Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

Sisense

AUGUST 28, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. What is data integrity?

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

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

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.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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

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 83

Data Integration Metadata Data-driven Data Architecture 83

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 […].

Data-driven 277

Data-driven Data Transformation Data Integration Data Science 277

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 212

Data-driven Data Integration Analytics 212

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 74

Data Integration Snapshot Testing Visualization 74

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. This is the impact of data-driven financial analysis – or what is termed FP&A – in the business context. billion is lost to low-value, manual data processing and management while $1.7

Data-driven 111

Data-driven IT Finance Forecasting 111

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 88

Data-driven Data Lake Data Warehouse Cost-Benefit 88

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 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

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.

Data-driven 64

Data-driven Data Integration Enterprise Management 64

Data Virtualization

MAY 1, 2024

Reading Time: 3 minutes Today, data is the lifeblood that can dictate the difference between success or failure. However, becoming truly data-driven remains an elusive goal for many. This gap between aspiration and reality is not for lack of effort; it stems from the.

Data-driven 69

Data-driven Data Integration Management IT 69

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?

Data-driven 59

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

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

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 93

Cost-Benefit Data-driven Metrics Management 93

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. .

Consulting 244

Consulting Testing Data Lake Data Quality 244

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 169

Insurance Metadata Data-driven Data Quality 169

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.

Testing 124

Testing Metrics Data Quality Dashboards 124

CIO Business Intelligence

NOVEMBER 29, 2022

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data.

Data Architecture 105

Data Architecture Data Integration IoT Strategy 105

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 94

Data Warehouse Data-driven Machine Learning B2B 94

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 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 267

Strategy Machine Learning Metadata Knowledge Discovery 267

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. So it’s safe to say that organizations can’t reap the rewards of their data without automation.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

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 98

Analytics Visualization Data Integration Cost-Benefit 98

CIO Business Intelligence

MAY 15, 2024

Covered cyber incidents must be “substantial” and reflect certain scenarios affecting data integrity, confidentiality, or availability – such as a data breach where lots of customer data is stolen or a ransomware attack where corporate systems are locked up until a payment is made.

Reporting 113

Reporting Risk Data-driven Measurement 113

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