AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. Both Delta Lake and Iceberg metadata files reference the same data files.

Metadata 120

Metadata Data Warehouse Big Data Data Lake 120

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ).

Snapshot 93

Snapshot Metadata Recreation/Entertainment Data Processing 93

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Some senior technology leaders fear a Pandoras Box type situation with AI becoming impossible to control once unleashed.

Risk 111

Risk Data Strategy Strategy Data Governance 111

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata. Within this feature, user data is secure and private.

Metadata 104

Metadata Sales Data Warehouse Optimization 104

AWS Big Data

NOVEMBER 13, 2024

The second use case enables the creation of reports containing shop floor key metrics for different management levels. In addition, the team aligned on business metadata attributes that would help with data discovery. The data solution uses Amazon DataZone glossaries and metadata forms to provide business context to their data.

Metadata 103

Metadata Data Quality Digital Transformation Data-driven 103

KDnuggets

JUNE 12, 2025

Install them with: pip install pypdf langchain If you want to manage dependencies neatly, create a requirements.txt file with: pypdf langchain requests And run: pip install -r requirements.txt Step 1: Set Up the PDF Parser(parser.py) The core class CustomPDFParser uses PyPDF to extract text and metadata from each PDF page.

Metadata 96

Metadata Data Science Machine Learning Advertising 96

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Thus, managing data at scale and establishing data-driven decision support across different companies and departments within the EUROGATE Group remains a challenge. This process is shown in the following figure.

IoT 109

IoT Machine Learning Metadata Data-driven 109

AWS Big Data

JULY 18, 2025

As a fully managed service, QuickSight offers enterprise-grade security, global accessibility, and scalability without the hassle of infrastructure management. For QuickSight VPC manager role , select the AmazonSageMakerQuickSightVPC role. To enable the QuickSight Blueprint, select it from the list, then choose Enable.

Dashboards 100

Dashboards Metadata KPI Publishing 100

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight. This led to inefficiencies in data governance and access control.

Data Lake 101

Data Lake Sales Metadata Machine Learning 101

AWS Big Data

NOVEMBER 6, 2024

As businesses generate more data from a variety of sources, they need systems to effectively manage that data and use it for business outcomes—such as providing better customer experiences or reducing costs. Firehose integrates with the AWS Glue Data Catalog , so you can use features in AWS Glue such as managed compaction for Iceberg tables.

Metadata 115

Metadata Data Lake Internet of Things Management 115

AWS Big Data

NOVEMBER 19, 2024

The permission mechanism has to be secure, built on top of built-in security features, and scalable for manageability when the user base scales out. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona.

Management 98

Management Metadata Manufacturing Testing 98

AWS Big Data

OCTOBER 23, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience.

Interactive 111

Interactive Testing Data-driven Data Lake 111

AWS Big Data

JUNE 2, 2025

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) has become a cornerstone for organizations embracing data-driven decision-making. As a scalable solution for managing complex data pipelines, Amazon MWAA enables seamless orchestration across AWS services and on-premises systems.

Metadata 97

Metadata Testing Metrics Cost-Benefit 97

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. As stated earlier, the first step involves data ingestion.

Sales 113

Sales Data-driven Data Processing Key Performance Indicator 113

AWS Big Data

DECEMBER 19, 2024

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. This Lambda function contains the logic to manage access policies for the subscribed unmanaged asset, automating the subscription process for unstructured S3 assets.

Publishing 90

Publishing Unstructured Data Metadata Data-driven 90

CIO Business Intelligence

DECEMBER 9, 2024

The Bedrock updates included Model Distillation a managed service aimed at helping enterprises bring down their cost of running LLMs, and prompt caching on Bedrock designed to reduce the cost of prompting an LLM by storing prompts in a cached memory. On the storage front, AWS unveiled S3 Table Buckets and the S3 Metadata features.

Metadata 116

Metadata Unstructured Data Data Lake Data-driven 116

David Menninger's Analyst Perspectives

MAY 22, 2025

These catalogs combine technical and business metadata and data governance capabilities with knowledge graph functionality to deliver a holistic, business-level view of data production and consumption. I recently described how business data catalogs are evolving into data intelligence catalogs.

Metadata 130

Metadata Enterprise Data-driven Publishing 130

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. You can also create new data lake tables using Redshift Managed Storage (RMS) as a native storage option.

Data Lake 93

Data Lake Data Warehouse Data-driven Optimization 93

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Instead, organizations resort to manual workarounds often managed by overburdened analysts or domain experts.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

MAY 20, 2025

Supply chain management (SCM) is a critical focus for companies that sell products, services, hardware, and software. The updated version includes more emerging drivers of supply chain success, covering topics such as omnichannel, metadata, and blockchain , according to the ASCM. What is the main focus of the SCOR model?

