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

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. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

Cloudera

NOVEMBER 10, 2020

The four main pillars of our SQL Tool Design Philosophy consists of: Find and understand data – with confidence. Optimize and troubleshoot – with intelligence. Intelligent Data Navigation and Discovery. Optimization as you go. Design and iterate over queries – quickly and easily.

Visualization 114

Visualization Optimization Unstructured Data Dashboards 114

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 114

Analytics IoT Data-driven Snapshot 114

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

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

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 107

Big Data IT Data-driven Sales 107

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

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 71

Snapshot Unstructured Data Dashboards Interactive 71

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 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

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

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. How Cloudera DataFlow works with Cloudera Data Platform (CDP)?

Analytics 98

Analytics Unstructured Data IoT Visualization 98

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 91

Data Lake Unstructured Data Management Modeling 91

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. You can use Hue’s simple solr dashboard to build prototype applications. To do the latter: 1. Go to Hue.

Dashboards 85

Dashboards Data Processing Unstructured Data Management 85

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.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

DECEMBER 16, 2022

Meanwhile, the company’s IT teams could optimize their time by focusing on other important workloads. Comprehensive search and access to relevant data. 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.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 17, 2018

Cloudera recently launched Cloudera Data Warehouse, a modern data warehousing solution. It is designed and optimized to help with the majority of stress elements outlined above. No need to be a 100% expert on your data. Here are some highlights: Data Ingest. Most data is ingested through data engineering pipelines.

Data Warehouse 55

Data Warehouse Optimization Visualization Unstructured Data 55

Ontotext

NOVEMBER 22, 2020

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 2, 2023

How Apache Iceberg addresses what customers want in modern data lakes More and more customers are building data lakes, with structured and unstructured data, to support many users, applications, and analytics tools. On the EMR Studio dashboard, choose Create workspace. Choose an S3 path for Workspaces backup.

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

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. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Sisense

JUNE 30, 2020

Simply put, data visualization means showing data in a visual format that makes insights easier to understand for human users. Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

OCTOBER 29, 2020

At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. . Over the past months, we’ve been busy innovating and optimizing how teams across the lifecycle work together.

Visualization 113

Visualization Machine Learning Dashboards Data Warehouse 113

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. However, these wide-ranging data types are typically stored in silos across multiple data stores.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

SEPTEMBER 19, 2022

Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Real-time operational dashboards. Inventory optimization (in retail). Dashboarding with Cognos.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. We know the global volume of data will only grow larger and more difficult to navigate.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Sisense

AUGUST 21, 2020

Gartner: “Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures. Trend 2: Decline of the dashboard. Trend 3: Decision intelligence.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

DataKitchen

APRIL 13, 2021

ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management. Monte Carlo Data — Data reliability delivered. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

FineReport

FEBRUARY 5, 2020

They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Analytics dashboards. Highway monitoring dashboard made with FineReport.

Metadata 98

Metadata Dashboards Informatics Visualization 98

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Other considerations include the ability to: Compare models and databases.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

IBM Big Data Hub

JANUARY 16, 2024

Serving as a one-stop shop, it measures, reports, creates baselines and provides a unified dashboard view of the carbon footprint across the hybrid cloud environment—including private data centers, public cloud and user devices. It helps identify energy or carbon hotspots to develop an optimization roadmap.

IT 86

IT Cost-Benefit Consulting Measurement 86

FineReport

JUNE 24, 2021

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. All BI software capabilities, functionalities, and features focus on data.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Cloudera

AUGUST 20, 2021

As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs. A Holistic Visual Exploration of Data. Those major functional and non-functional requirements include: .

Strategy 100

Strategy Cost-Benefit Visualization Data Warehouse 100