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. The best data engineers view their responsibilities through business and technical lenses. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. For more storage, you must pay a price.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

The Daily WTF

JULY 3, 2023

They didn't understand any of these terms: object graph , business intelligence services , concurrency , message pump , domain model , and well-defined. Unfortunately, nobody understood the concept of scalability, let alone why it had to be considered. It took Bryan quite a while to acclimate to all of this. of the project.

Business Intelligence 56

Business Intelligence Advertising Budget Scalability 56

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Agility and scalability.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

ParkMyCloud

APRIL 14, 2020

It is fully-managed, and scalable to petabytes of data for storage and analysis. You can use Redshift to analyze your data using SQL and business intelligence tools. High performance – fast query performance, columnar storage, data compression, and zone maps. . RA3 – as of this writing, prices range from $3.26

AWS 57

AWS Backup Storage Scalability 57

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

FEBRUARY 28, 2023

So, they decided to invest in a secure and scalable cloud solution that would reduce maintenance costs, increase efficiency, and provide the data and analytics platform they needed to power their journey toward translational and personalized medicine.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. The most important component is the data management application, which is responsible for all the data manipulation, analytical processing, and storage activities.

Big Data 52

Big Data Data Development Business Intelligence 52

Apps Associates

JULY 14, 2023

Migrating your Oracle workload to the cloud, specifically Amazon Web Services, can provide numerous benefits for your business. Improved scalability, high availability, enhanced security, cost optimization, and seamless integration with AWS services are just a few advantages worth considering.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Apps Associates

APRIL 20, 2022

Capsule summary: Mood Media has a need for a more secure and scalable platform. Environment included Oracle E-business suite (11 TB DB), Oracle OBIEE, and APEX applications. Outcome highlights: A secure and scalable environment with improved architecture that provides their customers uninterrupted services. .

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Apps Associates

OCTOBER 8, 2021

Timelines continues to accelerate as organizations are realizing that they need the flexibility and scalability of Cloud technology. Capsule summary: Re-architect and migrate North America Operations across 3 data centers (USA, Canada) to AWS Cloud hosting environment including all compute, network, storage, telecomm, mail exchange.

AWS 52

AWS Disaster Recovery Backup Data Center 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

O'Reilly Media - Data

JULY 23, 2018

Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Can decentralization technologies (like blockchains) pave the way for new forms of data exchanges? Data preparation, governance and privacy".

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

RapidValue

JUNE 26, 2020

Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Analytics is all about meaningful information at your fingertips. Excellent support for databases and data warehouses.

Analytics 72

Analytics Cloud Technical Review Data 72

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. Let’s have a look at EDWs in detail.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Sunflower Lab

OCTOBER 9, 2023

Contemporary machine-learning algorithms are able to derive conclusions from a variety of sources and discover trends in generated data, both of which are very useful in day-to-day work of Business Intelligence Analyst. They have already implemented Business Intelligence in many of their operational areas. Contact Us Now.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Actian

MAY 28, 2019

One of the most important parts of the data warehouse is the set of analytics capabilities that it provides – this includes both traditional business intelligence and reporting solutions as well as modern technology, such as AI and Machine Learning. Scalability – Expand your storage footprint as you acquire more data.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Datavail

APRIL 12, 2021

It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. You can set up storage engines on a per-database instance or per-table basis. Here are some of the storage engines you can leverage in MariaDB for your development projects.

Storage 98

Storage Engineering Open Source Business Intelligence 98

Apps Associates

OCTOBER 22, 2020

Now, more than ever, businesses are looking at how they can move to the Cloud to benefit their bottom line, improve operational effectiveness and ensure continuity. Timelines have accelerated as organizations are realizing that they need the flexibility and scalability of Cloud technology.

AWS 40

AWS Disaster Recovery Backup Data Center 40

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

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

Apiumhub

FEBRUARY 25, 2021

In Gartner’s recent survey of more than 3,000 CIOs, respondents ranked analytics and business intelligence as the top differentiating technology for their organizations. It comes with many APIs that facilitate Data Scientists to make repeated access to data for Machine Learning, Storage in SQL, etc.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. Metadata storage usually implies developing a specialized repository. Metadata storage. As for storage location, there are two options. Ensure its scalability and integrability.

Tools 59

Tools Technical Review Software Review Systems Review 59

InfoBest

JULY 18, 2018

MongoDB is currently the most popular NoSQL platform and it helps companies like Expedia, Forbes, MetLife or TheGuardian extend their services in areas like the Internet of Things or Business Intelligence. This free and open source, cross-platform, document-oriented database is often part of stacks like SAILS and MEAN.

Engineering 61

Engineering Technical Review PHP Software Review 61

Sunflower Lab

MARCH 21, 2024

Power Up Your Business Intelligence with Power BI Turn complexity into clarity with our user-friendly Power BI solutions. Cost Savings: Optimization of inventory levels and reduction of stockouts led to minimized storage costs and lost sales opportunities.

Budget 52

Budget Comparison Metrics Analysis 52

Sunflower Lab

AUGUST 18, 2023

Prompt Responses With a faster pace for tasks completion, businesses can respond quickly to customers, suppliers or any stakeholders leading to satisfaction across every level. Scalability Automation can easily adapt with the changing demands of the market, while keeping both quality and accuracy consistent. Let’s talk!

Software Review 52

Software Review Technical Review Comparison Applications 52

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CIO

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. Data lakehouses also ensure that teams have the most complete and up-to-date data available for data science, AI/ML, and business analytics projects. Pulling it all together.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. First, they adopt a data warehouse to centralize all current and historical data under the same roof.

Data 234

Data Telecommunications Transportation Analysis 234

CTOvision

JULY 9, 2014

In the text below, I examine an on-premise Hadoop ecosystem as a general purpose Big Data solution in relation to alternative commercial purpose-built storage technologies (-e.g. Another issue with schema-based systems is scalability. Oracle, Teradata, IBM, SAP, Microsoft, EMC, etc).

Big Data 114

Big Data Data CTO Fractional CTO 114

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. It enables organizations to operate efficiently without needing any extensive internal infrastructure.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

O'Reilly Media - Ideas

JANUARY 7, 2020

Since 2016, O’Reilly and Google SRE have spoken extensively about ways to build reliable, scalable systems to serve large numbers of users. Another example is an internal system, such as a business intelligence platform, that you wish to bring out as a product externally. What if I have more than one user?

Architecture 53

Architecture Cloud System Examples 53