AWS Big Data

NOVEMBER 19, 2024

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. The following diagram depicts the solution architecture.

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CIO Business Intelligence

NOVEMBER 27, 2024

By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation. Ensuring these elements are at the forefront of your data strategy is essential to harnessing AI’s power responsibly and sustainably.

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Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

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Metadata Management Data Governance Machine Learning 105

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

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CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. 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. Publish metadata, documentation and use guidelines.

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AWS Big Data

JULY 29, 2024

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

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Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

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erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

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CIO Business Intelligence

JANUARY 9, 2025

Today, such an ML model can be easily replaced by an LLM that uses its world knowledge in conjunction with a good prompt for document categorization. Content management systems: Content editors can search for assets or content using descriptive language without relying on extensive tagging or metadata.

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erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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Metadata Data Governance Digital Transformation Data Quality 84

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Digital Transformation Strategy: Smarter Data.

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Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. So, let’s have a close look at some of the best strategies to work with large data sets. A NoSQl database can use documents for the storage and retrieval of data.

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erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog.

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erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. 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.

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CIO Business Intelligence

DECEMBER 18, 2024

This ability builds on the deep metadata context that Salesforce has across a variety of tasks. Expanding further, Moor Strategy and Insights principal analyst Jason Andersen pointed out that this ability might not be enough to get an enterprise to switch to Agentforce from another platform. Agentforce 2.0

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Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc.

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O'Reilly on Data

MARCH 20, 2019

They could also share their strategy with others, potentially leading to large losses for your company. These accurate and interpretable models are easier to document and debug than classic machine learning blackboxes. Model documentation has been traditionally applied to highly transparent linear models.

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erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

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AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable. Text, images, audio, and videos are common examples of unstructured data.

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CIO Business Intelligence

MARCH 24, 2023

Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. They must be accompanied by documentation to support compliance-based and operational auditing requirements.

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erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

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Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

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erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. NoSQL supports JavaScript Object Notation (JSON), log messages, XML and unstructured documents.

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AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. The document processing layer supports document ingestion and orchestration. Overview of solution The solution was designed in layers.

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Alation

MAY 10, 2021

In other words, they have a system in place for a data-driven strategy. The catalog gathers metadata, (or data about data), to add context to every asset. In phase one, an enterprise must create a data strategy , which will inform later plans. With a strategy in place, the next two phases are preparation and implementation.

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CIO Business Intelligence

NOVEMBER 27, 2024

New sensors are likely to be more precise and more accurate, customer support requests will be about newer versions of your products, or you’ll get more metadata about new prospects from their online footprint. Not cleaning your data enough causes obvious problems, but context is key.

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erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

JANUARY 14, 2021

These roles range from technical to business, from operations to strategy, and from the back office to the front office. Technical metadata is what makes up database schema and table definitions. However, just having metadata isn’t the same as managing and leveraging it as intelligence.

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AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. In the event of an infrastructure failure, an OpenSearch domain can end up losing one or more nodes.

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AWS Big Data

OCTOBER 30, 2024

For this use case, create a data source and import the technical metadata of four data assets— customers , order_items , orders , products , reviews , and shipments —from AWS Glue Data Catalog. Get started with our technical documentation. Fabricio Hamada is a Senior Data Strategy Solutions Architect at AWS.

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erwin

JANUARY 3, 2020

Constructing a Digital Transformation Strategy. Data finds a soul: Highly regulated industries will begin to change their philosophies, embracing data ethics as part of their overall business strategy and not just a matter of regulatory compliance. To that end, data is finally no longer just an IT issue.

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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. Your metadata gives users context.

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erwin

FEBRUARY 6, 2020

Here are our eight recommendations for how to transition from manual to automated data management: 1) Put Data Quality First: Automating and matching business terms with data assets and documenting lineage down to the column level are critical to good decision making.

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Management Data Governance Cost-Benefit Metadata 144

CIO Business Intelligence

SEPTEMBER 12, 2024

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses. This needs to work across both structured and unstructured data, including data held in physical documents.

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AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. This reduces the need for time-consuming manual documentation, making data more easily discoverable and comprehensible.

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AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 124

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CIO Business Intelligence

JUNE 12, 2024

“This does work and is in use today by a growing number of companies,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PwC. Most enterprise data is unstructured and semi-structured documents and code, as well as images and video.

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