AWS Big Data

OCTOBER 30, 2024

This integration enables our customers to seamlessly explore data with AI in Tableau, build visualizations, and uncover insights hidden in their governed data, all while leveraging Amazon DataZone to catalog, discover, share, and govern data across AWS, on premises, and from third-party sources—enhancing both governance and decision-making.”

Visualization 119

Visualization Data Lake Testing Data Governance 119

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. The data you’ve collected and saved over the years isn’t free. Analyze your metadata.

IT 135

IT Metadata Data-driven Data Governance 135

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. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Companies looking to do more with data and insights need an effective EDM setup in place. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

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. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

erwin

DECEMBER 9, 2024

But how can delivering an intelligent data foundation specifically increase your successful outcomes of AI models? And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them?

Metadata 52

Metadata Data Quality Sales Modeling 52

AWS Big Data

JUNE 10, 2024

Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. The open table format accelerates companies’ adoption of a modern data strategy because it allows them to use various tools on top of a single copy of the data.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 110

Analytics Metadata Data Strategy Optimization 110

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

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 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Build your data strategy around the convergence of software and hardware. Build your data strategy around relevant data, not last years data because it’s easy to access.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Today, enterprises are migrating to the cloud at a brisk pace. Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data-driven 111

TDAN

MAY 2, 2023

Achieving Enterprise Data Awareness is a natural maturity progression within the governance domain. At this stage, companies rightly see Data Governance and Information Governance as a large metadata puzzle.

Enterprise 52

Enterprise Metadata Data Governance Data Strategy 52

Alation

FEBRUARY 20, 2020

Organizations of all sizes are making the enterprise data catalog a core component of their data organizations. Innovative organizations, like Salesforce, American Express and PepsiCo, are leveraging the Alation enterprise data catalog to move from process-centric to data-driven enterprises.

Enterprise 52

Enterprise Metadata Data-driven Sales 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. What data problem is it solving?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

DECEMBER 19, 2024

From establishing an enterprise-wide data inventory and improving data discoverability, to enabling decentralized data sharing and governance, Amazon DataZone has been a game changer for HEMA. HEMA has a bespoke enterprise architecture, built around the concept of services.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

Cloudera

AUGUST 17, 2022

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 116

Analytics Data-driven Machine Learning Data Science 116

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. All of this supports the use of AI.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

AWS Big Data

OCTOBER 30, 2024

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). If the CDC operation is INSERT or UPDATE, the job merges the data into the Iceberg table.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Again, metadata is key.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

MAY 10, 2021

Why Implement a Data Catalog? Nowadays, businesses have more data than they know what to do with. Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. How do you implement a data catalog?

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 105

Technology Data-driven Machine Learning Sales 105

CIO Business Intelligence

DECEMBER 16, 2022

The average pay premium paid for another qualification, Certified in the Governance of Enterprise IT (CGEIT) , rose 37.5%, also hitting 11% of base salary. One of the hottest IT qualifications was Okta Certified Professional, attracting an average pay premium of 11%, up 57.1% since March.

Testing 98

Testing Metadata Data Processing Machine Learning 98

AWS Big Data

JULY 28, 2023

By creating visual representations of data flows, organizations can gain a clear understanding of the lifecycle of personal data and identify potential vulnerabilities or compliance gaps. Note that putting a comprehensive data strategy in place is not in scope for this post. You can contact us with questions.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

TDAN

FEBRUARY 16, 2022

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely.

Enterprise 145

Enterprise Data Quality Metadata Data Governance 145

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

JUNE 23, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

AWS Big Data

SEPTEMBER 13, 2023

The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. We use the following terminology when discussing File Processor: Refresh cadence – This represents the data ingestion frequency (for example, 10 minutes).

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111