AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. On the navigation pane, select Crawlers.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

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

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

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

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. and later).

Dashboards 122

Dashboards Metrics KPI Data-driven 122

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. Each product contains metadata including the ID, current stock, name, category, style, description, price, image URL, and gender affinity of the product.

Dashboards 119

Dashboards Metadata Modeling Visualization 119

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

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 131

Data Lake Analytics Dashboards Metrics 131

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

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 134

Analytics IoT Data-driven Snapshot 134

Sisense

AUGUST 21, 2020

Trend 2: Decline of the dashboard. Gartner: “Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration.”. This is what keeps Sisense AIR busy: dashboard automation research and our knowledge graph , which has incorporated the behavior of thousands of past users.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Data Warehouse 66

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. 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

Domino Data Lab

JANUARY 21, 2021

While these tools are extremely useful for creating polished, reusable, visual dashboards for presenting data-driven insights, they are far less flexible in their ability to produce the information required to form the basis of a predictive modeling task. Our customized profile, complete with key metadata and variable descriptions.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

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

Ontotext

NOVEMBER 22, 2020

Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. When that metadata is connected within a knowledge graph, a powerful mechanism for content enrichment is unlocked. Ontotext Platform can be employed for a number of applications within an enterprise.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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. For building such a data store, an unstructured data store would be best. SageMaker is the most straightforward way to fine-tune your FMs.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

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. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

FEBRUARY 21, 2023

When results are calculated for two or more data marts, this helps eliminate redundant computation and associated inconsistencies. Because business vaults still don’t satisfy reporting needs, enterprises create a data mart after the business vault to satisfy dashboarding needs.

Data Warehouse 91

Data Warehouse Data Lake Cost-Benefit Metadata 91

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Wayne Yaddow

MARCH 14, 2025

Each row provides a brief description of how dbt assists in testing and reporting test results for data transformations and conversions. JSON Artifacts : By default, dbt Core writes structured run and test results to JSON files in the target directory, enabling further analysis or integration with dashboards.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. Entity Resolution and Data Enrichment. riskCanvas Entity Analytics.

Machine Learning 40

Machine Learning Big Data Risk Data Science 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

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. A cloud data breach of your most sensitive data would be a costly blow, both in terms of monetary losses and damage to your brand.

Management 40

Management Risk Risk Management Data Processing 40

Jet Global

JUNE 24, 2024

The only difficulty is determining the metadata for the columns in the CSV. The only important thing is that you can create code which exposes this data and metadata. A more complex example involves using a JSON data source. There are several ways to map this type of data. Enable cookies.

Unstructured Data 52

Unstructured Data Metadata Reporting Software 52

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.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

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

AWS Big Data

APRIL 28, 2025

Many organizations turn to data lakes for the flexibility and scale needed to manage large volumes of structured and unstructured data. The data is stored in Apache Parquet format with AWS Glue Catalog providing metadata management. This meant NI couldnt rely on Glue Catalog events to detect partition changes.

Data Lake 67

Data Lake Metadata Cost-Benefit Snapshot 67