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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Perficient

MARCH 27, 2025

Multi-Cloud and Multi-Language Support Deploy across AWS, Azure, and Google Cloud with Python, TypeScript, Go, or.NET. State Management Options Store state locally, in S3, or Pulumi Cloud. Amazon S3 : Object storage for data, logs, and backups. Amazon RDS : Managed relational databases (e.g., MySQL, PostgreSQL).

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AWS Infrastructure Lambda Load Balancer 52

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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Serverless Microservices Lambda KPI 110

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

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Google Cloud Azure AWS Cloud 52

Palo Alto Networks

FEBRUARY 26, 2020

We’re now seeing a renewed focus on IAM due to the rise of abstracted cloud services and the recent wave of high-profile data breaches. . For example, consider an application that follows this flow: a Simple Notification Service (SNS) topic triggers a Lambda function, which in turn puts an item in a DynamoDB table.

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Cloud Lambda Google Cloud Policies 98

O'Reilly Media - Ideas

DECEMBER 5, 2018

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22.

Course 111

Course Artificial Inteligence Training Blockchain 111

Linux Academy

NOVEMBER 6, 2019

Google Cloud Content. Google Cloud Stackdriver Deep Dive. Google Cloud Apigee Certified API Engineer. Google Cloud Certified Professional Cloud Security Engineer. Using SQL to Retrieve Data. Using SQL to Change Data. Provisioning a Gen 2 Azure Data Lake .

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Google Cloud Linux Azure AWS 16

Gorilla Logic

SEPTEMBER 16, 2021

The three cloud providers we will be comparing are: AWS Lambda. Google Cloud. In order to compare these cloud providers, we have chosen a set of focal topics for you to consider: . AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . Azure Functions.

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Serverless Lambda Cloud Azure 70

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Transport layer: networks and gateways.

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IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

JANUARY 22, 2019

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. Among the vendors to watch are Istio, HashiCorps, and Linkerd.

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Systems Review Trends Engineering System 99

Linux Academy

DECEMBER 3, 2019

Microsoft Azure Exam DP-201 – Designing an Azure Data Solution. Google Cloud Content. Google Cloud Network Concepts. Google Cloud Network Management. Google Cloud CloudSQL Deep Dive. Integrating Aurora Serverless Database with Lambda using Python and PyMySQL. Linux Content.

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Google Cloud Linux Azure Serverless 14

Mobilunity

MAY 2, 2025

To identify these anomalies, companies rely on specialized monitoring and analytics tools that compare real-time spending against historical data and predefined thresholds. This data-driven approach makes it possible to detect outliers and isolate the root causes quickly. External Factors External events can also lead to anomalies.

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Cloud Google Cloud Systems Review Budget 40

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

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Course Artificial Inteligence Training Machine Learning 15

O'Reilly Media - Ideas

FEBRUARY 6, 2019

TensorFlow Extended: Data Validation and Transform , March 14. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21.

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Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Spotlight on Data: Improving Uber’s Customer Support with Natural Language Processing and Deep Learning with Piero Molino , July 2. Data science and data tools.

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Course Training Artificial Inteligence Software Review 93

O'Reilly Media - Ideas

APRIL 3, 2019

TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Spotlight on Cloud: The Future of Internet Security with Bruce Schneier , April 4. Introduction to Google Cloud Platform , June 3-4. Programming.

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Course Artificial Inteligence Training Google Cloud 67

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

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Agile Development Data Serverless 84

Linux Academy

JUNE 4, 2019

Data security is another concern. Lambda : FaaS. Cloud Functions : FaaS. Firebase : Google’s mobile-focused BaaS. There’s no way to completely avoid lock-in with anything, though. Your information is sitting out on the internet. Monitoring can also be complicated. Serverless providers. Amplify : BaaS.

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Serverless Linux Azure Lambda 92

CircleCI

JULY 24, 2019

Pulumi provides high-level cloud packages in addition to low-level resource definitions across all the major clouds service providers (e.g., Next, sign up for Pulumi and Google Cloud accounts, if you haven’t done so previously. apply ( lambda args : generate_k8_config ( * args )). Google Cloud setup.

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Software Review Infrastructure Google Cloud Cloud 88

Linux Academy

MAY 29, 2019

A couple of years ago, I wrote a post called “ 116 Hands-On Labs and Counting ” and today we have over 750 Hands-On Labs across 10 content categories — Linux, AWS, Azure, Big Data, Cloud, Containers, DevOps, Google Cloud, OpenStack, and Security. Cloud Playground includes AWS and Google Cloud Sandboxes.

