The Pragmatic Engineer

MAY 11, 2023

The company racked up huge bills for the likes of AWS, Snowflake, and also Datadog. Prometheus is part of the Cloud Native Foundation, membership of which indicates that it’s safe to build on top of Prometheus, as it’s actively maintained and will continue to be. And so, the $65M bill was for Datadog, for 2021.

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AWS Software Engineer Software Engineering Google Cloud 347

Knowledge Hut

JANUARY 11, 2024

Are you planning to appear for the AWS Cloud Practitioner Certification in 2023? Here is a complete and comprehensive guide of all the things you can expect from the AWS exams and how to best prepare for them! Cloud Computing is one of the biggest industries in Information Technology.  Well, your search ends here.

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AWS Amazon Web Services Cloud Cloud Computing 96

Data Engineering Podcast

FEBRUARY 18, 2024

It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story.

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Data Lake High Quality Data Data Warehouse Google Cloud 262

Snowflake

JULY 8, 2024

Historically, Snowflake has supported more than 40 cloud regions across AWS, Google Cloud Platform and Microsoft Azure. Snowgrid is the technology layer that interconnects a Snowflake customer’s business ecosystem across regions and clouds to simplify global operations.

Cloud 111

Cloud Google Cloud Education AWS 111

Edureka

APRIL 22, 2025

The alternative, however, provides more multi-cloud flexibility and strong performance on structured data. Snowflake is a cloud-native platform for data warehouses that prioritizes collaboration, scalability, and performance. It provides real multi-cloud flexibility in its operations on AWS , Azure, and Google Cloud.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

phData: Data Engineering

FEBRUARY 21, 2025

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. What is The Cloud? The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Knowledge Hut

MARCH 7, 2024

In the digital era, the demand for cloud computing has increased like never before. Increased security, scalability, reduced costs, and better collaboration are a few benefits of cloud computing. That is why the need for cloud computing companies has increased a lot. It is one of the safest platforms for cloud service.

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Cloud Computing Amazon Web Services Cloud Google Cloud 98

Confluent

SEPTEMBER 30, 2021

The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of fully managed […].

Cloud 122

Cloud AWS Portfolio Technology 122

Confluent

SEPTEMBER 30, 2019

These are the typical reasons for running in the cloud. There is fantastic news if you’re just coming up to speed on Kafka: we are eliminating these challenges and lowering the entry barrier for Kafka by making Kafka serverless and offering Confluent Cloud for free*. With Confluent Cloud, these become things of the past.

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Kafka Cloud Amazon Web Services Google Cloud 19

Knowledge Hut

NOVEMBER 27, 2023

In today's rapidly evolving digital landscape, harnessing the power of cloud computing has become essential for organizations seeking to stay ahead of the curve. Do try to upskill yourself by taking up online Cloud training courses. Are you ready to take the google cloud skills challenge?

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Knowledge Hut

JULY 31, 2023

Google Cloud has emerged as a leading player in cloud computing and technology solutions. Research suggests that the global cloud computing industry is predicted to develop at a compound annual growth rate (CAGR) of 16.3%, from USD 445.3 Who is a Google Cloud Engineer? Who is a Google Cloud Engineer?

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Google Cloud Cloud Engineering Cloud Computing 52

Knowledge Hut

JUNE 30, 2023

Businesses need cloud technologies to host their web applications and run their operations. Google Cloud is one of the leading cloud computing platforms in the world. The best certification to pursue novices is Google Cloud Engineer - Associate. Why Choose a Google Cloud Career?

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

Snowflake

JANUARY 26, 2024

A key benefit of the Snowflake Data Cloud is the elimination of data silos. To support this, the Data Cloud was designed to provide customers with the same product experience—including security and governance capabilities — across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

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Google Cloud AWS Cloud Government 105

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?

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Cloud Computing Cloud Amazon Web Services Entertainment 98

Edureka

APRIL 22, 2025

Cloud-Native Data Engineering These days, cloud-based systems are the best choice for data engineering infrastructure because they are flexible and can grow as needed. Solutions like AWS Glue , Google Cloud Dataflow, and Azure Data Factory help businesses organize, integrate, and analyze data well.

Data Engineer 52

Data Engineer Data Engineering Engineering Consulting 52

Snowflake

JUNE 3, 2024

Today, Snowflake is delighted to announce Polaris Catalog to provide enterprises and the Iceberg community with new levels of choice, flexibility and control over their data, with full enterprise security and Apache Iceberg interoperability with Amazon Web Services (AWS), Confluent , Dremio, Google Cloud, Microsoft Azure, Salesforce and more.

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Amazon Web Services Google Cloud Data Architect Government 143

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. The ecosystems of both cloud technologies and data processing have been rapidly growing and evolving, with new patterns and paradigms being introduced. Start trusting your data with Monte Carlo today!

