Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. This could be a transactional database or any other storage we take data from. An overview of data warehouse types.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. 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. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Architecture 115

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

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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 platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Cloud computing – How does it work? The cost of cloud storage varies depending on your needs.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Databricks lakehouse platform architecture. Delta Lake integrations.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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

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. Oracle Specialized Partner for Business Intelligence.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

FEBRUARY 24, 2023

For testing purposes, a cluster may have a single node but on average it uses five nodes with 16 to 32 GB of memory each in the public clouds and nine nodes with 32 to 64 GB when deployed on-premises Components of a Kubernetes cluster. Getting Started With Google Kubernetes Engine (GKE) on Coursera.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. A topic, in turn, is divided into partitions — the smallest units of storage space, hosting an ordered sequence of messages. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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

Zensar

MARCH 4, 2019

Cloud Service Providers like Azure, AWS , Google Cloud Platform, etc provide their recommendations for implementing IAM. IAM best practices include policies like Single Sign-On (SSO), Multi-factor Authentication (MFA), Role-based Access Control (RBAC), etc. Implementing Single Sign-On (SSO).

Azure 40

Azure Data Authentication Policies 40

Datavail

JULY 31, 2019

Apache Hadoop is an open-source software framework for distributed storage and processing of massive data sets. According to a 2018 survey by Cloud Foundry, use of container technology in production is now at 38 percent of companies and rising. A Brief History of Hadoop. From Hadoop to Kubernetes. Since version 2.6

Development 8

Development Big Data Open Source Google Cloud 8

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. Assuming your teams will learn on the job is a mistake that will lead to any number of issues that inhibit your cloud operations and cause frustration for your end users.

Cloud 52

Cloud Testing Data Center Systems Review 52

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. Developers working in environments that apply Google Cloud for their intelligent solutions would benefit the most from it. Business Intelligence developer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Strategy Driven

MAY 26, 2021

Large corporations such as Amazon, Microsoft, and Google apply their own machine learning tools to their own business and have developed consumer-level AI suites for use by other businesses that don’t require knowledge of complicated AI programming and can be used for specific data analysis and modeling. Google Cloud AI.

Artificial Inteligence 34

Artificial Inteligence Machine Learning Tools Azure 34

Altexsoft

SEPTEMBER 21, 2023

Business workflow automation. You can leverage Elasticsearch as a storage engine to automate complex business workflows, from inventory management to customer relationship management (CRM). Each document has unique metadata fields like index , type , and id that help identify its storage location and nature.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

JULY 19, 2022

It’s often used by internal apps managing business processes — ERPs, accounting software, and medical practice management systems , to name just a few. The analytical plane embraces data that is collected and transformed for analytical purposes such as enterprise reporting, business intelligence , data science , etc.

Architecture 52

Architecture Data Analytics Data Engineering 52

Existek

JANUARY 27, 2023

Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments. 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.

Software Development 52

Software Development Trends Technology Software 52

Openxcell

DECEMBER 27, 2024

Over time, the company has delivered some of the best solutions to businesses worldwide. The bank was primarily using an outdated platform for data storage. Accenture built an AI-backed data warehouse and ensured that performance could be tracked easily with Microsoft Azure Cloud and Power BI.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

O'Reilly Media - Ideas

JANUARY 14, 2025

SQL, the common language of all database work, is up 3.2%; Power BI was up 3.0%, along with the more general (and much smaller) topic Business Intelligence (up 5.0%). In our skill taxonomy, Data Lake includes Data Lakehouse , a data storage architecture that combines features of data lakes and data warehouses.)

Trends 133

Trends Technology Security Artificial Inteligence 133

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. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. What is Hadoop? a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

FEBRUARY 24, 2021

To work with medical documents you must add them to Amazon S3 storage. Google Cloud Healthcare API. Google introduced its Healthcare API in 2020 to enable seamless data exchange between existing health systems and apps hosted on Google Cloud. tracking actions that affect their data.

Study 75

Study Survey Data Healthcare 75