datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Find a way to integrate it into the new strategy, or you will have upset employees.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

FEBRUARY 26, 2025

enables you to develop, run, and scale your data integration workloads and get insights faster. With data stories in Amazon Q in QuickSight, you can upload documents, or connect to unstructured data sources from Amazon Q Business, to create richer narratives or presentations explaining your data with additional context.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

erwin

MARCH 26, 2020

However, some practical data management issues contribute to a growing need for enterprise data governance, including: Increasing data volumes that challenge the traditional enterprise’s ability to store, manage and ultimately find data. Reducing the IT bottleneck that creates barriers to data accessibility.

Data-driven 90

Data-driven Unstructured Data Enterprise Machine Learning 90

Octopai

JANUARY 31, 2022

But it is eminently possible that you were exposed to inaccurate data through no human fault.”. He goes on to explain: Reasons for inaccurate data. Integration of external data with complex structures. Big data is BIG. Some of these data assets are structured and easy to figure out how to integrate.

Metadata 97

Metadata IT Unstructured Data IoT 97

Ontotext

OCTOBER 19, 2023

We know very well that the FAIR principles are influenced by the Linked Data Principles, which play a significant role at the core of knowledge graphs. In particular, in situations where storing personal data in one place would be problematic, knowledge graphs enable easy linking and querying of data, taking a step in this direction.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load).

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

CIO Business Intelligence

NOVEMBER 18, 2022

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. This is a dynamic view on data that evolves over time,” said Koll. The cloud served as the foundation for this transformation.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

JANUARY 6, 2021

Ontotext worked with a global research-based biopharmaceutical company to solve the problem of inefficient search across dispersed and vast sources of unstructured data. They were facing three different data silos of half a million documents full of clinical study data.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 111

Data Lake Big Data Data Warehouse Consulting 111

Ontotext

JULY 12, 2024

We offer two different PowerPacks – Agile Data Integration and High-Performance Tagging. The bundle focuses on tagging documents from a single data source and makes it easy for customers to build smart applications or support existing systems and processes. PowerPack Bundles – What is it and what is included?

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

IBM Big Data Hub

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 95

Cost-Benefit Insurance Unstructured Data Consulting 95

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Ontotext

SEPTEMBER 2, 2020

There are a multitude of recommendations such as creating internal wikis to record policy and procedures, document templates, exit interviews, job shadowing, digitizing employee training programs, etc. For efficient drug discovery, linked data is key. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Metadata Management: In legacy implementations, changes to Data Products (e.g., Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 98

Big Data Software Consulting Unstructured Data 98

Alation

JUNE 2, 2022

Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches. These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. A data catalog is a central hub for XAI and understanding data and related models. Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 98

Data Lake Visualization Dashboards Insurance 98

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

APRIL 26, 2023

Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. It is based on a cluster system, allowing it to efficiently process data and run it parallelly. It can process structured and unstructured data from one server to multiple computers and offers cross-platform support to users.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

CIO Business Intelligence

APRIL 9, 2025

This happens because proper governance creates the environment for analytics success, including data quality assurance, standardized definitions, clear ownership and documented lineage. Without rock-solid data foundations, even the most advanced ML models merely provide artful analysis.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102

Jet Global

NOVEMBER 7, 2023

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

CIO Business Intelligence

JANUARY 29, 2025

Large language models (LLMs) are good at learning from unstructured data. RAG is when, instead of just sending a simple question to an LLM, a company adds context to that question, by embedding relevant documents or information from a vector database. LLMs are optimized for unstructured data, adds Sudhir Hasbe, COO at Neo4j.

Enterprise 134

Enterprise Unstructured Data Recreation/Entertainment Modeling 134

BI-Survey

MARCH 6, 2025

These tools fall into four categories: Data (Warehouse) Automation Tools simplify and automate schema creation and pipeline management, making them ideal for rapid deployment of entire data warehouses. Data Integration Specialists focus on connectivity and transformation logic, enabling robust data pipelines.

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52

CIO Business Intelligence

FEBRUARY 18, 2025

Consider a simple use case example like email marketing where an agent can devise a plan that executes tasks across enterprise systems to access structured and unstructured data, transactional systems, APIs and document management systems. edge compute data distribution that connect broad, deep PLM eco-systems.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90