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 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

CIO Business Intelligence

MAY 10, 2024

NoSQL NoSQL is a type of distributed database design that enables users to store and query data without relying on traditional structures often found in relational databases. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130

IT Unstructured Data Software Reporting 130

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For more details on data science bootcamps, see “ 15 best data science bootcamps for boosting your career.”. Data science teams.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

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 135

Analytics Data Science Unstructured Data Data mining 135

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Consider some of the examples of use cases from our clients in the industry: Visual insights.

Unstructured Data 83

Unstructured Data Consulting Visualization IoT 83

FineReport

JULY 1, 2021

BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Their purpose is to help identify, develop and otherwise tap the value of big data and create opportunities for new strategic businesses. Data querying & discovery. Data visualization.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 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 131

Analytics Data Science Statistics Unstructured Data 131

IBM Big Data Hub

OCTOBER 12, 2022

To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. It lets a fantasy owner visualize the risk-and-reward scenarios, see trends over time and field a more competitive team. Not anymore. Encouraging trades and transactions.

Unstructured Data 90

Unstructured Data Consulting Statistics Data-driven 90

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Data being spread out amongst many databases.

Dashboards 316

Dashboards KPI Sales Visualization 316

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. The raw data can be streamed to Amazon S3 for archiving.

Analytics 115

Analytics IoT Data-driven Snapshot 115

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

IBM Big Data Hub

DECEMBER 19, 2023

Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. “Means,” or average data, refers to the points in the center of the cluster that all other data is related to. This usually helps to make the model’s predictions more accurate.

Machine Learning 73

Machine Learning Optimization Unstructured Data Sales 73

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Why Big Data Analysis Report? Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Smart Data Collective

APRIL 5, 2022

This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets. A data visualization interface known as SPSS Modeler. Neptune.ai. You can easily integrate the hardware accelerator with other tools.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

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

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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 116

Data Lake Analytics Dashboards Metrics 116

AWS Big Data

SEPTEMBER 8, 2023

Based on the open source OpenSearch suite, Amazon OpenSearch Service allows you to search, visualize, and analyze up to petabytes of text and unstructured data. Cluster manager (dedicated master): Responsible for managing the cluster and checking the health of the data nodes in the cluster.

Management 94

Management Metrics Measurement Unstructured Data 94

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 93

Data Lake Unstructured Data Management Modeling 93

Cloudera

SEPTEMBER 10, 2018

Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples. Sophisticated specialists are emerging: As the use cases for Cloudera Data Warehouse become more sophisticated, so do the partners. This provides BI-style analytics on data that was typically limited to a technical user base.

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43

IBM Big Data Hub

AUGUST 28, 2023

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. Popular algorithms for topic modeling include Latent Dirichlet Allocation (LDA) and non-negative matrix factorization (NMF).

Data mining 60

Data mining Machine Learning Deep Learning Marketing 60

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. Protected and compliant data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

AUGUST 15, 2023

With the release of the Amazon Athena data source connector for Google Cloud Storage (GCS), you can run queries within AWS to query data in Google Cloud Storage, which can be stored in relational, non-relational, object, and custom data sources, whether that be Parquet or comma-separated value (CSV) format.

Recreation/Entertainment 88

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 88

Sisense

JUNE 26, 2020

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. Visual processing and responses both occur more quickly compared to other stimuli. This where the power of visualizations is apparent.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 77

Data Lake Testing Interactive Unstructured Data 77

Cloudera

SEPTEMBER 7, 2018

Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated. Analyzing unstructured data sets such as text, audio and images are challenging, especially while determining illegal intent in communications.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

FineReport

JUNE 24, 2021

Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. BI software solutions often support multiple data source connections. Data visualization analysis. Business intelligence solutions contain visualization solutions full of imagination.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

JUNE 29, 2022

Data Factory includes features such as “ code by example ” to help users build queries but also has options to use languages such as Python, Java, and.NET with Git and CI/CD support, making it particularly useful for migrating SQL Server Integration Services to Azure. Azure Data Explorer. Everything is visual. Azure Databricks.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Smart Data Collective

SEPTEMBER 26, 2021

Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making. Working with massive structured and unstructured data sets can turn out to be complicated. It’s much easier to work with graphs.

Metadata 99

Metadata Visualization Unstructured Data Data mining 99