Existek

NOVEMBER 22, 2021

Need an enterprise app to boost your business efficiency but don’t know where to start? This article will serve as a step-by-step guide to enterprise web development. Those solutions are designed for streamlining and automating the business processes, which can greatly benefit business owners. List of the Content.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. Most technology functions of businesses today are SaaS-driven. That’s where business intelligence (BI) apps and tools come in.

Business Intelligence 228

Business Intelligence Small Business Weak Development Team Analytics 228

Xebia

JANUARY 19, 2023

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – 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.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

FEBRUARY 28, 2023

Academic Medical Center Case Study This was an academic medical center that was running into challenges to integrate large data sets securely and quickly to make the data usable and valuable to its providers and researchers. They initially had a traditional, on-premises enterprise data warehouse to store and analyze data.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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. Unstructured data.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Kentik

JULY 10, 2018

This series of guest posts has concentrated on the numerous challenges facing enterprise IT managers as businesses embrace digital transformation and migrate IT applications from private data centers into the cloud. Network data is big data. In this post, I would like to finally expand on this theme.

Tools 45

Tools Cloud Big Data WAN 45

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. Which firms have something so important that you should push hard to get them into your enterprise?

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Only useable for data-oriented developers or analysts. Use Cases of ETL. Conclusion.

Company 78

Company Data Technical Review Analysis 78

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 article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. Using patented data sharpening and micro-query technologies, Zoomdata empowers business users to visually consume data in seconds, even across billions of rows of data. Intelligence Community (IC).

Big Data 60

Big Data Data Analytics Business Intelligence 60

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

CTOvision

SEPTEMBER 9, 2016

Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. Intelligence Community (IC).

Big Data 60

Big Data Data Analytics Scalability 60

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. It provides data consumers with. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

CTOvision

MARCH 13, 2015

Cognos is a name that has been in the enterprise world since 1969. It has been in the business intelligence sector competing with capabilities from Business Objects, Microstrategy and Oracle. It is marketed as an open, enterprise-class platform. Big data interoperability. By May Gourley.

Business Intelligence 89

Business Intelligence SOA Analytics Analysis 89

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Scalability.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JANUARY 22, 2020

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. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

Kaseya

NOVEMBER 9, 2023

As the digital horizon expands, businesses worldwide are embracing the cloud, recognizing its transformative capabilities in orchestrating efficiency, progress and sustained growth for modern enterprises. Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

CTOvision

JUNE 9, 2016

Why your CTO Makes or Breaks your Enterprise Mobile Strategy. Today mobile devices outnumber people in the world, and both entrepreneurs and enterprises should understand the increasing importance of mobile. The reality however is that many enterprises are struggling to embrace mobile as a key part of their strategy for growth.

Mobile 64

Mobile Enterprise Strategy Business Intelligence 64

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

Altexsoft

MARCH 18, 2021

The primary difference resides in WHERE and WHEN data transformation and loading happens. With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. 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.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. The Complications Of Analyzing SAP Data. 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. Scalability and feasibility for larger table extraction.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management. Fraudulent Activity Detection.

Government 115

Government Artificial Inteligence Machine Learning Data 115

Kentik

FEBRUARY 14, 2023

Through instrumentation, integrations, automated analysis, visualizations, and a full suite of data management features, data platforms offer data managers and engineers a unique opportunity to interact with distributed data at a scale that would otherwise exist in siloed data infrastructures. Extensible.

Network 52

Network Data Artificial Inteligence Analysis 52

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing.

Architecture 50

Architecture Enterprise Data Technical Review 50

Perficient

MARCH 14, 2023

As an AWS partner , we have extensive experience with Big Data , data warehousing , business intelligence , and analytics , and work with our clients to transform data into timely and actionable insights using AWS services such as AWS Glue, Amazon Redshift, Amazon Quicksight, and Athena.

Data 64

Data Healthcare AWS Analytics 64

Existek

JANUARY 27, 2023

Financial services companies handle sensitive customer data, and a data breach can have severe consequences for the company and its customers. Scalability is also a significant challenge for financial services software development. Those platforms also help to manage loan accounts, track payments, and generate reports.

Software Development 52

Software Development Trends Technology Software 52

Mobilunity

MARCH 26, 2024

Consequently, this leads to a unified environment where data is not isolated but flows seamlessly thus simplifying operations. Improved Efficiency: Streamlining of processes and automated data transfers minimize manual efforts and enhance operational productivity.

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Scalability. Scalability is one of Kafka’s key selling points.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JANUARY 14, 2021

A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW). It is usually created and used primarily for data reporting and analysis purposes. The variety of data explodes and on-premises options fail to handle it. Scalability opportunities.

Backup 115

Backup Azure Software Review Systems Review 115