AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Cloudera

AUGUST 30, 2018

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. For more on the data-driven journey, I would encourage you to view our Cloudera Now presentation. The rest of this blog is focused on how Cloudera Enterprise 6.0 The post Introducing Cloudera Enterprise 6.0

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Ontotext

JANUARY 29, 2024

LLMs can optimize several tasks, such as updating taxonomies, classifying entities, and extracting new properties and relationships from unstructured data. As innovative and emerging technologies such as digital twins, IoT, AI, and ML gain further mind share, managing data will become even more important.

Strategy 52

Strategy Management Metadata Data-driven 52

bridgei2i

NOVEMBER 25, 2020

From underwriting processes that typically involved manual effort (in gathering data from documents), enterprises have now shifted to automation with a digital core that can make it easier to analyze several types of data formats—textual, visual, sensor-based and electronic. Author: Prabuddha Jagadeb.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days. How Cloudera DataFlow works with Cloudera Data Platform (CDP)?

Analytics 92

Analytics Unstructured Data IoT Visualization 92

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Others call it the new gold.

Management 138

Management Internet of Things Statistics Data-driven 138

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Smart Data Collective

SEPTEMBER 26, 2019

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

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

bridgei2i

OCTOBER 7, 2020

The automated process can then be used to parse data sources like structured and unstructured data sources such as – IoT data, claims data, physical proofs, social data, life health data and in a variety of formats such as textual, visual, sensor-based and electronic etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data-driven 79

Data-driven Enterprise Data Governance Unstructured Data 79

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 88

Data Collection IoT Data Lake Unstructured Data 88

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. DataOps is a hot topic in 2021.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. Storing data is extremely expensive even with VMs during this time. Google announces Cloud IoT. billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics. Microsoft.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

bridgei2i

MAY 7, 2019

Although the digital transformation of enterprises may seem challenging, it is not impossible. Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. Wealth Management for Clients.

IoT 40

IoT Unstructured Data Finance Data-driven 40

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. AI is undoubtedly one of the most prominent 2020 buzzwords to look out for.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 106

Visualization Machine Learning Dashboards Data Warehouse 106

Octopai

JANUARY 31, 2022

Integration of external data with complex structures. Big data is BIG. Enterprises often use data sources originating outside their organization, including data sets from the internet, the IoT, industrial sources, and scientific sources. Multiple, uncoordinated data systems.

Metadata 77

Metadata IT Unstructured Data IoT 77

IBM Big Data Hub

MAY 17, 2023

The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 80

Data Collection Visualization Data-driven Unstructured Data 80

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

AWS Big Data

FEBRUARY 21, 2023

Because data is closer to the source and stored in raw format, it has to be transformed before it can be used for reporting and other application purposes. This is one of the biggest hurdles with the data vault approach. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

Sisense

MAY 11, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

Sisense

JULY 23, 2021

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris. >>>Infused analytics can help evolve every part of your business.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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 122

Metadata Cost-Benefit Enterprise Interactive 122

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52