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 59

Modeling Data Integration Management Data Architecture 59

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 65

Data Integration Management Data Warehouse IT 65

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

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

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines.

Testing 300

Testing Machine Learning Consulting Data Science 300

Cloudera

DECEMBER 4, 2024

introduces features to enhance developer productivity and streamline data pipeline development: Parameter Groups: Simplify flow management and promote reusability by grouping parameters and applying them across multiple flows. empowers data engineers to build and deploy data pipelines faster, accelerating time-to-value for the business.

Metrics 93

Metrics Data Integration Management Modeling 93

DataKitchen

NOVEMBER 5, 2024

As data ingestion transitions to a continuous flow, the second part of DQ training equips engineers to monitor schema consistency, row counts, and data freshness, ensuring data integrity over time.

Data Quality 195

Data Quality Testing Metrics Reporting 195

Data Virtualization

OCTOBER 31, 2024

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI.

Management 52

Management Modeling Data Integration Technology 52

Data Virtualization

DECEMBER 4, 2024

The post Agora, the Denodo Cloud Service – Is Now Available on the AWS Marketplace appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Denodo has been supporting our joint customers to get the most from their investments.

Data Integration 59

Data Integration Management Enterprise Technology 59

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

Data Virtualization

JANUARY 21, 2025

The post OReilly Releases First Chapters of a New Book about Logical Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Gartner predicts that by the end of this year, 30%.

Management 52

Management Data Integration Technology Data Warehouse 52

AWS Big Data

DECEMBER 17, 2024

To generate accurate SQL queries, Amazon Bedrock Knowledge Bases uses database schema, previous query history, and other contextual information that is provided about the data sources. Launch summary Following is the launch summary which provides the announcement links and reference blogs for the key announcements.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

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. What you have just experienced is a plethora of heteronyms. Heteronyms are words that are spelled identically but have different meanings when pronounced differently. Can you find them all?

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Data Virtualization

SEPTEMBER 9, 2021

Data virtualization has a privileged position in modern architectures for data discovery and use cases such as data fabric and logical data warehousing. Data virtualization provides unified data access, data integration, and a delivery layer, bridging the gap between distributed.

Data Integration 98

Data Integration Technology 98

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake.

Consulting 244

Consulting Testing Data Lake Data Quality 244

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

Data Virtualization

APRIL 4, 2024

Over the past few decades, we have been storing up data and generating even more of it than we have known what. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 98

Data Integration Management Data-driven IT 98

AWS Big Data

OCTOBER 11, 2024

It covers the essential steps for taking snapshots of your data, implementing safe transfer across different AWS Regions and accounts, and restoring them in a new domain. This guide is designed to help you maintain data integrity and continuity while navigating complex multi-Region and multi-account environments in OpenSearch Service.

Snapshot 96

Snapshot Dashboards Management Testing 96

AWS Big Data

NOVEMBER 29, 2024

By using the AWS Glue OData connector for SAP, you can work seamlessly with your data on AWS Glue and Apache Spark in a distributed fashion for efficient processing. AWS Glue OData connector for SAP uses the SAP ODP framework and OData protocol for data extraction. Choose Confirm to confirm that your job will be script-only.

Visualization 90

Visualization Data Processing Data-driven Cost-Benefit 90

Data Virtualization

AUGUST 23, 2024

The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In previous posts, I spoke.

Data Integration 98

Data Integration Modeling Management Data Architecture 98

Data Virtualization

SEPTEMBER 21, 2023

This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle. The post Embracing Data Mesh: A Modern Approach to Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 105

Management Data Architecture Data Integration Data-driven 105

Data Virtualization

MAY 20, 2024

The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Enterprise 95

Enterprise Data Integration Management Data Science 95

Cloudera

MARCH 11, 2021

While Apache NiFi is used successfully by hundreds of our customers to power mission critical and large-scale data flows, the expectations for enterprise data flow solutions are constantly evolving. In this blog post, I want to share the top three requirements for data flows in 2021 that we hear from our customers.

Data Integration 119

Data Integration Data Warehouse Testing Enterprise 119

datapine

MAY 29, 2019

Each of that component has its own purpose that we will discuss in more detail while concentrating on data warehousing. A solid BI architecture framework consists of: Collection of data. Data integration. Storage of data. Data analysis. Distribution of data. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Data Virtualization

JUNE 16, 2022

It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be. The post How to Simplify Your Approach to Data Governance appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Governance 98

Data Governance Data Integration Management Data Lake 98

datapine

NOVEMBER 11, 2021

This data is usually saved in different databases, external applications, or in an indefinite number of Excel sheets which makes it almost impossible to combine different data sets and update every source promptly. BI tools aim to make data integration a simple task by providing the following features: a) Data Connectors.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

NOVEMBER 22, 2024

Keerthi Chadalavada is a Senior Software Development Engineer at AWS Glue, focusing on combining generative AI and data integration technologies to design and build comprehensive solutions for customers’ data and analytics needs. option("recursiveFileLookup", "true").option("path", option("path", books_input_path).parquet(books_input_path)

Cost-Benefit 95

Cost-Benefit Data-driven Software Testing 95

Anmut

JANUARY 30, 2025

Establishing Robust Data Governance: Creating clear policies about data ownership, standards, and management. Implementing Automated Validation: Using tools that automatically check data integrity at the point of entry. The post Data Quality Is Free appeared first on Anmut.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

Smart Data Collective

SEPTEMBER 8, 2021

It generates Java code for the Data Pipelines instead of running Pipeline configurations through an ETL Engine. Pentaho Data Integration (PDI) : Pentaho Data Integration is well known in the market for its graphical interface, Spoon. This blog talks about the basics of ETL and ETL tools. Conclusion.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

Domino Data Lab

JULY 20, 2022

We've blogged before about the importance of model validation, a process that ensures that the model is performing the way it was intended and that it solves the problem it was designed to solve. We've also talked about incorporating tests in your pipeline, which many data scientists find problematic.

Machine Learning 98

Machine Learning Testing Modeling Data Science 98

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 278

Modeling Machine Learning Predictive Modeling Consulting 278

DataKitchen

MAY 14, 2024

Chris will overview data at rest and in use, with Eric returning to demonstrate the practical steps in data testing for both states. Session 3: Mastering Data Testing in Development and Migration During our third session, the focus will shift towards regression and impact assessment in development cycles.

Data Quality 195

Data Quality Testing Metrics Measurement 195

datapine

FEBRUARY 10, 2021

When connecting your social media channels through a modern dashboard tool , you need to take into account the data integration and connection process. Whereas static spreadsheets can deliver some value in your analysis, they cannot enable you to connect multiple channels at once and visualize data in real-time.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

DataKitchen

MAY 10, 2024

Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems. Verifying data completeness and conformity to predefined standards. Have all the source files/data arrived on time?

Data Quality 130

Data Quality Testing Software Dashboards 130

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361