Modeling 104

Modeling Management Metrics Measurement 104

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. The adoption of open table formats is a crucial consideration for organizations looking to optimize their data management practices and extract maximum value from their data.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

CIO Business Intelligence

NOVEMBER 21, 2024

By replicating the enterprise’s data and metadata into a risk-free environment, development teams can rapidly assemble their unstructured data foundation and rigorously prototype Agentforce without fear of disrupting the business,” the company explained in a statement. These new observability tools can be used for continuous iteration of agents.

Testing 105

Testing Unstructured Data Interactive Metadata 105

AWS Big Data

JUNE 23, 2025

Various methodologies address the complexities of SCD management. Also note that our convention is that dw_* columns are used to catch SCD metadata information and other metadata in general. In data warehousing, an SCD is a dimension that stores data, and though it’s generally stable, it might change over time.

Data Warehouse 106

Data Warehouse Metadata Data-driven Reporting 106

AWS Big Data

OCTOBER 30, 2024

secret_id – The ID of the AWS Secrets Manager secret for the source database credentials. Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names). source_s3_bucket – The raw S3 bucket name. dbname – The source database name.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

David Menninger's Analyst Perspectives

MAY 14, 2025

As I recently explained, data governance catalogs also enable data stewards, data quality and data governance professionals to define and manage data usage policies, view and manage data profiles, determine and administer data quality rules and define and administer data models and master data definitions.

Data Governance 147

Data Governance Data Quality Data-driven Metadata 147

AWS Big Data

DECEMBER 4, 2024

This isn’t just about making data management effortless—it’s about using AI to make your data work harder for you, unlocking insights that might otherwise remain hidden, and enabling everyone in your organization to work with data confidently, regardless of their technical expertise. Having confidence in your data is key.

Data Analytics 97

Data Analytics Analytics Data Lake Data Quality 97

AWS Big Data

DECEMBER 10, 2024

As organizations increasingly adopt cloud-based solutions and centralized identity management, the need for seamless and secure access to data warehouses like Amazon Redshift becomes crucial. federated users to access the AWS Management Console. From there, the user can access the Redshift Query Editor V2. Save this file locally.

Sales 102

Sales Metadata Enterprise Testing 102

AWS Big Data

APRIL 9, 2025

Whether youre a data analyst seeking a specific metric or a data steward validating metadata compliance, this update delivers a more precise, governed, and intuitive search experience. Refer to the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows.

Metadata 101

Metadata Metrics Cost-Benefit Data-driven 101

AWS Big Data

NOVEMBER 11, 2024

Kinesis Data Streams is a fully managed, serverless data streaming service that stores and ingests various streaming data in real time at any scale. To create an OpenSearch domain, see Creating and managing Amazon OpenSearch domains. To create a Kinesis Data Stream, see Create a data stream.

Metadata 118

Metadata Metrics Analytics Data Processing 118

AWS Big Data

DECEMBER 19, 2024

Today, they play a critical role in syncing with customer applications, enabling the ability to manage concurrent data operations while maintaining the integrity and consistency of information. 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

AWS Big Data

JULY 1, 2025

This new capability, powered by large language models (LLMs) in Amazon Bedrock, extends automated metadata generation to the broader spectrum of enterprise data, including Iceberg tables in Amazon Simple Storage Service (Amazon S3) or datasets from third-party and internal applications.

Metadata 61

Metadata Finance Publishing Software 61

DataFloq

JULY 15, 2025

Worse, inconsistencies introduced during poorly managed anonymization can lead to regulatory failures when audit trails break or data lineage is lost. As a leading data management ecosystem, it supports 200+ data anonymization techniques, including no-code customization and integration of CI/CD pipelines.

Data Governance 96

Data Governance Unstructured Data Risk Testing 96

Cloudera

DECEMBER 19, 2024

Inevitably, the majority of companies will find themselves managing distributed systems, often in multiple clouds and on-premises. Clouderas investment in and support for open metadata standards, our true hybrid architecture, and our native Spark offering for Iceberg combine to make us the ideal Iceberg data lakehouse.

Metadata 75

Metadata Data Processing Machine Learning Cost-Benefit 75

Cloudera

OCTOBER 10, 2024

It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. They reduce data management effort and overhead by automating some of the most tedious lakehouse maintenance tasks.

Optimization 84

Optimization Snapshot Data Lake Cost-Benefit 84

Smarten

NOVEMBER 26, 2024

Today, organizations look to data and to technology to help them understand historical results, and predict the future needs of the enterprise to manage everything from suppliers and supplies to new locations, new products and services, hiring, training and investments. But too much data can also create issues.

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62