Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. What is SAP Business Intelligence? Database and data management solutions. SAP Business Intelligence.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

CIO

AUGUST 18, 2022

Enter the data lakehouse. 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). And he’s not alone.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

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

CIO

MARCH 21, 2022

Website traffic data, sales figures, bank accounts, or GPS coordinates collected by your smartphone — these are structured forms of data. Unstructured data, the fastest-growing form of data, comes more likely from human input — customer reviews, emails, videos, social media posts, etc. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

CTOvision

JANUARY 19, 2014

The really interesting stories, at least from a CTO perspective, are big technology mega trends that are forcing change and positive improvements in enterprise IT. DARPA has been investing in Robotics for years and reports throughout 2013 showed continued progress in humanoid robots as well as military systems.

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

CTOvision

JANUARY 18, 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. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 214

Government Data Technical Review Policies 214

Altexsoft

MARCH 18, 2021

ETL and ELT are the most widely applied approaches to deliver data from one or many sources to a centralized system for easy access and analysis. With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g ETL made its way to meet that need and became the standard data integration method.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

JUNE 20, 2019

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch.

Systems Review 85

Systems Review System Software Review Open Source 85

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. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

MAY 31, 2019

In this article, we will tell how logistics management systems (or LMS) can bring value by automating processes and using data to make informed decisions. What is Logistics Management System? Logistics management system within logistics processes. Main modules of Logistics Management System. Order management.

Transportation 85

Transportation Systems Review Software Review System 85

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

NOVEMBER 19, 2020

government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports. Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. The Public Sector data challenge. Technology can help.

Government 119

Government Artificial Inteligence Data Machine Learning 119

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Completing secure code reviews.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Datavail

SEPTEMBER 2, 2021

Adding More Flexibility to the Data. The way your data and analytics systems are currently functioning will probably not provide the level of flexibility and agility that your customers will want when they have access to those systems in the cloud. Acquiring New Skills and Capabilities.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

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. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

APRIL 22, 2020

In its core, data science is all about getting data for analysis to produce meaningful and useful insights. The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics. Data engineer responsibilities.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Apiumhub

APRIL 6, 2021

Towards Data Science is helping build an ecosystem of content and welcomes insightful people to share their take on several of innovations in the form of tutorials, tips, analysis, and hands-on experiences, to the readers. On Towards Data Science you will get high-quality content that is specifically designed for data science audiences.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Peer reviews, B2B ratings and sentiment analysis allow you to better understand your customer relationships and risks. It is cloud based, so brokers can access the system from anywhere. Rightindem.

Insurance 96

Insurance Technical Review Artificial Inteligence Policies 96

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage?

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. A wide range of data visualization solutions. Data import capabilities.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

O'Reilly Media - Ideas

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., Thus, many developers will need to curate data, train models, and analyze the results of models.

Artificial Inteligence 111

Artificial Inteligence Machine Learning Technical Review Company 111

Altexsoft

MAY 20, 2020

How an IoT system works. Electronic sensors capture signals from the physical world, convert them into digital form, and feed to the IoT system. Actuators receive signals from the IoT system and translate them into physical actions manipulating equipment. Perception layer: IoT hardware. It easily integrates with.

IoT 141

IoT Azure AWS Transportation 141

AWS Machine Learning - AI

OCTOBER 2, 2024

This approach, when applied to generative AI solutions, means that a specific AI or machine learning (ML) platform configuration can be used to holistically address the operational excellence challenges across the enterprise, allowing the developers of the generative AI solution to focus on business value. Where to start?

Generative AI 106

Generative AI Artificial Inteligence AWS Government 106

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. This model is ideal for startups and businesses with fluctuating workloads due to its scalability, cost-effectiveness and on-demand resource allocation.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. The constant pursuit of actionable insights for strategy improvement is crucial to your business. You can’t just set and forget.

Big Data 40

Big Data Analytics Data Technical Review 40

AWS Machine Learning - AI

AUGUST 8, 2024

RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

Artificial Inteligence 105

Artificial Inteligence Data Generative AI AWS 105

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64