Altexsoft

NOVEMBER 28, 2019

But, as a business, you might be interested in extracting value of this information instead of just collecting it. Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. But how do you move data? The simplest illustration for a data pipeline.

Data 76

Data Storage Analytics Data Center 76

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. Is it still so?

Backup 115

Backup Azure Software Review Systems Review 115

ParkMyCloud

MAY 29, 2019

There is exponential growth in the cloud computing industry, so it’s no surprise that the demand for cloud computing intellect and skills is also increasing, with no slowing down in the foreseeable future. Business Intelligence Analyst. IoT Engineer. Here are some trends we’re seeing. Cloud Consultants.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. 150 for storage use = $15 / TB / month x 10 TB.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. More formats, more engines, more interoperability.

Data 94

Data Analytics Open Source Architecture 94

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. Data engineer. Database/Warehouse developer.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data 82

Data Analytics Cloud Technical Review 82

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?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

SEPTEMBER 20, 2019

Not only technological companies are concerned about data analysis, but any kind of business is. Analyzing business information to facilitate data-driven decision making is what we call business intelligence or BI. How is data visualized in BI? Business intelligence data processing in a nutshell.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata storage usually implies developing a specialized repository. Metadata storage. What is metadata management?

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 14, 2021

You can start investing in data infrastructure and analytical pipelines to automate data collection and analysis mechanisms. You’ll need a data engineering team for that. How data engineers and data platforms work. Customer data is heavily regulated.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

FEBRUARY 22, 2022

In a broader sense, it can also be called a computerized maintenance management system or CMMS (the difference is that a CMMS can be used in other industries as well). Some examples of such industry data providers are JATO , HaynesPro , or hpi. It’s an awful lot of data, so it has to be processed with special tools.

Software Review 52

Software Review Technical Review Software Technology 52

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

Altexsoft

DECEMBER 14, 2022

Then came standardized intermodal containers that revolutionized the transportation industry. A container engine acts as an interface between the containers and a host operating system and allocates the required resources. Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

NOVEMBER 9, 2021

Digitization has already greatly improved this business aspect, facilitating contract creation and editing, introducing e-signatures, increasing security, tracking expiration dates, and enabling convenient search and storage functionalities. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

In 2016, the company attrition rates were 4 percent higher over the industry benchmark. HR specialists couldn’t find out the reasons why people leave the organization because they didn’t have relevant data that would provide a multidimensional view of their workforce. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

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

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Source: Allied Market Research.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JULY 19, 2022

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. And it’s their job to guarantee data quality.

Architecture 52

Architecture Data Analytics Data Engineering 52

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. Make sure you have encryption for data in motion as well as at rest. Data loss prevention.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Let’s take the transportation industry for example.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Following this logic, any other writer with a short and memorable name — say, Gogol, Orwell, or Tolkien — could have become a symbol of endless data streams. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

OCTOBER 8, 2021

Data integration process. On the enterprise level, data integration may cover a wider array of data management tasks including. application integration — the process of enabling individual applications to communicate with one another by exchanging data. Xplenty: convenient low-code environment for data integration.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

NOVEMBER 22, 2019

In this article, we’ll talk about proven data management approaches and technologies utilized in the hospitality industry to boost revenue and enhance customer experience. What is data management? Data management is a policy and practice of treating data as a valuable resource. Booking and property data.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64