AWS Big Data

NOVEMBER 14, 2024

This expands data access to broader options of analytics engines. Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. With UniForm, you can read Delta Lake tables as Apache Iceberg tables.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 100

Data Analytics Analytics Data Lake Data Quality 100

O'Reilly on Data

FEBRUARY 11, 2020

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

AWS Big Data

NOVEMBER 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

AWS Big Data

JULY 29, 2024

This enables more informed decision-making and innovative insights through various analytics and machine learning applications. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

NOVEMBER 22, 2024

How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. Metadata files exist in the snapshot to provide details about the snapshot as a whole, the source cluster’s global metadata and settings, each index in the snapshot, and each shard in the snapshot.

Snapshot 95

Snapshot Metadata Recreation/Entertainment Data Processing 95

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 105

Metadata Sales Data Warehouse Optimization 105

David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets.

Data Governance 349

Data Governance Metadata Software Management 349

AWS Big Data

JANUARY 15, 2025

Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. Eliminate centralized bottlenecks and complex data pipelines.

IoT 110

IoT Machine Learning Metadata Data-driven 110

CIO Business Intelligence

FEBRUARY 27, 2025

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 91

Metadata Data Governance Metrics Marketing 91

AWS Big Data

NOVEMBER 11, 2024

You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. This allows the log analytics pipeline to meet Well-Architected best practices for resilience ( REL04-BP02 ) and cost ( COST09-BP02 ).

Metadata 120

Metadata Metrics Analytics Data Processing 120

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

DECEMBER 11, 2024

This need to improve data governance is therefore at the forefront of many AI strategies, as highlighted by the findings of The State of Data Intelligence report published in October 2024 by Quest, which found the top drivers of data governance were improving data quality (42%), security (40%), and analytics (40%).

Risk 111

Risk Data Strategy Strategy Data Governance 111

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. This concept makes Iceberg extremely versatile.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. This allowed customers to scale read analytics workloads and offered isolation to help maintain SLAs for business-critical applications.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 129

Management Metadata Analytics Dashboards 129

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

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.

Data Lake 104

Data Lake Sales Metadata Machine Learning 104

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

AWS Big Data

DECEMBER 4, 2024

By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. These are useful for flexible data lifecycle management.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

MARCH 5, 2025

After theyve been published, you can query the published assets from another AWS account using analytical tools such as Amazon Athena and the Amazon Redshift query editor , as shown in the following figure. Under Analytics tools, choose Amazon Redshift to open the Amazon Redshift query editor. Navigate to Redshift_publish_environment.

Analytics 60

Analytics Publishing Metadata Sales 60

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 145

Predictive Analytics Analytics Manufacturing Advertising 145

O'Reilly on Data

JANUARY 29, 2019

Companies are building or evaluating solutions in foundational technologies needed to sustain success in analytics and AI.

Deep Learning 270

Deep Learning Machine Learning Data Science Metadata 270

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. His core area of expertise includes technology strategy, data analytics, and data science.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular. Here are a couple of the biggest takeaways we had from our time at the event.

Analytics 110

Analytics Metadata Data Strategy Optimization 110

AWS Big Data

NOVEMBER 6, 2024

reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints. Pratik Patel is a Senior Technical Account Manager and streaming analytics specialist. Other benefits in KCL 3.0

Cost-Benefit 115

Cost-Benefit Metadata Optimization Publishing 115

O'Reilly on Data

JANUARY 8, 2019

Beyond investments in narrowing the skills gap, companies are beginning to put processes in place for their data science projects, for example creating analytics centers of excellence that centralize capabilities and share best practices. For most companies, the road toward machine learning (ML) involves simpler analytic applications.

Machine Learning 272

Machine Learning IoT Internet of Things Data Science 272

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. The data is also registered in the Glue Data Catalog , a metadata repository. You don’t need to maintain complex ETL pipelines.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Let’s dive into the highlights.

Data Warehouse 127

Data Warehouse Analytics Data Lake Machine Learning 127

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 127

Data Lake Analytics Cost-Benefit Management 127