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. Traditional data warehouse platform architecture. Data lake architecture example. Lakehouse architecture. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Microsoft Azure.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

SEPTEMBER 23, 2021

This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. Data hub architecture. Data hub architecture.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Scalability Analytics Google Cloud 52

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Xebia

MARCH 14, 2024

Such rebuilds take years and increase the total cost of ownership drastically: now they’re maintaining two large applications without getting extra business value out of it. Usually, not all parts of a monolith require similar architectural capabilities. Integrating business functionality may be available with just a click.

Cloud 130

Cloud Weak Development Team Software Development Applications 130

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

CIO

DECEMBER 4, 2023

“We have the ability to bring datasets together, and those insights could drive what the agenda is for the business. So having that access to the insights driving business intelligence initiatives has allowed us to expand our seat at the table.” They could show us where we have the opportunity to improve our go-to-market.

Technical Review 286

Technical Review Artificial Intelligence Artificial Inteligence Strategy 286

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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. The majority of interfaces are represented by business intelligence dashboards. Online Analytical Processing Architecture.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Flexagon

MARCH 1, 2022

They are adopting new architectures, cloud services, applications , middleware, a nd tools tha t support the planning, testing, securing, and monitoring lifecycle. The COTS support includes traditional on-prem database, middleware, business intelligence, applications, and cloud services for infrastructure, platform, and software applications.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. He highlighted how customers can benefit from a move to cloud-native databases like those offered by AWS and Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 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. Also, Snowflake has a unique architecture that can scale up and down based on the requirements and workloads.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Apps Associates

MAY 18, 2021

This is a positive trend but with modern Cloud architectures sometimes the lines can get blurry between the two. Azure Synapse. Azure Synapse. Azure Synapse. In the rest of this blog post I will describe the evolution of data lakes and data warehouses and how they have become more integrated. Google Big Query.

Cloud 98

Cloud Data Azure Analytics 98

The Citus Data

MARCH 3, 2020

Interview with the Postgres committers who have joined the Postgres team at Microsoft by Sudhakar Sannakkayala (Partner Director, Azure Data) and Ozgun Erdogan (Principal, Azure Data)— cross-posted from the Azure Postgres blog. I think this sort of balance is easier to maintain in a diverse open source project.

Azure 21

Azure Open Source Systems Review Software Review 21

Protera

SEPTEMBER 13, 2022

Business intelligence managed services are an alternative for enterprisess without the maturity or bandwidth to manage a platform solution. Enterprise managed services are ongoing operational support services delivered by a third-party provider so that companies can stay focused on mission-critical business activities.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Datavail

JUNE 30, 2021

Business intelligence and analytics are often the most complex area of a company’s IT environment. Cloud Business intelligence and analytics solutions have become highly mature and feature-rich in recent years. You have many powerful options to choose from with cloud analytics, including: Azure Analytics Services.

Analytics 52

Analytics Cloud Business Intelligence Infrastructure 52

CTOvision

FEBRUARY 20, 2015

They also have a handy infographic style architecture diagram laying out what components an intelligent data platform should have: Data Intelligence, Data Infrastructure, and a Virtual Data Machine. For more information on the Informatica''s Intelligent Data Platform, read about what it is like in action on this page !

Data 105

Data Company Big Data Innovation 105

Sunflower Lab

AUGUST 4, 2023

A business intelligence product which intends to change the way data is being processed and presented in organizations. By converting raw and unorganized data into meaningful visual representations and graphical objects, it makes an everlasting impact in the business world. The Power BI architecture is based on Azure.

Report 52

Report Mobile Business Intelligence Technical Review 52

CTOvision

MARCH 13, 2017

Major cloud infrastructure services like Microsoft Azure and Amazon Web Services have fueled new hiring strategies, with 81% of enterprises adopting DevOps strategies and engineers. Still, for business leaders without a strong technical background, cloud computing can seem almost impenetrable.

Cloud 99

Cloud Real Estate Data Center Infrastructure 99

Apiumhub

AUGUST 12, 2021

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. Data analytics and business intelligence: drawing insights from data.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. This functionality is available in Cloudera Data Warehouse (CDW) Public Cloud deployments on AWS and Azure as well as in CDW Private Cloud Data Services deployments.

Groups 90

Groups Technical Review Performance AWS 90

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. Architecture patterns for the cloud.

Cloud 43

Cloud Data Storage Analytics 43

Altexsoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Apache Hadoop architecture. This shared-nothing architecture brings a lot of benefits we’ll discuss later. How MapReduce master-slave architecture works.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

FEBRUARY 24, 2023

To start with it, you have to be closely familiar with microservices-based architecture, containers, networking, cloud-native technologies, continuous delivery and integration practices, infrastructure as code , and more. Let’s see what common challenges organizations face when using the technology.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines? Getting started today.

Data 86

Data Disaster Recovery Analytics Microservices 86

O'Reilly Media - Ideas

FEBRUARY 11, 2019

We’ve assembled sessions from leading companies, many of which will share case studies of applications of machine learning methods, including multiple presentations involving deep learning: Strata Business Summit. Forecasting Financial Time Series with Deep Learning on Azure”. AI and machine learning in the enterprise. Deep Learning.

Big Data 87

Big Data Technology Tools Cloud 87

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Microsoft Azure services. Flow of data and ETL.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

OCTOBER 21, 2022

But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture. Kafka architecture. A subscriber is a receiving program such as an end-user app or business intelligence tool. Kafka cluster architecture. Kafka cluster and brokers.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. They are a Premier Consulting Partner in the Amazon Web Services (AWS) Partner Network (APN) and a Microsoft Azure Silver Partner.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

JANUARY 21, 2021

This architecture allows IT to safely open up the ability for LoB power users to dynamically spin-up and spin-down resources, meeting the demands of their ad-hoc workload, thereby increasing LoB self-service and agility. . Architecture overview. CDW implements a true win-win architecture, for all stakeholders’ and all data involved.

Analytics 93

Analytics Storage Technical Review Virtualization 93

Altexsoft

SEPTEMBER 21, 2023

How Elasticsearch works: Core concepts The architecture of Elasticsearch is built to be distributed, meaning its capabilities, including storing data, executing searches, and processing analytics, are not limited to a single machine or server. Key components of the Elasticsearch architecture.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52