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Data Warehouse Data Integration Cloud Google Cloud 100

Confluent

OCTOBER 3, 2019

Example of article extraction on Introducing a Cloud-Native Experience for Apache Kafka ® in Confluent Cloud. As part of our journey, we moved Scrapinghub AutoExtract to the cloud with Confluent Cloud. Why move to the cloud? Choosing Confluent Cloud. Reasons to choose Confluent Cloud. Our use case.

Kafka 16

Kafka Cloud Amazon Web Services Google Cloud 16

Striim

MARCH 22, 2023

Hashicorp Packer is an open-source Infrastructure-as-Code (IaC) tool that enables you to quickly build and deploy custom images for cloud and on-premises environments. With Packer, you can create custom image builds for a variety of platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and more.

Google Cloud 52

Google Cloud Cloud Amazon Web Services Building 52

phData: Data Engineering

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. 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.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Knowledge Hut

NOVEMBER 16, 2023

Cloud Computing Today’s biggest buzz in all small, medium and large IT towns is all about cloud computing. You must use Google, Amazon etc. some of the big guns of cloud technology. If you are thinking of pursuing a course that can set your future-career in cloud computing, then IaaS, PaaS, SaaS, DaaS etc.

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Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds. It is equally important to know in both sectors.

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Cloud Computing Data Science Cloud Amazon Web Services 98

Data Engineering Podcast

NOVEMBER 20, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. In fact, while only 3.5% That’s where our friends at Ascend.io

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Data Lake Data Ingestion MongoDB MySQL 130

Monte Carlo

OCTOBER 31, 2024

Big Data and Cloud Infrastructure Knowledge Lastly, AI data engineers should be comfortable working with distributed data processing frameworks like Apache Spark and Hadoop, as well as cloud platforms like AWS, Azure, and Google Cloud.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Cloudera

SEPTEMBER 30, 2022

. Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. Fig2: DataFlow Functions runtime environments are available in AWS Lambda, Azure Functions, and Google Cloud Functions.

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Google Cloud AWS Cloud Coding 80

Data Engineering Weekly

JUNE 10, 2024

Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure. However, all these cloud providers do offer competitive products. The architecture pattern establishes the baseline of how the cloud providers will eventually eat Snowflake & Databricks lunch.

Data Engineer 103

Data Engineer Data Engineering Engineering Kafka 103

Data Engineering Podcast

SEPTEMBER 16, 2018

Skafos maximizes interoperability with your existing tools and platforms, and offers real-time insights and the ability to be up and running with cloud-based production scale infrastructure instantaneously. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Google Cloud 100

Google Cloud Hadoop Consulting Business Intelligence 100

Data Engineering Podcast

FEBRUARY 17, 2020

He also shares the challenges they face in supporting multiple cloud environments and the need to integrate with existing customer systems. Your host is Tobias Macey and today I’m interviewing Josh Beemster about how Snowplow manages deployment and maintenance of their managed service in their customer’s cloud accounts.

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AWS Google Cloud Kafka Media 100

Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Introduction. Functions as a Service.

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Google Cloud AWS Cloud Computing Kafka 110

RandomTrees

JULY 15, 2024

Datadog is a powerful monitoring and analytics platform for modern cloud environments. Overview of Datadog Datadog is a monitoring and analytical tool for Cloud-scale applications. Datadog easily connects with popular cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and more.

Cloud 52

Cloud Google Cloud Amazon Web Services Metadata 52

ThoughtSpot

APRIL 28, 2023

The companies, products, and services that compose the modern data stack play an essential role in delivering the modern data experience—allowing businesses to collect, process, store, and analyze data at cloud speed and scale. The partnership has several capabilities, such as ThoughtSpot’s SaaS offering built directly on Google Cloud.

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Google Cloud BI Consulting Cloud 97

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

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Cloud Banking Kafka NoSQL 89

Striim

JANUARY 17, 2025

Key considerations for building this foundation include: Unified Data Layer : Integrate data from various sources (cloud, on-premises, IoT devices, social media) into a unified pipeline for seamless AI processing.

Healthcare 52

Healthcare Google Cloud Government Data Validation 52

Striim

NOVEMBER 30, 2022

Thousands of companies are centralizing their analytics and applications on the AWS ecosystem. 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.

AWS 52

AWS Cloud Management MySQL 52

Data Engineering Podcast

SEPTEMBER 22, 2019

Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. 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? How do you approach project governance and sustainability?

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AWS Google Cloud Cloud Storage Data Lake 100

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 80

Cloud Metadata Data Warehouse Google Cloud 80

Knowledge Hut

MARCH 22, 2024

Did you know that Amazon Web Services (AWS) has a 33% market share in cloud computing? With this leadership status in the domain, the job roles associated with AWS have also gained traction. AWS solutions architect career opportunities have grown multiplefold. Businesses in every sector realize cloud adoption.

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AWS Amazon Web Services Cloud Computing Computer Science 52