Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Deloitte calculated that companies with data-driven CEOs are 77 percent more likely to succeed) and in today’s business world it’s absolutely self-evident that data is the key to success.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). Its integration with Cognitive Services and Azure Machine Learning means business analysts can also take advantage of machine learning without needing a data scientist — or an Azure subscription.

Artificial Inteligence 313

Artificial Inteligence Azure Machine Learning Metrics 313

Gorilla Logic

MAY 19, 2021

For companies tackling business-critical and complex projects that support digital transformation and the current CEO agenda, the ability to rapidly produce minimum viable products (MVPs) is essential. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Existek

NOVEMBER 22, 2021

Business Intelligence. The business intelligence component works with all the information gathered from the whole system. AWS, Google Cloud Platform, and Microsoft Azure dominate the cloud world and take the first three places on the list of the most used cloud platforms. 1 business analyst. Accounting.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. Business Intelligence Analyst. Here at ParkMyCloud, we talk to a lot of Cloud Architects! IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Datavail

MARCH 4, 2021

Microsoft’s Power BI software for business intelligence and analytics is used by thousands of organizations around the world to uncover hidden insights and make smarter, data-driven decisions. Artificial intelligence (AI) for BI to help users explore data and find new patterns and connections, without writing a single line of code.

Performance 52

Performance Azure Analytics Artificial Intelligence 52

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. The files can be loaded from cloud storage like Microsoft Azure or Amazon S3. Is it a flat-rate or on-demand model?

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

FEBRUARY 24, 2023

Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. But even a seasoned software developer or DevOps engineer can find Kubernetes intimidating in the beginning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Protera

MAY 23, 2023

There are several quality cloud providers on the market, but you want to choose the one that best aligns with your unique business requirements and objectives. Other areas of focus to this end could include security, performance efficiency, scalability, and of course cost.

Cloud 52

Cloud Testing Data Center Systems Review 52

CTOvision

MARCH 13, 2017

Major cloud infrastructure services like Microsoft Azure and Amazon Web Services have fueled new hiring strategies, with 81% of enterprises adopting DevOps strategies and engineers. Still, for business leaders without a strong technical background, cloud computing can seem almost impenetrable.

Cloud 99

Cloud Real Estate Data Center Infrastructure 99

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. 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 Open Source Data Center 49

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. DevOps is another trend becoming increasingly popular in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

In the domain of stream processing, there’s Kafka, Flink, and a spate of cloud stream-processing services (AWS Kinesis, Azure Stream Analytics). a straightforward option for processing data workloads: they submit code to and have it execute in any of several cloud FaaS engines (AWS Lambda, Azure Functions, etc.)

Conference 8

Conference Data Data Engineering Big Data 8

Cloudera

JUNE 16, 2022

While for a DevOps/app team, the user is primarily interested in the entities associated with their applications. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. Getting started today.

Data 90

Data Disaster Recovery Analytics Microservices 90

Altexsoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64