Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

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CIO

AUGUST 5, 2022

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization. What are some data visualization examples?

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

MARCH 31, 2020

When it comes to building and managing infrastructure for data movement and its strategic usage, that’s the duty of data engineers. Data pipeline components. To understand how the data pipeline works in general, let’s see what a pipeline usually consists of. Data pipeline components. Processing.

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Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. For example, there’s always demand for major raw materials such as wood, coal, wheat, or steel — and the fluctuations are mostly rather moderate. Price forecast with Beroe. Ambiguity detection.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Order of process phases. Flexibility.

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Tools Software Review Systems Review Testing 52

Altexsoft

JULY 19, 2022

Data mesh is a set of principles for designing a modern distributed data architecture that focuses on business domains, not the technology used, and treats data as a product. For example, your organization has an HR platform that produces employee data. Decentralized data ownership by domain.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

FEBRUARY 22, 2022

If, for example, your fleet management system doesn’t have that maintenance module, you can implement specialized fleet maintenance software. Some systems offer additional functions such as fuel tracking, trip logs, documentation management (for example, insurance and registration cards), etc.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? The example of star schema. The example of snowflake schema.

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Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. For example, financial numerics of different formats $34.50, 0.90

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Abhishek Tiwari

JULY 20, 2019

Specialisation could be around products, business process, or technologies. Let's take an example of retail as a domain of interest. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process.

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Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

OCTOBER 21, 2022

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? Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to.

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Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. For example, CIS guidelines describe detailed configuration settings to secure your AWS account.

Cloud 52

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Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Kentik

SEPTEMBER 5, 2017

To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect. Devices : Select all routers.

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Transportation Network Analysis Groups 40

Altexsoft

OCTOBER 3, 2019

People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning. Descriptive analytics is used to gather and analyze data that represents the current state of things or historical events.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

MAY 14, 2021

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. Let’s take the transportation industry for example. Data storage and processing. Source: Marriott.

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Big Data Analytics Tools Applications 78

Altexsoft

NOVEMBER 22, 2019

Key performance metrics (KPIs) — such as Average Daily Rate (average price per room), occupancy rate (the percentage of available rooms), Revenue per Available Room (RevPAR). Previously, the only way data could get into the PMS was the manual input performed by a front-desk manager. An example of a CRM guest profile.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

DECEMBER 9, 2020

Some well-known and widely quoted examples are Albert Einstein saying, “The intuitive mind is a sacred gift,” and Steve Jobs with his “Have the courage to follow your heart and intuition.”. In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Descriptive analytics 
 Descriptive analytics summarizes historical data, describing what has happened in the past and providing a clear picture of events or patterns.

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