AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. With AWS Glue 5.0,

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

AUGUST 15, 2024

To learn more, see Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions. In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

AWS Big Data

OCTOBER 2, 2023

JSON data in Amazon Redshift Amazon Redshift enables storage, processing, and analytics on JSON data through the SUPER data type, PartiQL language, materialized views, and data lake queries. The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type.

Cost-Benefit 115

Cost-Benefit Metadata Structured Data Data-driven 115

Ontotext

OCTOBER 14, 2021

For the purposes of this article, you just need to know the following: A graph is a method of storing and modeling data that uniquely captures the relationships between data. A knowledge graph uses this format to integrate data from different sources while enriching it with metadata that documents collective knowledge about the data.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Alation

FEBRUARY 20, 2020

By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

JANUARY 22, 2024

The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes. They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

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

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. In the case of intelligent operations, real-time data informs immediate operational decisions.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Ontotext

JUNE 22, 2023

They frequently spend hours reading through hundreds of publications to find new insights and then confirm them with structured information. On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust. Our customer is a U.S.-based

Metrics 52

Metrics Statistics Visualization Data-driven 52

CIO Business Intelligence

DECEMBER 4, 2023

Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON. WHERE l_shipdate >= current_date - $1 AND.

Statistics 108

Statistics Data Warehouse Metadata Data Lake 108

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale.

Data Lake 98

Data Lake IoT Metadata Testing 98

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