AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). This solution uses distance-based filtering to reduce costs and jitter.

Analytics 95

Analytics IoT Metadata Internet of Things 95

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. There is some recently published research about the ability of data scientists to discover errors.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Data ingestion – Pentaho was used to ingest data sourced from multiple data publishers into the data store.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

AWS Big Data

OCTOBER 2, 2023

When the structure of the JSON documents and specific reporting requirements are defined, these methods allow for pre-computing a materialized view with the exact structure needed for reporting, with improved compression and sorting for analytics.

Cost-Benefit 87

Cost-Benefit Metadata Structured Data Management 87

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

FineReport

FEBRUARY 5, 2020

Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Publish and share analysis content. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

JUNE 14, 2023

Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

DataRobot Blog

APRIL 1, 2018

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. We agree with that.

Analytics 40

Analytics IoT Internet of Things B2B 40

IBM Big Data Hub

NOVEMBER 3, 2023

Unlike magnetic storage (such as HDDs and floppy drives) that store data using magnets, solid-state storage drives use NAND chips, a non-volatile storage technology that doesn’t require a power source to maintain its data. What is NVMe?

Cost-Benefit 73

Cost-Benefit Enterprise Internet of Things Technology 73

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Visual analytics and data visualizations in action.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

NOVEMBER 25, 2020

This is essential to allow participating trial patients to feel safe and confident sharing their sensitive data, as well as for the organization to comply with all necessary regulations, audit, and compliance rules. . Traditional systems are siloed, hard to access and often structured to serve traditional reports.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. Most BI tools on the market provide an exhaustive set of customization options to build data visualizations. To make your work available to everyone, you need to publish it into Production.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. The first one is Schema.org: millions of web pages are tagged with semantic annotations to enable a much better web search experience.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Cloudera

OCTOBER 3, 2018

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. In the data center and in the cloud, there’s a proliferation of players, often building on technology we’ve created or contributed to, battling for share.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Smart Data Collective

MARCH 16, 2020

No doctor could analyze the 5,000 scientific articles published annually on coronary diseases. The medical examination, the diagnosis, the prescriptions, most of the doctor’s activity can be done by a robot and with more objective data in the head. Unstructured or unstructured data is the opposite.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78

Jet Global

FEBRUARY 14, 2022

Tax planning and reporting have risen to the top of the corporate agenda. It’s not surprising that recruitment companies are reporting a strong appetite for tax professionals who can help corporates deal with such seismic change. Read how to elevate tax to a strategic function. Tax Professionals Needed. The Rise of Tax Technologists.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

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