Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. You can link dashboards and have them depend on each other.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 111

Data Lake Analytics Dashboards Metrics 111

Ontotext

MAY 17, 2019

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. Ontotext’s Smart Pharma Search Solution .

Slice and Dice 76

Slice and Dice Unstructured Data Dashboards Optimization 76

FineReport

JULY 28, 2021

It meets the analysis needs of structured and sometimes unstructured data, paving the way for new and profitable business opportunities. financial dashboard (by FineReport). What is Data Science? Insurance Dashboard (by FineReport). On the other hand, data science is typically more extensive and complex.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Software 146

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

Smarten

JUNE 10, 2022

Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access. Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Dashboards. Business Intelligence.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 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. On the QuickSight dashboard, choose your user name, then choose Manage QuickSight.

Data Lake 78

Data Lake Visualization Dashboards Insurance 78

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer.

Analytics 111

Analytics IoT Data-driven Snapshot 111

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Includes a drag-n-drop style, GUI-based Search Dashboard Designer.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

Ontotext

MAY 17, 2019

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. Ontotext’s Smart Pharma Search Solution.

Slice and Dice 40

Slice and Dice Unstructured Data Dashboards Optimization 40

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 109

IT Data Architecture Unstructured Data Big Data 109

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CIO Business Intelligence

JULY 10, 2023

One of the ways Rokita is looking to stay ahead in the AI landscape is the creation of a new ChatGPT plugin that exposes Edmunds’ unstructured data—vehicle reviews, ratings, editorials—to the generative AI. Now, without development costs we can share a data set with them and they can share a data set with us.

Data Warehouse 86

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 86

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

MARCH 25, 2024

This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. For building such a data store, an unstructured data store would be best. This is typically unstructured data and is updated in a non-incremental fashion.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

Sisense

MARCH 26, 2021

Some of those hurdles are overcome via dashboards, but they sit in a system several layers removed from anything that many people normally interact with. So, when organizations expect people to make data-driven decisions, they have to go through multiple steps to find the data — and hope that the right insight is even there.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

Cloudera

NOVEMBER 10, 2020

It, therefore, makes sense to provide a seamless transition from the context of HUE to Cloudera’s new, built-in Data Visualization tool. Cloudera Visualization allows dashboarding across all the data compute options within Cloudera’s Data Platform (e.g.

Visualization 109

Visualization Optimization Unstructured Data Dashboards 109

Andrew White

DECEMBER 9, 2019

Scope could be: Data (i.e. Information (processed data). Records (files, or what you might all unstructured data). Analytical stewardship is a missing link in analytics, BI and data science. Downstream in the analytics pipeline. Analytic (the analytics itself). Images (i.e. Events or transactions.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. But this is not your grandfather’s big data.

IT 75

IT Data Architecture Unstructured Data Big Data 75

Jet Global

OCTOBER 30, 2020

Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics. What are unstructured data? CustomerName.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Analytics 93

Analytics Unstructured Data IoT Visualization 93

Cloudera

SEPTEMBER 9, 2020

You can use Hue’s simple solr dashboard to build prototype applications. In the dashboard view, navigate to the index file of choice (e.g. Start dragging and dropping various dashboard elements and select the fields from the index to populate the data for the visual at hand. To do the latter: 1. Go to Hue.

Dashboards 82

Dashboards Data Processing Unstructured Data Management 82

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 105

Big Data IT Data-driven Sales 105

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured. Not Designed for Financial and Business Reporting.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Sisense

AUGUST 18, 2019

they’re great for handling large volumes of unstructured data, at speed. has since risen to the challenge, introducing a WiredTiger database engine that increases write speeds by 7-10x while cutting disk space by compressing data by 50%. See Sisense in action: Explore Dashboard. Are you using static JSON data?

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

FineReport

APRIL 26, 2023

” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. The tool is designed to be intuitive, so even users with limited technical expertise can create reports and dashboards quickly and easily. Offers interactive and shared dashboards. Allows for batch processing.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jedox

OCTOBER 22, 2020

Gartner defines “dark data” as the data organizations collect, process, and store during regular business activities, but doesn’t use any further. Gartner also estimates 80% of all data is “dark”, while 93% of unstructured data is “dark.”. Self-service reporting. Drill-down capability. Exception reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

DECEMBER 11, 2020

Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Smart Data Collective

OCTOBER 20, 2020

The powerful AI platform collects data from a number of sources like eCommerce reviews, UGC data, surveys and automatically converts the unstructured data into structured insights. There is no need to hire expensive data analysts. When you have the data in hand, you can make decisions with greater accuracy.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

bridgei2i

FEBRUARY 24, 2021

Many organizations today are dealing with large amounts of structured and unstructured data. And the fresh challenge is to derive actionable insights from that data, which is impacting their business outcomes. It works like a virtual analyst that can sit on top of your existing data structure and dashboards.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

TDAN

MAY 6, 2020

Real-Time Business Intelligence (RTBI) lets users access the information that happened recently via a dashboard. The latency of this data depends on the analytical purpose. The recent information can be an event that occurred a few milliseconds ago or before an hour. For marketing, the latency must be of least value.

Business Intelligence 76

Business Intelligence Dashboards Marketing Analytics 76

BizAcuity

NOVEMBER 26, 2019

Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. It is widely used for modeling and structuring of unshaped data. It can process a large amount of data.

Reporting 84

Reporting Recreation/Entertainment Interactive Data Processing 84

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.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52