Altexsoft

MAY 20, 2020

Microsoft Azure IoT. In addition to broad sets of tools, it offers easy integrations with other popular AWS services taking advantage of Amazon’s scalable storage, computing power, and advanced AI capabilities. Top five solutions for building IoT. Below, we’ll explore building blocks of key platforms in more detail. Digital Twins.

IoT 141

IoT Azure AWS Transportation 141

TechCrunch

FEBRUARY 17, 2021

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph founder and CEO, Yu Xu.

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

CIO

DECEMBER 19, 2024

She breaks down the skills demands as follows: Cloud architects/engineers: Cloud platforms skills with AWS, Microsoft Azure, and Google Cloud are essential for managing the massive datasets generated by renewable energy grids, smart cities, and sustainability projects.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Microsoft Azure services. Flow of data and ETL.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. Organizations can quickly solve these business challenges by embracing Azure Synapse Analytics, a limitless analytics service that brings together enterprise DWH and big data analytics. Breaking Down Data Silos With Azure Synapse. Thu, 07/29/2021 - 05:30.

Azure 52

Azure Analytics Data 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. Scalability opportunities. Scalability. The variety of data explodes and on-premises options fail to handle it.

Backup 115

Backup Azure Software Review Architecture 115

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Datavail

OCTOBER 14, 2021

All of Microsoft’s cloud products, including cloud-based deployments of Dynamics 365, are hosted on the company’s own cloud platform, Azure. When it comes to Azure, there are many critical layers to its security model. Improved Scalability. In contrast, deploying to the cloud is fast and simple. Data Security. uptime guarantee.

Backup 98

Backup Data Center Azure Cloud 98

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability.

Azure 40

Azure Analytics Artificial Inteligence Machine Learning 40

Sunflower Lab

OCTOBER 2, 2023

With that confidence and capability, we continue to profess only the best practices in the business arena so that it would not only give an edge over your competitor but also puts you well ahead of everyone in the industry. Data Integration in Azure Synapse Various tools can be used to input data into Synapse.

Azure 40

Azure Analytics UI/UX Software Review 40

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. When we talk about traditional analytics, we mean business intelligence (BI) methods and technical infrastructure. BI is a practice of supporting data-driven business decision-making.

Analytics 20

Analytics Data IoT Analysis 20

Invid Group

AUGUST 28, 2024

AWS, Azure, and Google provide fully managed platforms, tools, training, and certifications to prototype and deploy AI solutions at scale. For instance, AWS Sagemaker, AWS Bedrock, Azure AI Search, Azure Open AI, and Google Vertex AI [3,4,5,6,7].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Analytics Scalability Google Cloud 52

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. He highlighted how customers can benefit from a move to cloud-native databases like those offered by AWS and Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

DECEMBER 14, 2020

Unstructured data, on the other hand, offers more flexibility and scalability. Such databases can process huge volumes of data and deal with high user loads as they are quite flexible and scalable. Microsoft Azure. Yet, this data is subjective and more difficult to work with. In these collections, there are so-called documents.

Data 93

Data Artificial Inteligence Storage Analytics 93

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Microsoft Azure.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Agility and scalability.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. This fact makes MySQL even more attractive and gives businesses using it a room for growth. Scalability challenges. MySQL was not built with scalability in mind,which is inherent in its code. Vertical scalability is a hallmark of PostgreSQL, unlike MySQL DBMS.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

FEBRUARY 11, 2023

machine learning and deep learning models; and business intelligence tools. Eventually, data architects create a blueprint — or a high-level scheme — of data infrastructure, build data flow diagrams, and offer a tech stack that will support the data management strategy and make data bring business value.

Data 87

Data Data Engineering Big Data Architecture 87

RapidValue

SEPTEMBER 30, 2019

Team-based business intelligence and analytics. Assembly lines assist you to organize and integrate various activities in consistent, scalable workflow. Accurate Continuous Deployment with interoperability. Powerful nested visibility. Rapid onboarding and scale with “as-code” philosophy. Native integrations.

DevOps 60

DevOps Continuous Delivery Continuous Integration Testing 60

Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. Lakehouse of Microsoft Fabric eliminates this downside by providing power of Apache Spark, which can be used in Notebooks to handle complicated requirements.

Data 64

Data Azure Case Study Data Engineering 64

Altexsoft

OCTOBER 2, 2020

Data analytics and business intelligence: drawing insights from data. Specialist responsible for the area: data analyst, business intelligence analyst, data scientist, marketing analyst. Business intelligence uses data for better decision-making regarding organizational operations. The platform includes.

Strategy 64

Strategy Database Administration Data Technical Review 64

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. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

DataRobot

SEPTEMBER 14, 2021

Ensuring you can harness the power of your data, wherever it lives, you can implement DataRobot with major cloud providers including AWS , Google Cloud , and Azure. A Broad Set of Users: Integrate your preferred business intelligence partners and enterprise applications seamlessly to unite technical and non-technical users. “Our

Data Center 52

Data Center Cloud Google Cloud Analytics 52

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. A subscriber is a receiving program such as an end-user app or business intelligence tool. Scalability. Scalability is one of Kafka’s key selling points. It links to the broker to be aware of and fetch certain updates.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. Azure Private Link support.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Mobilunity

DECEMBER 9, 2024

Microsoft Certified: Azure AI Engineer Associate is a perfect fit for engineers who want to focus on AI development with Microsofts Azure platform. It includes matters like the usage of Azures AI services for building, training, and deploying AI models, enhancing automation, and machine learning tasks. AI solutions architect.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Cloudera

SEPTEMBER 9, 2018

It enables organizations to address their data warehousing reporting needs by making it quick and easy to consolidate data into a single repository yet still service your users’ needs in a scalable and cost-effective way. Altus Data Warehouse for SQL and business intelligence reporting and analytics.

Data 40

Data Data Engineering Analytics Cloud 40

Datavail

AUGUST 6, 2020

Enterprise IT has moved to the cloud in recent years, and business analytics is no exception. The most common platforms are AWS , Azure/Power BI , and Oracle/OAC Do. In one report by Gartner, 97 percent of the analytics and BI platforms studied offered a cloud version of the software. So what’s all the fuss about?

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. Published originally on O’Reilly.com.

Cloud 43

Cloud Data Storage Analytics 43

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Gorilla Logic

MAY 19, 2021

Depending on the maturity of your cloud strategy and the requirements of your project, you may need a software outsourcing partner with a broad range of cloud expertise to help: • Architect solutions to deploy in the cloud, whether public clouds such as AWS and Microsoft Azure, multi-cloud, hybrid cloud, or private cloud .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources. Read the 452 Research report on this capability 2.

Cloud 49

Cloud AWS Open Source Data Center 49