Altexsoft

AUGUST 13, 2020

As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. Business intelligence (BI) exists to address the problem of capturing and understanding data. Business intelligence in hotels: sources of data and components. Business intelligence use cases for hotels.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. First, they adopt a data warehouse to centralize all current and historical data under the same roof.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

JANUARY 26, 2023

For the freight transportation company, business intelligence (BI) is one area where IT can have a top-line impact. “We For instance, having an in-house team ensures 100% patching of all my network devices on time. Patching happens at odd hours when the business isn’t operating. What storage do we have?’

Budget 345

Budget Fractional CTO Off-The-Shelf Tourism 345

Kaseya

NOVEMBER 9, 2023

The cloud or cloud computing is a global network of distributed servers hosting software and infrastructure accessed over the internet. Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Cloudera

AUGUST 21, 2024

release was named a finalist under the category of Business Intelligence and Data Analytics. Embracing the Open Data Lakehouse The selection of Cloudera’s Open Data Lakehouse signals just how important this platform has become with the rise of artificial intelligence (AI) and generative AI (GenAI) alike.

Innovation 64

Innovation Disaster Recovery Data Artificial Intelligence 64

The Crazy Programmer

MAY 12, 2021

Choosing the right data storage solution will depend greatly on how the data is going to be used. Here are some examples: Healthcare: Data lakes help healthcare organizations to comply with regulations on data storage and privacy. Should you store the data in a database, a data warehouse, or a data lake?

Data 162

Data Healthcare IoT Analytics 162

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Government 107

Government Enterprise Strategy Data 107

Kentik

JANUARY 19, 2016

In today’s hyperconnected world, the network sees all. Network operators can capture a tremendous amount of useful data from their infrastructure. Everything about your business traverses the network. Network data is a source of truth for everything in the modern business.

Network 40

Network Cloud Data Big Data 40

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Kentik

MAY 23, 2017

Why Every ISP Needs a Robust Network Monitoring Solution. Their customers might be consumers, businesses, or a mix of the two. To do that in today’s network environment, ISPs need deeper network visibility. Note that the above use cases cover network performance monitoring, planning, and business intelligence.

Network 40

Network Open Source Big Data Load Balancer 40

Invid Group

NOVEMBER 11, 2020

Learn about Data Warehouse and How can Improve your Company BY: NEISHA SANTIAGO Many organizations have moved from server-based data storage to data warehousing for their storage necessities to integrate data from multiple source systems. Delivers Enhanced Business Intelligence. Saves Time. Improves Data Consistency.

Company 52

Company Data Storage Business Intelligence 52

Kentik

JULY 18, 2016

Irwin’s story may be interesting, but what does it have to do with network traffic data? The answer is rooted in the experience of Kentik’s founders, who’ve spent decades building and operating some of the world’s biggest and most complex networks. I wrote previously about this kind of potential in Moneyball Your Network.)

Big Data 40

Big Data Network Analytics Data 40

CIO

SEPTEMBER 22, 2023

The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice. Google Audience Center Anyone targeting Google, YouTube, or its ad networks can use Google Audience Center to track performance of the various ads in all of the channels.

Data 264

Data Advertising Report Marketing 264

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

AUGUST 12, 2020

Most commonly, these layers are: the perception layer hosting smart things; the connectivity or transport layer transferring data from the physical layer to the cloud and vice versa via networks and gateways; the processing layer employing IoT platforms to accumulate and manage all data streams; and.

IoT 140

IoT Architecture Wireless Transportation 140

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Data 52

Data Storage Analytics Budget 52

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

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

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

O'Reilly Media - Data

JULY 23, 2018

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Rationalizing Risk in AI/ML. Case studies.

Artificial Inteligence 123

Artificial Inteligence Machine Learning How To Case Study 123

Cloudera

OCTOBER 25, 2022

The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment. Network perimeter. After hardening the cloud account, it is important to design the network path for the environment.

Cloud 52

Cloud Data Firewall AWS 52

Datavail

JUNE 13, 2019

For example, virtual private networks (VPNs) can be merged by integration into one account, peering existing cloud networks, or combining into a tiered parent company and child company account. In addition, there are often tough decisions to make about storage and analytics platforms when planning large-scale IT mergers.

Cloud 75

Cloud Systems Review Technical Review Software Review 75

Datavail

APRIL 13, 2022

The fields of business intelligence and analytics depend on a reliable, consistent ETL pipeline that continually gives users access to fresh, up-to-the-minute information. High amounts of network latency may be an unexpected bottleneck, holding you back from performing ETL at maximum speed.

Data 52

Data How To Case Study Storage 52

Altexsoft

MAY 20, 2020

The technology will move into an even higher gear with the arrival of fifth-generation or 5G networks supporting a million gadgets per square kilometer — ten times as many as in the current era of 4G. IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

FEBRUARY 2, 2023

An RTLS or real-time location system is an autonomous, IoT -based network of connected devices that enables tracking and identification of objects. Then, all this data is transferred to the cloud for storage and processing. Underutilized storage space. What is RTLS and which warehouse challenges does it address?

IoT 52

IoT Systems Review System Storage 52

Honeycomb

FEBRUARY 3, 2022

You probably have already answered this before, but do you have a good rule of thumb for where o11y [observability] ends and BI [business intelligence]/data warehouses begin? Which is a very real, very common tradeoff that you have to make with massively parallelized distributed systems across flaky networks. And it’s fast.

Tools 52

Tools Data Business Intelligence Analysis 52

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data).

Data 95

Data Analytics Storage Big Data 95

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?

Backup 115

Backup Azure Architecture Software Review 115

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Data 108

Data Artificial Inteligence Machine Learning Tools 108

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.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

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? What does the complete Gartner Magic Quadrant report say about Microsoft Power BI?

Banking 52

Banking Technical Review Compliance Business Intelligence 52

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. By borrowing “Zero Trust” concepts from the world of networking, you can implement fine-grained privacy and governance controls, even as you expand your ability to share and capitalize on your data.

Big Data 62

Big Data Organization Data Business Intelligence 62

Apiumhub

APRIL 22, 2021

Data modeling tools become critical here because they enable organizations to make data-driven decisions and meet varied business goals. Data modeling is the process of visualizing and representing data for storage in a data warehouse. Network models organize data in a graph structure. What is Data Modeling?

Tools 59

Tools Data Business Intelligence Analytics 59

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Registration & Networking Breakfast. Networking Break. Enabling Business Results with Big Data. Networking Luncheon. Register here.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

JULY 18, 2023

It’s a powerful tool for social network analysis, PageRank algorithms, and building recommendation systems. Distributed: RDDs are distributed across the network, enabling them to be processed in parallel. Additional tabs give information about storage, environment settings, and more, depending on Spark’s components.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

O'Reilly Media - Data

MAY 3, 2018

Business intelligence and analytics. In 2015, researchers at the University of Texas and Cornell University showed that one can “design, implement, and evaluate a practical system that enables multiple parties to jointly learn an accurate neural network model for a given objective without sharing their input data sets.”

Analytics 130

Analytics Artificial Inteligence Data Machine Learning 130

Altexsoft

OCTOBER 30, 2021

Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Then, a data scientist uses complex business intelligence tools to present business insights to executives. Providing data access tools. Monitor the infrastructure.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98