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

Datavail

OCTOBER 5, 2021

In fact, applications using microservices architecture are often more code-heavy than monolithic applications. Nevertheless, the advantages of building apps with microservices far outweigh the pitfalls when there is a need for flexibility, scalability and greater speed. Microservices is an architecture. Are You Convinced Yet?

Microservices 81

Microservices eCommerce Architecture Scalability 81

Apps Associates

OCTOBER 8, 2021

They provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally – read the full case study here. Timelines continues to accelerate as organizations are realizing that they need the flexibility and scalability of Cloud technology.

AWS 52

AWS Disaster Recovery Backup Data Center 52

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Cloudera

APRIL 20, 2021

The biggest challenge for businesses is to navigate to the future that needs real-time business intelligence. Streaming Analytics transforms business information from a week ago to what is happening now. What is modern streaming architecture? What are the advantages of Streaming Analytics?

Analytics 92

Analytics Retail Architecture Government 92

O'Reilly Media - Data

JULY 23, 2018

Data preparation, governance, and privacy. The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Issues pertaining to data security, privacy, and governance persist and are not necessarily unique to ML applications.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

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. Therefore, the software must have an easily extendable architecture. Business Intelligence Services.

Big Data 52

Big Data Data Development Business Intelligence 52

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. And they have always had a large community of developers and users.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

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

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. Cobham Advanced Electronic Solutions, Inc.

AWS 40

AWS Disaster Recovery Backup Data Center 40

CIO

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Artificial Inteligence 288

Artificial Inteligence Generative AI Government Architecture 288

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

Hu's Place - HitachiVantara

JUNE 5, 2019

32 data domain owners from governance, pricing, services, procurement, partners, sales, marketing, supply planning and IT were involved. Business owners reported immediate benefits from this implementation. We know it works because we use DataOps in our own operations.” Fatima Hamad, Sr.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

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 is focused on industries working in the field of business intelligence. RapidMiner.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Metadata policy creation is essential to govern the management process.

Tools 59

Tools Technical Review Software Review Systems Review 59

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

Exadel

FEBRUARY 27, 2023

This strategy may cover cleaning and organizing data, storing it in a format that is easily accessible, and setting up data governance policies to ensure that data is consistently collected and managed. Thinking beyond isolated PoCs will help you avoid AI scalability issues, too.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Citizens who have negative experiences with government services are less likely to use those services in the future. Modern data architectures. Deploying modern data architectures. Forrester ).

Architecture 76

Architecture Data Artificial Inteligence Artificial Intelligence 76

Gorilla Logic

MAY 19, 2021

Use real-time data analytics, business intelligence tools, and machine learning to provide a hyper-relevant, user-friendly experience. Establishing scalable and maintainable user and identity management, authentication, and authorization. Mobile app capabilities for software outsourcing. Completing secure code reviews.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CTOvision

JULY 9, 2014

The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).

Big Data 114

Big Data Data CTO Fractional CTO 114

TIBCO - Connected Intelligence

AUGUST 24, 2021

Successful cloud migration requires a rewrite of application architectures, investment in the needed specialists and tools, and training for end users on the new systems. Without proper financial analysis beforehand, many institutions may falter along the way.

Cloud 26

Cloud How To Insurance eBook 26

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 also own the governance of their domain. federated computation governance. What data mesh is and is not. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

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

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. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Artificial Inteligence 267

Artificial Inteligence Data Artificial Intelligence Analytics 267

CIO

MARCH 2, 2023

“In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. His team is creating platforms and systems by which they can effectively scale and govern automation safely and reliably.

Artificial Inteligence 356

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 356

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. Issues with data security and governance. Lakehouse architecture.

Architecture 52

Architecture Data Storage Machine Learning 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

Cloudera

JUNE 30, 2022

With Shared Data Experience (SDX) which is built in to CDP right from the beginning, customers benefit from a common metadata, security, and governance model across all their data. . Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in.

Data 84

Data Analytics Machine Learning Artificial Inteligence 84

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 outlined several key criteria to consider such as scalability, performance, cost, reliability, security, and support.

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. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

CTOvision

SEPTEMBER 9, 2016

We track Zoomdata in our Disruptive IT Directory in the Business Intelligence and Analytics Companies section. Zoomdata Fusion enables interactive analytics across disparate data sources, bridging modern and legacy data architectures, blending real-time streams and historical data, and unifying enterprise data with data in the cloud.

Big Data 60

Big Data Data Analytics Business Intelligence 60

Perficient

MARCH 14, 2023

This means enabling teams to create accessible discovery sandboxes quickly and easily for ad-hoc exploration by power users and data scientists without sacrificing the necessary governance and security. We’ve also learned a bit about what can be done to reduce the lift involved.

Data 64

Data Healthcare AWS Analytics 64

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

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

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. They are more scalable than SQL ones and capable of handling larger data volumes. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Cloudera

NOVEMBER 2, 2020

On the business side, companies and governments are digitizing and automating as many of their operations as possible so decision making and asset management can be more effective. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Flexible, scalable query engine for EDW.

Data 91

Data Analytics Storage Big Data 91

CTOvision

SEPTEMBER 9, 2016

Zoomdata Fusion enables interactive analytics across disparate data sources, bridging modern and legacy data architectures, blending real-time streams and historical data, and unifying enterprise data with data in the cloud. They are an In-Q-Tel company and a strategic investment in Zoomdata was announced on 8 Sep 2016.

Big Data 60

Big Data Data Analytics Scalability 60