cloud is accessed through a network like the internet and can be hosted on-premises or in the public cloud.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

dbt Developer Hub

NOVEMBER 22, 2022

It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system. The team at supercooldata has written a great how-to guide on setting up Google Sheets with BigQuery. Redshift ​ Unsurprisingly for an AWS product, Redshift prefers to import CSV files from S3.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Confluent

SEPTEMBER 20, 2019

Imagine that a developer needs to send records from a topic to an S3 bucket in AWS. Implementation effort to send records from a topic to an AWS S3 bucket. Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. That’s just part of the cost.

Kafka 21

Kafka Management Cloud AWS 21

RandomTrees

SEPTEMBER 17, 2024

Cloud Support: In Unity Catalog it Supports AWS, Azure, and GCP. Whereas for others it might vary in cloud support, with some focused on specific clouds. Cloud Storage: Ensure you have the necessary permissions to create and manage storage resources Eg., GCS buckets on Google Cloud.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

ProjectPro

AUGUST 24, 2021

The primary step in this data project is to gather streaming data from Airline API using NiFi and batch data using AWS redshift using Sqoop. You will then compare the performances to discuss hive optimization techniques and visualize the data using AWS Quicksight. Google BigQuery receives the structured data from workers.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? Public - A public cloud is free to use for anyone.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Rockset

MAY 24, 2021

Of AWS users, over half have adopted Lambda , but serverless isn't just Lambda functions. Serverless computing (often just called "serverless") is a model where a cloud provider, like AWS, abstracts away the concept of servers from the user. As serverless gains popularity, so does AWS Lambda. What Is Serverless?

Database 40

Database Google Cloud AWS Cloud Storage 40

Knowledge Hut

JULY 24, 2023

Continue reading to learn about the myriad uses of cloud computing in manufacturing and how it can be used in the manufacturing sector. Solution Architect training courses will help you build competency in managing cloud storage and acquiring essential skills to seamlessly deploy, train, and manage workloads on cloud platforms.

Cloud Computing 52

Cloud Computing Manufacturing Cloud AWS 52

Knowledge Hut

MAY 8, 2023

Businesses require highly trained engineers to manage their cloud usage, including application creation, resource allocation and maintenance, and optimal use of the capabilities provided by the industry's leading cloud providers. Because of the growing popularity of Cloud Computing, AWS cloud engineers are in great demand.

Cloud 52

Cloud Engineering Cloud Computing Amazon Web Services 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Ein Data Engineer hingegen arbeitet intensiver mit den Tools, die sich über die Jahre viel zügiger weiterentwickeln.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Knowledge Hut

MAY 5, 2023

Public, Private, and Hybrid Clouds are the different cloud deployment models in cloud computing. Consider industry-recognized cloud certifications to boost career prospects. Research AWS Solutions Architect certification costs based on desired level. It offers private cloud storage.

Cloud 52

Cloud Process Cloud Computing AWS 52

Confluent

JULY 10, 2019

It can then send that activity to cloud services like AWS Kinesis, Amazon S3, Cloud Pub/Sub, or Google Cloud Storage and a few JDBC sources. Test execution details, such as test name, test suite, execution time, and result. And of course, it can send data to Kafka.

Kafka 89

Kafka Java Bytes SQL 89

Knowledge Hut

SEPTEMBER 25, 2023

The certification will make you proficient in cloud computing, networking, and cloud storage. Professional Development: Your journey as a cloud professional does not end with Azure. There are other cloud platforms too. Here are some tips to help with Microsoft Azure exam preparation.

Cloud Computing 52

Cloud Computing Certification Consulting Cloud 52

Monte Carlo

FEBRUARY 6, 2023

Your database may be in the cloud, but the server that hosts it has a physical location. Cloud storage will provide the most opportunity, but your goals and budget constraints will help to determine what’s right for your business needs. Public, private, hybrid, or multi-cloud. Hosted, managed, or SaaS.

Data Warehouse 52

Data Warehouse AWS Data Data Validation 52

Monte Carlo

NOVEMBER 14, 2023

Table of Contents Airflow Prefect Dagster Mage Luigi Rivery Keboola Orchestrator Flyte Metaflow Azure Data Factory Databricks Workflows Google Cloud Composer Data orchestration tools are just one piece of the puzzle Airflow Image courtesy of Airflow. First things first—what’s Airflow? Luigi Image courtesy of Luigi.

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

Confluent

MAY 29, 2019

Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. m2 directory. id 'maven-publish'. publishing { repositories { mavenLocal() } } group = 'com.redpillanalytics'.

Kafka 96

Kafka Management Bytes SQL 96

U-Next

JULY 2, 2022

Hence, they cover almost everything in the field, making it a vital cloud engineering skill. Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud are the top players in the cloud computing market. As a market leader, AWS holds the top position in the market and is known for specialising in a particular area. .

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Knowledge Hut

NOVEMBER 18, 2023

These solutions can also help organizations reduce data transfer and as a result their cloud storage costs. Some of the most popular cloud services in this regard are: AWS IoT Platform: The Amazon Web Services IoT platform provides solutions for data collection from IoT devices and sensors.

Machine Learning 52

Machine Learning Transportation Healthcare Google Cloud 52

Knowledge Hut

FEBRUARY 7, 2023

aws-ebs parameters: type: gp3 reclaimPolicy: Retain allowVolumeExpansion: true mount0ptions: debug volumeBindingMode: Immediate The StorageClass object's name is crucial since it permits requests to that specific class. v1 Kind: StorageClass metadata: Name: standard provisioner: kubernetes.io/aws-ebs Example: a.

Metadata 52

Metadata AWS Google Cloud Cloud 52