Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Choose Next to create your stack.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

Ontotext

JULY 9, 2020

What lies behind building a “nest” from irregularly shaped, ambiguous and dynamic “strings” of human knowledge, in other words of unstructured data? To do that Edamam, together with Ontotext, worked to develop a knowledge graph with semantically enriched nutrition data.

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

Cloudera

FEBRUARY 15, 2024

Improved data accessibility: By providing self-service data access and analytics, modern data architecture empowers business users and data analysts to analyze and visualize data, enabling faster decision-making and response to regulatory requirements.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. The post Your Effective Roadmap To Implement A Successful Business Intelligence Strategy appeared first on BI Blog | Data Visualization & Analytics Blog | datapine. Because it is that important.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

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. Introduction. To learn more about the CDF platform, please visit [link].

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Sisense

JULY 22, 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 organizations tackle the challenges of this new world to help their companies and their customers thrive. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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

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.

Data Lake 111

Data Lake Big Data Data Warehouse Consulting 111

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

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

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

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

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data. This approach ensures you have the most up-to-date data available for real-time analytics.

Data Lake 116

Data Lake Marketing Data Processing Management 116

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. .

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

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

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

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

JULY 12, 2024

We offer two different PowerPacks – Agile Data Integration and High-Performance Tagging. The Agile Data Integration PowerPack bundle The other bundle is the Agile Data Integration PowerPack. It helps enterprises unite different data silos and allows them to manage all digital assets from one place.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. This is the power of Zenia Graph’s services and solution powered by Ontotext GraphDB.

Data-driven 52

Data-driven Strategy Sales Data Integration 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

MARCH 23, 2023

At the same time, there are more demands for data to be used in real-time and for businesses to have a better understanding of it. In addition, there is a growing trend of automating data integration and management processes. All this makes it difficult to navigate the enterprise data landscape and stay ahead of the competition.

Management 52

Management Metadata Unstructured Data Data Integration 52

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Learn more about the benefits of data fabric and IBM Cloud Pak for Data.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

erwin

SEPTEMBER 16, 2024

As organizations are utilizing different platforms, the ability to jump from traditional relational databases to NoSQL databases that are ideal for scalability and handling large amounts of unstructured data is paramount. These enhancements also help reduce redundancy and improve data consistency. can help solve! Register Now!

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

Ontotext

SEPTEMBER 2, 2020

For efficient drug discovery, linked data is key. The actual process of data integration and the subsequent maintenance of knowledge requires a lot of time and effort. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

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

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications. Security Data security is a high priority.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Everybody wins with a data catalog.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

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

Cloudera

MAY 16, 2018

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

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

BI-Survey

FEBRUARY 13, 2025

SAP has recently started to emphasize the business aspect in its messaging (see related BARC blog post in German ), a strategy it is continuing with BDC. Instead, the Databricks object store provides an industry-standard and more cost-efficient solution for storing data.

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52

BizAcuity

DECEMBER 2, 2024

Let’s explore how BI tools can help you get the most out of Big Data—and ultimately drive your business forward. What Exactly is Big Data? Simply put, it’s the large volume of structured and unstructured data that your business generates every day. million terabytes of data are created each day, according to Statista.

Business Intelligence 52

Business Intelligence Big Data Consulting Predictive Analytics 52