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

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. 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.

Big Data 59

Big Data Data Google Cloud Open Source 59

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure. Pulling it all together.

Artificial Inteligence 295

Artificial Inteligence Data Artificial Intelligence Analytics 295

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

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

Xicom

OCTOBER 15, 2021

Often, service providers have their mobile apps built to address specific services; there are low chances that individuals wouldn’t download them as no mobile app has mammoth storage to impel them all. This is where a super app like GoJek comes into the big picture. VoIP Feature. Regular Currency Update.

Technical Review 52

Technical Review Technology Mobile VOIP 52

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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 102

Data Artificial Inteligence Machine Learning Tools 102

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types. This could be a transactional database or any other storage we take data from.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

OCTOBER 30, 2021

The movement of data from its source to analytical tools for end users requires a whole infrastructure, and although this flow of data must be automated, building and maintaining it is a task of a data engineer. Data engineers are programmers that create software solutions with big data. Feature engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

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

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

DECEMBER 14, 2020

Unstructured data doesn’t have any pre-defined structure to it and comes in all its diversity of forms. The examples of unstructured data vary from imagery and text files like PDF documents to video and audio files, to name a few. Such data can only be used for its intended purpose. Unstructured data examples.

Data 93

Data Artificial Inteligence Storage Analytics 93

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 100

Data Analytics Storage Big Data 100

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. The core difference lies in the point where raw data is transformed.

Analytics 75

Analytics DevOps Development Software Review 75

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. By the way, you can watch our video to understand how APIs work in general.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub? Data warehouse vs data hub. Data hub architecture.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

DECEMBER 14, 2022

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. Docker also offers video explainers for those who prefer to listen and watch instead of reading. The Good and the Bad of the SAP Business Intelligence Platform. Common Docker use cases.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 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? Data mart use cases. Just like display cases in a store.

Data 64

Data Analytics Construction Cloud 64

Altexsoft

FEBRUARY 22, 2022

Integration with inventory management software is necessary in case you hold a big stock of parts and equipment and want to be in control. Integration with a business intelligence tool is important to receive a holistic analysis of your maintenance processes, track costs, visualize trends, and get actionable insights.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Simple data access, storage, input, and retrieval.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

NOVEMBER 9, 2021

Check a brief video explaining how demand forecasting works. 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. Process data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML. A provider maintains the platform and handles the storage of your data.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

Tools 16

Tools Data Technical Advisors Technical Review 16

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

MARCH 30, 2023

It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse. Who makes data useful?

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

MARCH 14, 2023

Also, there are NoSQL databases that can be home to all sorts of data, including unstructured and semi-structured (images, PDF files, audio, JSON, etc.) For instance, video streaming platforms like TikTok may have different databases for user registration and uploaded videos. Data storage component in a modern data stack.

Data 59

Data Technical Review Software Review Open Source 59