Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Altexsoft

JANUARY 14, 2021

Non-volatile implies that once the data flies into a warehouse, it stays there and isn’t removed with new data enterings. As such, it is possible to retrieve old archived data if needed. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Linux Academy

JANUARY 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of Big Data. Starting with the definition of Big Data, we describe the various characteristics of Big Data and its sources. No prior AWS experience is required.

Linux 60

Linux Technical Review AWS Big Data 60

CircleCI

SEPTEMBER 7, 2021

Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. Serverless. One cloud offering that does not exist on premises is serverless. Serverless is a bit of a misnomer, as it definitely involves servers. Serverless is cost-effective (often free), and scales easily. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g.,

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

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. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 68

Course Training Artificial Inteligence Software Review 68

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. process data in real time and run streaming analytics. Kafka vs ETL.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

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. Difficulty Level: Intermediate.

Course 60

Course DevOps Training Linux 60

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. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 51

Course Training Artificial Inteligence Software Review 51

UruIT

DECEMBER 31, 2018

The conference covers approaches and technologies such as chaos engineering, serverless, and cloud, in addition to a range of leadership and business skills. Course titles include (among others) Big Data for Managers, Hands-On Data Science with Python, and Building a Serverless Big Data Application on AWS.

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. 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. AI and machine learning.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Protera

SEPTEMBER 25, 2018

The competition between AWS, Azure, and other public cloud providers has been particularly helpful in the SAP community. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. The Innovation Cycle for the public cloud is breathtakingly fast.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Altexsoft

FEBRUARY 24, 2023

It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics. 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.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

JULY 4, 2022

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The competencies of on-premises and cloud infrastructure engineers wouldn’t differ that much: They both build and maintain systems and networks to run business software and store data.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. Maintaining Least Privilege Necessary.

Policies 10

Policies Analytics Security Software Review 10

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 Systems Review 52

Linux Academy

NOVEMBER 6, 2019

Building a Full-Stack Serverless Application on AWS. Configure Application Insights with Azure. Configure Azure SQL Database User Access. Configuring Alerts for Azure SQL. Enable Archiving with Azure Blob Storage. Using SQL to Retrieve Data. Using SQL to Change Data. Installing OpenShift on Azure.

Google Cloud 16

Google Cloud Linux Azure AWS 16

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. Kubernetes Serverless with Knative , March 15.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Firemon

SEPTEMBER 12, 2019

Carbon Black’s cloud-based endpoint security platform uses big data and behavioral analytics to power threat hunting, incident response, antivirus, and endpoint detection capabilities, as well as real-time endpoint query and remediation. Baking-in Security by Buying It.

Policies 8

Policies Applications Cloud Serverless 8

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Data Pipelining with Luigi and Spark , April 17. Real-Time Data Foundations: Time Series Architectures , April 18. Business Data Analytics Using Python , April 29. Intermediate SQL for Data Analysis , April 30. AI for Product Managers , April 19.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Saviynt

JANUARY 7, 2020

AWS Lambda and Azure Functions offer examples of this challenge. These serverless technologies build security into the functions and offer varying monitoring and alerting capabilities. Saviynt’s cloud-native platform uses Big Data technologies like ElasticSearch and Hadoop architecturally.

Software Review 12

Software Review Technical Review Compliance Government 12