Xebia

JANUARY 19, 2023

– 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. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Machine Learning 52

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Datavail

JUNE 15, 2023

The Microsoft Fabric platform includes: Power BI : The Microsoft business intelligence tool that’s a mainstay for many organizations, infused with a generative AI copilot for business analysts and business users. In addition to the compute capacity charge, you also have a storage charge for OneLake.

Azure 52

Azure Analytics Storage Generative AI 52

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. American Water will share how bringing IoT to fleet management can provide value to the customer.

Enterprise 50

Enterprise Cloud Data Healthcare 50

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing. What is an Enterprise Data Warehouse? If so, why do we talk about the enterprise form of it?

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. A data pipeline is a set of tools and activities for moving data from one system, with its method of data storage and processing, to another system in which it can be stored and managed differently. We’ll get back to the types of storages a bit later.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence.

Architecture 52

Architecture Data Storage Machine Learning 52

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

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Data is a valuable source that needs management.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

JULY 22, 2022

freight (loading/unloading, storage, stuffing/stripping, etc.), The yard is basically a large storage area in the terminal that has to be efficiently managed. Different storage areas have to be created and freight has to be allocated according to further operations. vessels (discharge, repairs, refueling, etc.),

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

OCTOBER 27, 2022

inland transportation from origin and/or to destination, goods storage, preparation of customs and other documentation, freight consolidation and deconsolidation, container tracking, insurance services, import customs clearance, and so on. storage, documentation, packing, inland haulage), and typically act on behalf of shippers.

Technical Review 52

Technical Review Technology Transportation Software Review 52

Altexsoft

JUNE 20, 2019

Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Of course, there are other, prepaid options for Enterprise or Cluster purposes with richer functionality. For instance, GIS support suggests smooth coordinates storage and location data query.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

MARCH 14, 2023

Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices. Data storage component in a modern data stack. BI and analytics involve using data to gain insights that inform business decisions.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13

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. Set up data storage technology. From here, you’ll have to take the next steps. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. A subscriber is a receiving program such as an end-user app or business intelligence tool. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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. into the digital twin.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

FEBRUARY 24, 2023

Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice. What we’ve seen… is a lot of enterprises are embracing Kubernetes but then they run headlong into a difficulty,” admitted Drew Bradstock, product lead for Google Kubernetes Engine (GKE).

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

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. Ground level of analytics. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. A complete guide to business intelligence and analytics. The role of business intelligence developer. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

JULY 19, 2022

Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles. Zhamak Dehghani divides the data into the “two planes”: The operational plane presents the data from the source systems where it originates — for example, front-desk apps, IoT systems , point of sales systems , etc.

Architecture 52

Architecture Data Analytics Data Engineering 52

Datavail

JANUARY 13, 2020

A cloud-based data warehouse allows businesses to combine multiple data sets for storage and analysis, including compiling data from various sources such as a single warehouse for customer transactions, app events, and third-party data insights. Redshift’s pricing is transparent and based on data storage volume.

Data 10

Data AWS Big Data Storage 10

Openxcell

MARCH 16, 2021

License fee: It’s perfect for large enterprises. Read about: How are IoT and Machine Learning Changing Everyone’s Lives? Few factors to think about: Data storage location User authentication Who can have access to what data. Does your company use existing HR software or Business Intelligence? Integrations.

How To 52

How To Training Technical Review Systems Review 52

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Data custodian – manages the technical environment of data maintenance and storage. Source: Business Intelligence. A surgeon used organs from a donor with an incompatible blood type.

Tools 16

Tools Data Technical Advisors Technical Review 16

CIO

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 313

Analytics Artificial Inteligence Artificial Intelligence Hardware 313