Sisense

MARCH 9, 2020

One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. Before we dig into what your enterprise data integration will do for your organization, let’s touch briefly on the challenges that collecting all of an enterprise’s data can entail.

Data Integration 93

Data Integration Enterprise Slice and Dice Digital Transformation 93

Data Virtualization

DECEMBER 1, 2022

The post The Prudent Pursuit of ESG Initiatives for Data-Driven Organizations appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. ESG represents the standards used by socially conscious investors to screen potential investments.

Data-driven 52

Data-driven Data Integration Management IT 52

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 84

Data Integration Metadata Data-driven Data Architecture 84

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. In this article, I’ll show […].

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Data-driven Data Transformation Data Integration Data Science 267

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

Data-driven 209

Data-driven Data Integration Analytics 209

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions.

Data Integration 69

Data Integration Snapshot Testing Visualization 69

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

Business Intelligence 127

Business Intelligence Data-driven Statistics Data Warehouse 127

Data Virtualization

OCTOBER 14, 2022

Reading Time: 5 minutes Join our discussion on All Things Data with Mitesh Shah, Senior Cloud Product Manager & Cloud Evangelist with a focus on leveraging cloud marketplaces to accelerate & simplify cloud data integration with Denodo. To understand how to accelerate and simplify.

Data Integration 52

Data Integration Management Digital Transformation Data-driven 52

Data Virtualization

JANUARY 11, 2024

Reading Time: 3 minutes In today’s data-driven world, the power of comprehensive enterprise data solutions is undeniable. Even smaller data projects can help empower organizations to efficiently harness data for informed decision-making. In this blog post, to ensure that you can unlock the full.

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Data-driven Data Integration Enterprise Management 64

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

In(tegrate) the Clouds

JUNE 23, 2016

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses.

Data Integration 49

Data Integration Data Lake Data Warehouse Data-driven 49

Data Virtualization

JANUARY 18, 2024

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data?

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Data-driven Data Integration Management Metadata 59

BizAcuity

MAY 4, 2021

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Enhances Player Retention.

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. Analytics as a Service is almost a BI tool used for data analysis.and examples are restricted to the industry.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages. V6 also lacked scalability.

Cost-Benefit 87

Cost-Benefit Data-driven Metrics Management 87

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

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Testing Metrics Data Quality Dashboards 100

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. .

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Consulting Testing Data Lake Data Quality 244

Data Virtualization

APRIL 4, 2024

Reading Time: 4 minutes Providing timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what.

Data Integration 98

Data Integration Management Data-driven IT 98

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

AWS Big Data

NOVEMBER 7, 2023

The most impactful data-driven insights come from connecting the dots between all your data sources—across departments, services, on-premises tools, and third-party applications. But typically, connecting data requires complex extract, transform, and load (ETL) pipelines, taking hours or days.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Data catalogs are very useful and important.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 92

Analytics Visualization Data Integration Cost-Benefit 92

CIO Business Intelligence

JANUARY 11, 2024

A data-driven foundation Of course, a dose of caution is in order, particularly with newer AI offshoots such as generative AI. Outrageously inaccurate ChatGPT musings are just an opener for what could later be catastrophic mistakes predicated on bad data.

Enterprise 121

Enterprise Uncertainty Risk Management Reporting 121

Data Virtualization

APRIL 26, 2024

The post From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management Internet of Things Data-driven 59

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

APRIL 17, 2024

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

Optimization 110

Optimization Snapshot Metadata Cost-Benefit 110

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. The speed at which the data team responds to these requests is critical. The agility of analytics directly relates to data analytics workflows.

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Data-driven Manufacturing Data Architecture Data Analytics 147

AWS Big Data

FEBRUARY 13, 2024

Monitoring data pipelines in real time is critical for catching issues early and minimizing disruptions. AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. Choose Add new data source.

Metrics 94

Metrics Dashboards Visualization Key Performance Indicator 94

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. Throughout this article, we’ll explore the importance of BI, data visualization, and dashboard tools in navigating intricate data landscapes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

AWS Big Data

NOVEMBER 15, 2023

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. Keynotes Several keynotes will shine a spotlight on data. Keynotes Several keynotes will shine a spotlight on data.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81