CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

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 80

Data Lake Big Data Consulting Data Warehouse 80

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

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

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 79

Big Data Software Consulting Unstructured Data 79

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Management 75

Alation

JUNE 2, 2022

Currently, models are managed by modelers and by the software tools they use, which results in a patchwork of control, but not on an enterprise level. A data catalog is a central hub for XAI and understanding data and related models. And until recently, such governance processes have been fragmented. Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Data Integration.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Ontotext

JANUARY 6, 2021

A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. Performing significantly higher score in the enterprise level entity disambiguation tasks, which enables new types of automatic data and content processing.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

AWS Big Data

JANUARY 12, 2024

This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events. Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake.

Data Lake 90

Data Lake Cost-Benefit Visualization Structured Data 90

Ontotext

JULY 26, 2019

Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world. Read more at: [link]. Epilogue: Food For Thought.

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

AUGUST 24, 2023

The second approach is to use some Data Integration Platform. As an enterprise-supported tool, it has already established how to make all data transformations. Then the recommended approach is to use one of the many JSON to RDF transformation frameworks to produce RDF data.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? What is it? Which Semantic Web?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

FineReport

JULY 18, 2022

Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best. FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. It also has a commercial version for enterprises. FineRepor t. From FineReport. Free Download.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

IBM Big Data Hub

JUNE 26, 2023

Moreover, it was not able to ensure enterprise-level security and high availability, and it did not support natural integration with the core business systems and the common production systems. Applications that extract data can use the data directly by subscribing to the corresponding topic channel of Event Streams.

Manufacturing 68

Manufacturing Software Optimization Digital Transformation 68

AWS Big Data

DECEMBER 15, 2023

We use the following services: Amazon Redshift is a cloud data warehousing service that uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price/performance at any scale.

Data Lake 99

Data Lake Data Warehouse Big Data Structured Data 99

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. 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.

Unstructured Data 71

Unstructured Data Data Architecture Data Lake Snapshot 71

Ontotext

MAY 30, 2019

A Headful of Linked Data. The deconstructed Johnny’s data problems are three: 1. Which are not so different from the concerns of any other enterprise having to deal with data management. 6 Linked Data, Structured Data on the Web. Linked Data or Semantic Technology? Retrieval and 3.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

DataRobot Blog

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.

Analytics 40

Analytics IoT Internet of Things B2B 40

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. Cloudera Enterprise. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Ontotext

MAY 30, 2019

A Headful of Linked Data. The deconstructed Johnny’s data problems are three: 1. Which are not so different from the concerns of any other enterprise having to deal with data management. 6 Linked Data, Structured Data on the Web. Linked Data or Semantic Technology? Retrieval and 3.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Ontotext

APRIL 25, 2019

Deep and rich search results are paramount for thorough and accurate analysis across enterprise information systems. Data, Databases and Deeds: A SPARQL Query to the Rescue. The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources.

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

Alation

OCTOBER 28, 2021

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Ontotext

APRIL 25, 2019

quintillion bytes of data created each day, the bar for enterprise knowledge and information systems, and especially for their search functions and capabilities, is raised high. The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The continued federation of data in the enterprise resulted in data silos.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

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. In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD).

Metadata 121

Metadata Cost-Benefit Enterprise Interactive 121

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? Salesforce’s solution is TransmogrifAI , an open source automated ML library for structured data.

Machine Learning 261

Machine Learning Software Testing Modeling 261

Jet Global

NOVEMBER 7, 2023

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. Enterprise-level organizations like yours often have multiple data sources and systems. The alternative to BICC is BI Publisher (BIP)​.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52