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

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

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%). Increasingly, businesses are realizing they need to invest in skills development to leverage emerging technologies, agrees SPR’s Mead.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

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

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). However, from an analytics perspective there was no integration between the data warehouse platform and the data lake.

Cloud 98

Cloud Data Azure Analytics 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

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

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. within a single, centralized location for analytics and reporting. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

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

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

Big Data 87

Big Data Technology Tools Cloud 87

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. 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. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

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

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). Thanks to data consolidation, everyone who uses data to make strategic and operational decisions or build and maintain analytical tools, can easily and quickly access it. But how do you move data?

Data 76

Data Storage Analytics Data Center 76

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

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

FEBRUARY 24, 2023

It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics. Learn more about Docker architecture, advantages, and alternatives from our article The Good and the Bad of Docker Containers. 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

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. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. We leveraged the lakehouse to understand the moment,” the CIO says.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Actian

AUGUST 20, 2019

But think back to how prior forklift upgrades have gone—whether involving mainframes, data center consolidation, service-oriented architecture, or any other legacy technical debt—and you can quickly see the high risk of a “lift and shift” migration strategy. IBM is promoting “lift and shift” of Netezza to their IBM Cloud.

Fashion 40

Fashion Cloud Azure Data Center 40

Altexsoft

JUNE 20, 2019

Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. Thanks to the recently released multi-tenancy feature, the database architecture now simplifies packing many databases and manage them smoothly. MariaDB is an open-source fork from MySQL with commercial support. Large capacity.

Systems Review 85

Systems Review System Software Review Open Source 85

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

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? 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

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. What is a data lakehouse? Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions.

Groups 88

Groups Technical Review Performance AWS 88

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Microservices is a software architecture pattern that structures an application as a collection of small, loosely-coupled services.

Software Development 52

Software Development Trends Technology Software 52

Actian

AUGUST 20, 2019

But think back to how prior forklift upgrades have gone—whether involving mainframes, data center consolidation, service-oriented architecture, or any other legacy technical debt—and you can quickly see the high risk of a “lift and shift” migration strategy. IBM is promoting “lift and shift” of Netezza to their IBM Cloud.

Fashion 8

Fashion Cloud Azure Data Center 8

Data Virtualization

JANUARY 20, 2021

Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ll have read all about data virtualisation and you’ve.

Data 59

Data How To Big Data Virtualization 59

Altexsoft

JULY 29, 2022

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. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

DECEMBER 10, 2019

Currently, providers of PSSs are switching from monolithic to service-based design — either service-oriented architecture (SOA) or microservices. The second-largest PSS undergoes transition period, moving from mainframe computers to microservices architecture. AirCore is available globally via the Microsoft Azure cloud.

Airlines 18

Airlines Systems Review System Travel 18