RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Azure Kubernetes Service or AKS enables you to do that. Azure Kubernetes Service or AKS enables you to do that.

Azure 12

Azure Applications Agile Systems Review 12

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

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. Azure CLI Essentials. Big Data Essentials. Azure Concepts.

Linux 60

Linux Course Cloud Google Cloud 60

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 17

Artificial Inteligence Course Training Artificial Intelligence 17

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

Datavail

JUNE 22, 2021

But that’s not the only reason IT organizations are flocking to Azure. Here are the seven main reasons companies choose this versatile platform: High Availability : Microsoft has a significant global footprint which means Azure can provide a Service Level Agreement (SLA) of 99.95% for its customers.

Azure 40

Azure Cloud Company Artificial Inteligence 40

The Citus Data

MARCH 31, 2023

(EMEA livestream, Citus team, Citus performance, benchmarking, HammerDB, PostgreSQL) 2 Azure Cosmos DB for PostgreSQL talks (aka Citus on Azure) Auto scaling Azure Cosmos DB for PostgreSQL with Citus, Grafana, & Azure Serverless , by Lucas Borges Fernandes, a software engineer at Microsoft. (on-demand

Azure 84

Azure Open Source Virtualization Software Engineering 84

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

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

RapidValue

AUGUST 4, 2020

Enterprises committed to the cloud for the long-term should invest in AWS Reserved Instances (RIs) or Azure Reserved VM Instances (RIs). Take advantage of Spot Instances as they can help you save more on your AWS spend or Azure spend. You can monitor your organization’s cloud spending with Azure Cost Management.

Cloud 92

Cloud How To Azure AWS 92

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. Azure coming soon. Viewing and Sorting Data in MySQL. Launch Lab ?.

Linux 68

Linux Serverless Google Cloud Lambda 68

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

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Designing Serverless Architecture with AWS Lambda , April 15-16. Kubernetes Serverless with Knative , April 17. Serverless Architectures with Azure , April 23-24. Creating Serverless APIs with AWS Lambda and API Gateway , May 8.

Course 15

Course Artificial Inteligence Training Machine Learning 15

ParkMyCloud

MARCH 13, 2020

For example, for relational and NoSQL databases, data warehousing, Big Data processing, and/or backup and recovery. Amazon Simple Storage Service (S3) – general purpose object store for user-generated content, active archive, serverless, etc. Use cases: Streaming workloads, big data, data warehouses, log processing.

AWS 57

AWS Storage Comparison Big Data 57

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

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

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

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 69

Course Training Artificial Inteligence Software Review 69

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

O'Reilly Media - Ideas

MAY 1, 2019

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. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 62

Course Training Artificial Inteligence Machine Learning 62

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

Linux Academy

MAY 23, 2019

Linux Academy has over 700 hands-on labs that are exactly like this, including labs on serverless, Linux, security, containers, Azure, Google, Kubernetes, big data, and learning Python.

Linux 60

Linux Backup Lambda AWS 60

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

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

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. Serverless Architecture Using AWS. Habla Computing has a solid expertise in Scala, its ecosystem of libraries and tools, and functional programming. You can benefit from their expertise in any of the courses they offer: Introduction to Scala. JavaScript.

Software Review 9

Software Review Software Development Technical Review Course 9

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. Modern data pipeline with Snowflake technology as its part. Well, almost serverless, to be exact.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Cloud Changes in 2019 While lift and shift application migrations to clouds will continue in 2019, more applications will be modernized to take advantage of the new capabilities of containers, serverless, FPGAs, and other forms of computing. Read the 452 Research report on this capability 2.

Cloud 49

Cloud AWS Open Source Data Center 49

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. Intrinsic’s application runtime security technology for Node.js

Policies 8

Policies Applications Cloud Serverless 8

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

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. Look through the full list of certified Kubernetes-based products here. Framework Programming The Good and the Bad of Node.js

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

Mobilunity

APRIL 28, 2025

Enhanced flexibility and customization guarantee that businesses will always get the right combination of serverless computing power, memory, and data storage that their applications need. Each instance is optimized to achieve maximum value for money whether one is running big data or high-performance applications. #2.

Cloud 40

Cloud AWS Storage Scalability 40

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 9

Software Review Technical Review Compliance Government 9

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