FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. 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.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Smart Data Collective

APRIL 5, 2022

A text analytics interface that helps derive actionable insights from unstructured data sets. A data visualization interface known as SPSS Modeler. There are a number of reasons that IBM Watson Studio is a highly popular hardware accelerator among data scientists. Neptune.ai. Neptune.AI

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

CIO Business Intelligence

SEPTEMBER 17, 2024

The CRM software provider terms the Data Cloud as a customer data platform, which is essentially its cloud-based software to help enterprises combine data from multiple sources and provide actionable intelligence across functions, such as sales, service, and marketing. This ensures faster, more accurate customer interactions.

Unstructured Data 93

Unstructured Data Enterprise Software Metadata 93

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

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 112

IT Data Architecture Unstructured Data Big Data 112

Domino Data Lab

JANUARY 21, 2021

For example: Observing the frequency of missing data across a dataset’s features often tells one which features can be used for the purposes of modeling out of the box (e.g., Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. imputation of missing values).

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14).

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

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 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

JUNE 14, 2023

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth. Evaluate data across the full lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

JUNE 18, 2024

To enable multimodal search across text, images, and combinations of the two, you generate embeddings for both text-based image metadata and the image itself. When you use the neural plugin’s connectors, you don’t need to build additional pipelines external to OpenSearch Service to interact with these models during indexing and searching.

Dashboards 107

Dashboards Metadata Modeling Visualization 107

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 94

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 94

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). Coordinates distribution of data and metadata, also known as shards.

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

Sisense

AUGUST 21, 2020

In a similar way, the forthcoming “Explanations” feature provides users with possible drivers of the movements in the data automatically, using knowledge graphs to go beyond the boundaries of their charts. Trend 5: Augmented data management. Regarding data and tools, “ extract, transform, and load ” (ETL) will become ETLT.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 111

Metadata Modeling Data Processing Unstructured Data 111

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

Ontotext

DECEMBER 16, 2020

In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. To involve the reader even further, this blog post contains interactive Star War-themed examples. We also continued to improve our knowledge graph platform.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

Wayne Yaddow

MARCH 14, 2025

Moreover, dbt Core enables users to implement business logic directly within transformations, thereby ensuring contract validation for regulatory compliance or data quality governancesuch as confirming that all high-value transactions include approval codes or that sensitive personal data remains obscured.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

JANUARY 20, 2022

We’ve already discussed that enterprise knowledge graphs bring together and harmonize all-important organizational knowledge and metadata. They focus on business-specific information needs and how to properly source the needed data rather than analyze preexisting application models. Analyzing Unstructured Data with GraphDB 9.8.

Enterprise 52

Enterprise Unstructured Data Visualization Modeling 52

Ontotext

SEPTEMBER 2, 2020

Instead, it creates a unified way, sometimes called a data fabric, of accessing an organization’s data as well as 3rd party or global data in a seamless manner. Data is represented in a holistic, human-friendly and meaningful way. Knowledges Graphs for Memory Recall.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

AWS Big Data

FEBRUARY 21, 2023

Unlike a pure dimensional design, a data vault separates raw and business-generated data and accepts changes from both sources. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Q2: Would you consider Sisense better than others in handling big and unstructured data?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. .

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

CIO Business Intelligence

NOVEMBER 21, 2024

The tools added as part of the Testing Center upgrade include generating synthetic interactions using natural language interactions, sandboxes, and tools for observing the agents’ performance.

Testing 105

Testing Unstructured Data Interactive Metadata 105

BI-Survey

FEBRUARY 27, 2025

However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. However, lineage information and comprehensive metadata are also crucial to document and assess AI models holistically in the domain of AI governance.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

BI-Survey

FEBRUARY 13, 2025

Instead, SAP is focusing on its core strength leveraging its deep understanding of business processes to transform the resulting data and metadata into valuable D&A insights. Moreover, BARC research also shows that the importance of unstructured data is also growing in importance.

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52

AWS Big Data

JANUARY 29, 2025

Amazon EMR has long been the leading solution for processing big data in the cloud. Amazon EMR is the industry-leading big data solution for petabyte-scale data processing, interactive analytics, and machine learning using over 20 open source frameworks such as Apache Hadoop , Hive, and Apache Spark.

Big Data 69

Big Data Data Analytics Analytics Interactive 69