Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

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. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Flexagon

MARCH 1, 2022

The COTS support includes traditional on-prem database, middleware, business intelligence, applications, and cloud services for infrastructure, platform, and software applications. secrets management tools like CyberArk and Azure Key Vault . Vast Toolchain Integration Library. Examples include integration with: .

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Protera

SEPTEMBER 13, 2022

Business intelligence managed services are an alternative for enterprisess without the maturity or bandwidth to manage a platform solution. Enterprise managed services are ongoing operational support services delivered by a third-party provider so that companies can stay focused on mission-critical business activities.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

The Citus Data

MARCH 3, 2020

Interview with the Postgres committers who have joined the Postgres team at Microsoft by Sudhakar Sannakkayala (Partner Director, Azure Data) and Ozgun Erdogan (Principal, Azure Data)— cross-posted from the Azure Postgres blog. His interests include parallelism, performance, and portability.

Azure 21

Azure Open Source Systems Review Software Review 21

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The platform comprises ingest, transformation, and storage services in the public cloud, and on-prem RDBMS’s, EDW’s, and a large, ungoverned legacy data lake.

Enterprise 48

Enterprise Cloud Data Healthcare 48

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

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.

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.

Enterprise 130

Enterprise Applications Development Scalability 130

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. Breaking Down Data Silos With Azure Synapse. The Importance of a Cloud-Based, SQL Analytics System.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Source: IoT Analytics. Microsoft Azure IoT.

IoT 141

IoT Azure AWS Transportation 141

Datavail

MAY 28, 2019

Most organizations struggle with managing the variety of technological resources involved in their projects, from communications apps to data storage and access processing and real-time productivity metrics. The Power Platform is a direct response to today’s demand for control over business information and outcomes.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Metrics Programming 40

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

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

Big Data 83

Big Data Azure Google Cloud Data 83

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. What is OLAP: Online Analytical Processing. What is data pipeline.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? Separate storage. You also do not want to risk your company-wide cloud consumption costs snowballing out of control.

Analytics 93

Analytics Storage Technical Review Virtualization 93

Sunflower Lab

MARCH 18, 2024

Enabling Financial Leaders to Propel Success with Power BI Service Why do people and leading companies across the industries continue to choose and utilize Power BI service for thier business intelligence? These features establish it as a top-tier platform for data analytics. Need to discover a one-shot to data success?

Banking 52

Banking Compliance Technical Review Business Intelligence 52

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

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. Is it still so? Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). We’ll get back to the types of storages a bit later. Transform – moving data in a temporary storage known as a staging area.

Data 76

Data Storage Analytics Data Center 76

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Altexsoft

DECEMBER 14, 2020

On top of that, structured data doesn’t normally require much storage space. For analytical purposes, you can use data warehouses. DW are central data storages used by companies for data analysis and reporting. A data lake is a storage repository or system meant to store huge volumes of data in its natural/raw formats.

Data 93

Data Artificial Inteligence Storage Analytics 93

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. within a single, centralized location for analytics and reporting. Each node has its own disk storage.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Datavail

JUNE 13, 2019

In particular, businesses that use cloud computing technologies like Amazon Web Services and Microsoft Azure are more likely to have a successful merger. In addition, there are often tough decisions to make about storage and analytics platforms when planning large-scale IT mergers. Easier integration. 71 percent of U.S.

Cloud 75

Cloud Systems Review Technical Review Software Review 75

Openxcell

AUGUST 28, 2023

b) Fine-tuned planning and reporting As businesses expand, data storage and management become crucial. They also have the capability to generate reports and analytics, which helps in decision-making across diverse platforms. d) Streamlined efficiency Enterprise software integrates advanced technologies like analytics and AI.

Enterprise 52

Enterprise Applications Development Software Review 52

Altexsoft

FEBRUARY 2, 2023

Real-time tracking systems and advanced analytics software can optimize warehouse workflows. Then, all this data is transferred to the cloud for storage and processing. Such systems are also used for tracking people within the facility for security, navigation, or analytics purposes. Underutilized storage space.

IoT 52

IoT Systems Review System Storage 52

Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. Ideally this should not affect analytics, as for weekend Friday day-end position would continue. Fabric brings all the required services into a single platform. Assuming 4.00

Data 64

Data Azure Case Study Data Engineering 64

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. How HDFS master-slave structure works.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Data lake.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52