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Linux Serverless Google Cloud Lambda 68

Hypergrid

FEBRUARY 15, 2019

While FaaS isn’t the panacea for all computing needs, it is an excellent framework to create workflow-driven applications – which make up the majority of the business and data-management applications out there today. While AWS Lambda isn’t the only FaaS platform, it is certainly where we see a lot of early adoption by enterprises.

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Lambda Serverless AWS Weak Development Team 40

Confluent

JULY 10, 2019

KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output. So now, let’s build a UDF artifact.

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Lambda Analytics Testing Groups 89

Hypergrid

FEBRUARY 15, 2019

While FaaS isn’t the panacea for all computing needs, it is an excellent framework to create workflow-driven applications – which make up the majority of the business and data-management applications out there today. While AWS Lambda isn’t the only FaaS platform, it is certainly where we see a lot of early adoption by enterprises.

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Lambda Serverless AWS Weak Development Team 40

Palo Alto Networks

MARCH 4, 2020

Since the release of Lambda by Amazon Web Services (AWS), the term serverless has evolved from referring to function-as-a-service (FaaS) offerings. As an example, services such as AWS Fargate and Google Cloud Run are being referred to as “serverless containers.” .

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Serverless Applications Cloud Lambda 14

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? It is different from a data warehouse which is only used to store structured, processed data.

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Data Cloud Azure Technical Review 69

Perficient

FEBRUARY 17, 2025

Data Science and Machine Learning Technologies : Python (NumPy, Pandas, Scikit-learn) : Python is widely used in data science and machine learning, with NumPy for numerical computing, Pandas for data manipulation, and Scikit-learn for machine learning algorithms. Start with data analysis projects or simple ML models.

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Development Software Review Technical Review Systems Review 52

Tenable

FEBRUARY 13, 2024

However, it can be challenging to protect cloud-native applications that leverage serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions and Azure App Service. In this article, we’ll discuss what a serverless architecture is and how it can help you secure cloud-native applications.

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Serverless Architecture Applications Cloud 108

RapidValue

AUGUST 4, 2020

There is an accumulation of outdated data like reports and log files. It requires setting up process and workflows, deep expertise, and the right data. Imperfect architecture design leads to applications that are poorly designed for cloud-based platforms. Heatmaps are important mechanisms for cloud cost optimization.

Cloud 92

Cloud How To Azure AWS 92

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. What You Need to Know About Data Science , February 4. Developing a Data Science Project , February 11. Data science and data tools.

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Course Artificial Inteligence Training Blockchain 87

OpenCredo

DECEMBER 11, 2020

is also able to use the power of multithreading and Single Instruction Multiple Data (SIMD) to speed up this process even further. For a couple of years, Cloud providers and CDNs have been offering general-purpose computing at the edge like AWS Lambda@Edge and Cloudflare Workers – most of them based on JavaScript.

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Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). Since its initial release in 2021, CDF-PC has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters.

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ParkMyCloud

JULY 15, 2020

Whether you’re new to public cloud altogether or already use one provider and are interested in trying another, you may be interested in a comparison of the AWS vs Azure vs Google free tier. Google Cloud Free Tier Offerings. Keep in mind that your trial ends after 12 months or once you’ve exhausted the $300 credit.

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Azure Comparison AWS Google Cloud 60

Tamnoon

MARCH 17, 2025

AWS Lambda, API Gateway, and DynamoDB have revolutionized application development, eliminating infrastructure concerns and creating new security challenges. Cloud providers are increasingly seeing businesses adopt serverless security. Additionally, AWS serverless security pitfalls that compliance checklists often overlook.

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Serverless AWS Lambda How To 52

Linux Academy

OCTOBER 2, 2019

Google Cloud Professional Cloud Security Engineer – Practice Exam. Using SQL to Retrieve Data . Using SQL to Change Data. Provisioning a Gen 2 Azure Data Lake. Trigger an AWS Lambda Function from an S3 Event. Google Cloud Certified Professional Cloud Security Engineer.

Linux 13

Linux Disaster Recovery Azure Google Cloud 13

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Spotlight on Data: Improving Uber’s Customer Support with Natural Language Processing and Deep Learning with Piero Molino , July 2. Data science and data tools.

Course 69

Course Training Artificial Inteligence Software Review 69

Palo Alto Networks

APRIL 28, 2020

Enterprise Edition provides a comprehensive platform for protecting both the service plane and the compute plane and can protect hosts, containers, and serverless running in any cloud, including on-premises. Serverless Security: Auto-Protect for AWS Lambda Functions. With this release, we support: NET Core 2.1. Python 2.7,

Cloud 73

Cloud Serverless Lambda Policies 73

Linux Academy

JUNE 25, 2019

We will install some popular database systems available on Linux and work with data in those systems. Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. Google Cloud Concepts. This course is for the true Google Cloud Platform beginner.

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Linux Course Cloud Google Cloud 60