CIO

FEBRUARY 6, 2023

Liberty Mutual, which has been an industry leader in digital transformation, operates a hybrid cloud infrastructure built primarily on Amazon Web Services but with specific uses of Microsoft Azure and, lesser so, Google Cloud Platform. Digital Transformation, Insurance Industry

Insurance 331

Insurance Artificial Inteligence Machine Learning Virtualization 331

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

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 Scalability Analytics Google Cloud 52

CIO

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Real Estate 246

Real Estate Data Generative AI Machine Learning 246

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

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.

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. Oracle Specialized Partner for Business Intelligence.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

Sustainability 87

Sustainability Company Machine Learning Artificial Inteligence 87

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

CTOvision

FEBRUARY 17, 2015

“As enterprise IT architectures are becoming more open and flexible to accommodate new tools, data types and data volumes, Cloudera Impala has seen rapid adoption among organizations of all sizes, including over one million open source downloads and hundreds of Cloudera customers,” said Tim Stevens, VP business and corporate development, Cloudera.

Big Data 109

Big Data Analytics AWS Data 109

Existek

NOVEMBER 22, 2021

Business Intelligence. The business intelligence component works with all the information gathered from the whole system. Cloud Platforms. 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.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

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. While SQL is used, the primary processing is done with programming languages like Java, Scala and Python.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 97

Big Data Azure Google Cloud Data 97

TechCrunch

JUNE 30, 2022

Snowplow , a platform designed to create data for AI and business intelligence applications, today announced that it raised $40 million in a Series B funding round led by NEA, Snowplow investors, Atlantic Bridge and MMC.

Data 187

Data Analytics Business Intelligence Google Cloud 187

Apiumhub

AUGUST 12, 2021

Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Cloud Paris and enjoys exploring, learning, and sharing the world of possibilities. In a past life, he worked on educational solutions, pioneered the ebook industry, and co-founded Bookeen.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The lakehouse as best practice.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

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

CIO

AUGUST 5, 2022

Some of the most popular include the following: Domo: Domo is a cloud software company that specializes in business intelligence tools and data visualization. It focuses on business-user deployed dashboards and ease of use, making it a good choice for small businesses seeking to create custom apps.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

MAY 20, 2020

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. The solution also comes pre-integrated with Software AG Cloud and Quantela , a smart city automation and AI platform. Google Cloud IoT Core.

IoT 141

IoT Azure AWS Transportation 141

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

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. As such, it is considered cloud-agnostic. Modern data pipeline with Snowflake technology as its part.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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. The majority of interfaces are represented by business intelligence dashboards. An overview of data warehouse types.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

DataRobot

SEPTEMBER 6, 2022

Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. See DataRobot AI Cloud in Action. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

Data Virtualization

APRIL 7, 2020

Cloud marketplaces are not new and provide users with a smart, low-touch, easy way to get started with data management in the cloud. In today’s market buyers want better solutions to meet their personalized needs, and this has made public.

Cloud 52

Cloud Meeting Data Marketing 52

Altexsoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud.

Big Data 59

Big Data Data Google Cloud Storage 59

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

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.

Data Center 52

Data Center Cloud Google Cloud Analytics 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 48

Artificial Inteligence Machine Learning Tools Azure 48

Altexsoft

FEBRUARY 24, 2023

Getting Started With Google Kubernetes Engine (GKE) on Coursera. The course offered by Google Cloud focuses on GKE, comparing its functionality with vanilla Kubernetes. At the end of the training, you’ll be able to create containers, and deploy, monitor, and manage a Kubernetes cluster with GKE and other Google Cloud services.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

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. Teradata data warehouse can be integrated with Informatica, Google Cloud, Microsoft Azure, and other leading cloud providers.

Backup 115

Backup Azure Software Review Systems Review 115

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

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. Cloud computing enables financial institutions to access IT resources, such as servers, storage, and software, over the internet.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. It links to the broker to be aware of and fetch certain updates. So, publishers and subscribers know nothing about each other.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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

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