Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

Hu's Place - HitachiVantara

MAY 30, 2019

Just a few years ago, MapR was considered one of the Unicorns (startups that were valued at a billion dollars or more) in the Big Data Analytics market which is a booming market. MarketWatch estimates that the global big data market is expected to grow at a CAGR of 22.4%

Big Data 40

Big Data Analytics Marketing Data 40

Linux Academy

JUNE 25, 2019

Serverless Concepts. Serverless has been gaining momentum as cloud technology continues to become more widespread. This course provides a high-level overview of the concept of Serverless computing without getting into deep technical details. Google Cloud Concepts. What is the cloud or Google Cloud?

Linux 60

Linux Course Cloud Google Cloud 60

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 93

Course Training Artificial Inteligence Software Review 93

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. Building a Full-Stack Serverless Application on AWS. Google Labs. Build a Custom Network in Google Cloud Shell.

Google Cloud 16

Google Cloud Linux Azure AWS 16

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.

Linux 68

Linux Serverless Google Cloud Lambda 68

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Developing Applications on Google Cloud Platform , April 29-30. Introduction to Google Cloud Platform , April 3-4. Cloud Computing on the Edge , April 9. Designing Serverless Architecture with AWS Lambda , April 15-16.

Course 15

Course Artificial Inteligence Training Machine Learning 15

Altexsoft

JANUARY 14, 2021

The 3rd generation data warehouses add more computing choices to MPP and offer different pricing models. By the level of back-end management involved: Serverless data warehouses get their functional building blocks with the help of serverless services, meaning they are fully-managed by third-party vendors. Data loading.

Backup 115

Backup Azure Software Review Architecture 115

O'Reilly Media - Ideas

FEBRUARY 6, 2019

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. OpenStack for Cloud Architects , March 7-8.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Creating Serverless APIs with AWS Lambda and API Gateway , January 8.

Course 111

Course Artificial Inteligence Training Blockchain 111

Altexsoft

MAY 20, 2020

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Due to authentication and encryption provided at all points of connection, IoT Core and devices never exchange unverified data. You may use.

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 86

Course Artificial Inteligence Training Blockchain 86

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 63

Course Artificial Inteligence Training Google Cloud 63

O'Reilly Media - Ideas

JANUARY 13, 2020

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. KotlinConf sold out three years in a row with more than 1,700 attendees in 2019.

Programming 144

Programming Software Review Systems Review Artificial Inteligence 144

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 65

Course Training Artificial Inteligence Software Review 65

RapidValue

AUGUST 4, 2020

Deploying popular containers like Kubernetes and Docker offer various benefits such as efficiency, simplicity, maintainability, portability and multi-cloud platforms. Using serverless computing services, such as AWS Lambda, take away the need for developers or other IT staff to configure or manage cloud instances.

Cloud 92

Cloud How To Azure AWS 92

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Who should take this course: We suggest you take our Big Data Essentials and Linux Essentials courses before taking this course. Serverless Concepts. Chef – The Local Cookbook Development Badge.

Course 60

Course DevOps Training Linux 60

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Practical Docker , June 11.

Course 58

Course Training Artificial Inteligence Machine Learning 58

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Architecting with Google Compute Engine Specialization. Google Cloud Fundamentals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Serverless. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Altexsoft

APRIL 26, 2022

The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. Well, almost serverless, to be exact.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Apiumhub

OCTOBER 2, 2019

Capside delivers Cloud training in all knowledge areas and technologies related to Cloud. Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Serverless Architecture Using AWS.

Software Review 9

Software Review Software Development Technical Review Course 9

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Getting Started With Google Kubernetes Engine (GKE) on Coursera. Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Mobilunity

APRIL 7, 2025

Considering this, Mobilunity can connect you with seasoned specialists who can help you achieve the following: > Streamline data management Our company offers access to Java-focused developers proficient in handling big data, database optimization, and high-volume processing for industries requiring robust Java-driven solutions.

UI/UX 40

UI/UX Technical Review Development Software Review 40

Firemon

SEPTEMBER 12, 2019

But as much as VMware’s strategy to wrap security around its applications is a sound one, it doesn’t change the need for visibility across all virtual environments and public clouds, or the necessity of global security policies that can be easily and consistently applied in a multi-cloud environment. Baking-in Security by Buying It.

Policies 8

Policies Applications Cloud Serverless 8

Mobilunity

MARCH 25, 2025

Cloud Computing and Serverless Architecture : Java’s platform independence and scalability make it ideal for cloud computing environments. It supports seamless operation across various systems and hardware configurations.

Software Review 40

Software Review Software Development Software Development 40

Saviynt

AUGUST 20, 2019

Creating an effective Identity and Access Management (IAM) program is rapidly becoming a data security and privacy imperative. As organizations adopt digital transformation strategies, they move sensitive data offsite, choosing serverless over on-premises data repositories.

Policies 10

Policies Analytics Security Weak Development Team 10

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

SEPTEMBER 21, 2023

You can stream logs, metrics, and other data from your apps, endpoints, and infrastructure, whether cloud-based, on-premises, or a mix of both. With native integrations for major cloud platforms like AWS, Azure, and Google Cloud, sending data to Elastic Cloud is straightforward.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Data Google Cloud Azure 71

O'Reilly Media - Ideas

JANUARY 25, 2022

“AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. Units viewed and year-over-year growth for software development topics.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. When Airflow won’t work.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. serverless, a.k.a. Serverless and other cloud technologies allow the same operations team to manage much larger infrastructures; they don’t make operations go away.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145