AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

IoT 101

IoT Machine Learning Metadata Data-driven 101

Data Virtualization

OCTOBER 11, 2024

Reading Time: 3 minutes Data integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly.

Data Integration 59

Data Integration Data Governance Management Data Architecture 59

O'Reilly on Data

FEBRUARY 4, 2019

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

O'Reilly on Data

MAY 21, 2019

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. Key features of many data science platforms. Source: O'Reilly.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

KDnuggets

AUGUST 19, 2019

What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

Data Integration 96

Data Integration Enterprise IT Data Science 96

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

O'Reilly on Data

FEBRUARY 11, 2019

Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems. Data Platforms. Data Integration and Data Pipelines. Automation in data science and big data. Data preparation, data governance, and data lineage.

Big Data 260

Big Data Technology Machine Learning Deep Learning 260

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Some of these tasks have been automated, but many aren’t.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

CIO Business Intelligence

DECEMBER 20, 2024

A scalable data architecture should be able to scale up (adding more resources or processing power to individual machines) and to scale out (adding more machines to distribute the load of the database). Flexible data architectures can integrate new data sources, incorporate new technologies, and evolve with business needs.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

O'Reilly on Data

NOVEMBER 13, 2018

Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. The data science community has been increasingly engaged in two topics I want to cover in the rest of this post: privacy and fairness in machine learning.

Machine Learning 273

Machine Learning Risk Management Statistics 273

Data Virtualization

FEBRUARY 15, 2024

The post Data Integration: It’s not a Technological Challenge, but a Semantic Adventure appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Technology Risk Management 59

Data Virtualization

JUNE 4, 2024

The post Exploring the Gartner® Critical Capabilities for Data Integration Report Tools appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this post, I’d like.

Data Integration 52

Data Integration Reporting Management Data Science 52

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

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

APRIL 10, 2025

Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this dynamic environment, time is everything.

Modeling 75

Modeling Data Integration Management Data Architecture 75

Data Virtualization

NOVEMBER 15, 2022

Reading Time: 3 minutes Many businesses are moving towards a cloud-based approach in terms of managing their data, but that doesn’t mean that incorporating the cloud into businesses is an easy process. The post Is Cloud Data Integration the Secret to Alleviating Data Connectivity Woes?

Data Integration 52

Data Integration Management Data Science Data Analytics 52

Data Virtualization

MAY 2, 2024

Reading Time: 3 minutes Denodo was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning.

Data Integration 52

Data Integration Reporting Management Data Governance 52

TDAN

AUGUST 7, 2024

Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative AI. These organizations ensure their data is prepared for AI applications including data cleansing, normalization, and data integrity.

Data Science 91

Data Science Data Integration Data Quality IT 91

CIO Business Intelligence

JUNE 7, 2022

Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like. Data analytics vs. data analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

O'Reilly on Data

DECEMBER 12, 2019

Many non-technological solutions involve promoting a diversity of expertise and experience on data science teams, and ensuring diverse intellects are involved in all stages of model building. [15] Strange, anomalous input and prediction values are always worrisome in ML, and can be indicative of an adversarial attack on an ML model.

Machine Learning 278

Machine Learning Modeling Testing Risk Management 278

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

Data Virtualization

APRIL 24, 2025

The post Financial Services Data Management Made Easy with GenAI and Denodo Platform on AWS appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, many organizations face a significant hurdle: the presence of legacy.

Management 52

Management Digital Transformation Data Integration Data Lake 52

AWS Big Data

NOVEMBER 13, 2023

The downstream consumers consist of business intelligence (BI) tools, with multiple data science and data analytics teams having their own WLM queues with appropriate priority values. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 104

Data Warehouse Analytics Data Lake Data Science 104

Domino Data Lab

JULY 20, 2022

The issues stem from the fact that not all data scientists feel confident about traditional code testing methods, but more importantly, data science is so much more than just code. But how can we deal with such complexity and maintain consistency in our pipelines?

Machine Learning 98

Machine Learning Testing Modeling Data Science 98

Rocket-Powered Data Science

JULY 6, 2021

Labels are curated and stored with the content, thus enabling curation, cataloguing (indexing), search, delivery, orchestration, and use of content and data in AI applications, including knowledge-driven decision-making and autonomous operations.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

O'Reilly on Data

MARCH 20, 2019

Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Applying data integrity constraints on live, incoming data streams could have the same benefits. Disparate impact analysis: see section 1.

Modeling 275

Modeling Machine Learning Predictive Modeling Consulting 275

CIO Business Intelligence

JUNE 7, 2022

If you’re building a team for the first time, you should understand that data science is an iterative process that requires a lot of data, says Matt Mead, CTO at information technology services company SPR. Because of this, only a small percentage of your AI team will work on data science efforts, he says.

Machine Learning 145

Machine Learning Data Science Metrics Consulting 145

Data Virtualization

FEBRUARY 6, 2025

Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 64

Data Integration Management Data Warehouse IT 64

AWS Big Data

DECEMBER 4, 2024

SageMaker Lakehouse enables seamless data access directly in the new SageMaker Unified Studio and provides the flexibility to access and query your data with all Apache Iceberg-compatible tools on a single copy of analytics data.

Data Analytics 86

Data Analytics Analytics Data Lake Data Quality 86

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Action to take.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

NOVEMBER 21, 2023

Develop citizen data science and self-service capabilities CIOs have embraced citizen data science because data visualization tools and other self-service business intelligence platforms are easy for business people to use and reduce the reporting and querying work IT departments used to support.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

FEBRUARY 20, 2024

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience.

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

Data Virtualization

NOVEMBER 28, 2024

appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI). The post How Do You Know When You’re Ready for AI?

Statistics 52

Statistics Data Integration Management Data Quality 52

Data Virtualization

DECEMBER 20, 2024

The post My Reflections on the Gartner Hype Cycle for Data Management, 2024 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Gartner Hype Cycle methodology provides a view of how.

Management 52

Management Data Integration Technology Data Architecture 52

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Gartner has identified four main types of CDPs: marketing cloud CDPs, CDP engines and toolkits, marketing data-integration CDPs, and CDP smart hubs. Treasure Data CDP. Types of CDPs. billion in November 2020.

Advertising 122

Advertising Interactive Marketing Structured Data 122