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 90

Data Integration Metadata Data-driven Data Architecture 90

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

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

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

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

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

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

BizAcuity

MAY 24, 2022

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS provides a platform for compute, data storage and networking capabilities. Microsoft’s blog paints quite the picture about this issue.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

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

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

Data Virtualization

MARCH 14, 2024

Reading Time: 2 minutes Welcome to the frontier of the customer experience evolution, where hyper-personalization and data virtualization unite to redefine the customer-business relationship. In today’s digital realm, where every click and tap paints a digital portrait, businesses are harnessing cutting-edge technologies to reshape.

Data Integration 69

Data Integration Management Technology Data-driven 69

Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration IT 105

Rocket-Powered Data Science

JULY 6, 2021

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. 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. Data catalogs are very useful and important.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Data Virtualization

MARCH 19, 2024

When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” The post One CIO’s 2024 Priority: Taming the Data Storm appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 64

Data Integration Management ROI Data-driven 64

Data Virtualization

FEBRUARY 22, 2024

The post Unlocking the Power of Generative AI: Integrating Large Language Models and Organizational Knowledge appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Having said that, as everyone races to develop next generation AI.

Modeling 69

Modeling Data Integration Management Technology 69

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

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

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 87

Key Performance Indicator Forecasting Data Integration Sales 87

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

Cloudera

DECEMBER 1, 2023

These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm. This requires a holistic approach that addresses the key areas of security, governance, and trustworthy data.

Data Governance 104

Data Governance Data-driven Strategy Data Architecture 104

IBM Big Data Hub

JANUARY 12, 2024

For enterprises dealing with sensitive information, it is vital to maintain state-of-the-art data security in order to reap the rewards,” says Stuart Winter, Executive Chairman and Co-Founder at Lacero Platform Limited, Jamworks and Guardian.

Data-driven 109

Data-driven Interactive Data Processing Technology 109

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 89

Insurance Data Warehouse Data-driven Unstructured Data 89

Data Virtualization

SEPTEMBER 28, 2023

Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of.

Data Integration 64

Data Integration Management Analytics Data Lake 64

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

Data Virtualization

FEBRUARY 17, 2022

Reading Time: 3 minutes Data is at the center of every company. The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

IT 81

IT Data Integration Management Data Lake 81

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 98

Enterprise Data Lake Data Collection Data-driven 98

Data Virtualization

APRIL 5, 2023

However, it has also brought massive and growing data volumes that can be either a goldmine or an indecipherable pool, depending on each organization’s ability. The post Data Mesh and the Future of Financial Services appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data Lake IT 52

Data Virtualization

APRIL 5, 2023

However, it has also brought massive and growing data volumes that can be either a goldmine or an indecipherable pool, depending on each organization’s ability. The post Data Mesh and the Future of Financial Services appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data Lake IT 52

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.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Smarten

SEPTEMBER 29, 2023

The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business. The integration of interactive reports provided a competitive advantage and enabled the Client to better leverage its data and operate more efficiently, thereby increasing revenue.

Analytics 67

Analytics Sales Operational Reporting Reporting 67

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 58

Data Quality Metadata Data Governance Data-driven 58

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Data Virtualization

JANUARY 5, 2022

The post Data Virtualization: Be the Driver, not the Mechanic appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In some industrial sectors, this has already happened. We simply consume electricity, without being forced to know the.

Data Integration 59

Data Integration Technology Management IT 59

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98