AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

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IoT Machine Learning Metadata Data-driven 110

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. View more news from 2019 and beyond here.

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Metadata Management OLAP Data Governance 72

AWS Big Data

DECEMBER 4, 2024

Institutional Data & AI Platform architecture The Institutional Division has implemented a self-service data platform to enable the domain teams to build and manage data products autonomously. The following diagram illustrates the building blocks of the Institutional Data & AI Platform.

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Metadata Data Governance Data Quality Data-driven 105

Octopai

MAY 4, 2025

Octopai, CEO will be hosting a session on leveraging Metadata to build knowledge hub for successful enterprise AI implementation. If you are attending the event, visit us and learn more about how Cloudera and Octopai are leading the data management revolution.

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Data Analytics Metadata Data Processing Analytics 52

Cloudera

AUGUST 6, 2024

Open data is the future. And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. A few solutions manage both.

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Metadata Cost-Benefit Management Enterprise 82

AWS Big Data

NOVEMBER 11, 2024

The IAM role ARN must be the same for both the OpenSearch Servicer sink definition and the Kinesis Data Streams source definition. You can control what data gets indexed in different indexes using the index definition in the sink.

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Metadata Metrics Analytics Data Processing 121

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. Over the years, he has helped multiple customers on data platform transformations across industry verticals.

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Metadata Cost-Benefit Metrics Optimization 110

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.

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Metadata Data Lake Dashboards Interactive 84

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. Industry-leading price-performance: Amazon Redshift launches RA3.large

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Data Lake Data Warehouse Data-driven Optimization 98

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

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Timo Elliott

NOVEMBER 21, 2022

You lose the roots, all of the rich, business, context and metadata and security and hierarchies, and then you have to try and recreate it in the new environment. But the problem with that is that it’s like ripping a tree out of the forest and trying to get it to grow in a different environment.

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Data Analytics Analytics Recreation/Entertainment Data Lake 98

Octopai

FEBRUARY 26, 2025

This is the first event Octopai and Cloudera join forces to bring to the market the only true hybrid platform for data, analytics, and AI as well as the best-in-class data lineage and metadata management platform.

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Data Analytics Analytics Metadata Marketing 52

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. Priyanka Chaudhary is a Senior Solutions Architect and data analytics specialist. Other benefits in KCL 3.0

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Cost-Benefit Metadata Optimization Publishing 115

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.

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Unstructured Data Data Analytics Analytics Data Science 137

AWS Big Data

MAY 20, 2025

Create an Amazon Bedrock knowledge base referencing structured data in Amazon Redshift Amazon Bedrock Knowledge Bases uses Amazon Redshift as the query engine to query your data. It reads metadata from your structured data store to generate SQL queries. Choose your Redshift workgroup. Use the IAM role created earlier.

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Structured Data Data Warehouse Analytics Finance 102

DataKitchen

AUGUST 3, 2021

Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. It’s no fun working in data analytics/science when you are the bottleneck in your company’s business processes. See the pattern?

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Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

AUGUST 11, 2023

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. The IDH will be a game-changing platform that allows us to make data available to data scientists and data analysts across the company.

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Data Analytics Analytics Data-driven Business Driver 98

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

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Unstructured Data Metadata Management Analytics 133

DataKitchen

AUGUST 9, 2021

The domain also includes code that acts upon the data, including tools, pipelines, and other artifacts that drive analytics execution. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

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Testing Data Lake Metadata Publishing 246

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

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Metadata Management Data Governance Machine Learning 52

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

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AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

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Metadata Data Lake Machine Learning Big Data 58

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. S3 Metadata is designed to automatically capture metadata from objects as they are uploaded into a bucket, and to make that metadata queryable in a read-only table.

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Analytics Data Lake Metadata Data Warehouse 60

AWS Big Data

DECEMBER 4, 2024

The following are the key components and steps in the integration process: Zero-ETL extracts and loads the data into Amazon S3 , a highly scalable object storage service. The data is also registered in the Glue Data Catalog , a metadata repository. Kamen Sharlandjiev is a Sr.

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Data Integration Data Lake Statistics Data-driven 113

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

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Data Governance Metadata Cost-Benefit Digital Transformation 145

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

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Metadata Testing Data Science Risk 130

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.

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Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

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Metadata Metrics Testing Management 118

DataKitchen

JANUARY 5, 2021

Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx. Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis.

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Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

OCTOBER 15, 2024

“The data catalog is critical because it’s where business manages its metadata,” said Venkat Rajaji, Senior Vice President of Product Management at Cloudera. There’s been a ton of innovation lately around the Iceberg REST catalog because the data turf war is over. But the metadata turf war is just getting started.”

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Metadata Data Processing Uncertainty Data Warehouse 117

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. Old metadata files are kept for history by default.

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Data Lake Metadata Snapshot Analytics 126

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. She is passionate about data analytics and data science.

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Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. This benchmark uses unmodified TPC-DS data schema and table relationships. He has been focusing in the big data analytics space since 2014.

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Metadata Statistics Broadcasting Optimization 118

AWS Big Data

DECEMBER 13, 2023

The AWS Glue Studio visual editor is a low-code environment that allows you to compose data transformation workflows, seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine, and inspect the schema and data results in each step of the job.

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Metadata Data Lake Visualization Data Quality 110

CIO Business Intelligence

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

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Manufacturing Internet of Things Metadata Risk 122

AWS Big Data

NOVEMBER 15, 2023

You can use its built-in transformations, recipes, as well as integrations with the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) to preprocess the data in your landing zone, clean it up, and send it downstream for analytical processing. For Matching conditions , choose Match all conditions.

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Metadata Sales Data Lake Big Data 113

Smart Data Collective

SEPTEMBER 26, 2021

The best part about data workflow management is that you can take a task and develop a custom solution to bring clarity to the entire team on what needs to be done and, most importantly, how. It’s a good idea to record metadata. The metadata describes exactly how observations were collected, formatted, and organized.

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Metadata Visualization Unstructured Data Data mining 130