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. By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 52

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

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. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 135

IT Metadata Data-driven Data Governance 135

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

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 61

Analytics Data Lake Metadata Data Warehouse 61

erwin

DECEMBER 9, 2024

When it comes to using AI and machine learning across your organization, there are many good reasons to provide your data and analytics community with an intelligent data foundation. For instance, Large Language Models (LLMs) are known to ultimately perform better when data is structured. Lets give a for instance.

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. However, throughout history, data services have held dominion over their customers’ data.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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

Cloudera

APRIL 18, 2024

All of that technology, though, depends on data to be successful. 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.

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

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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. So, what can businesses do to maximize the value of their data, and ensure their genAI projects are delivering return on investment?

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

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. Here are a few common data management challenges: Regulatory compliance on data use. Data quality. Data silos.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Alation

MAY 3, 2022

In a couple of weeks (May 17–19) the Alation team joins one of our favorite data events of the year: Tableau Conference 2022. Yet there’s still an alarming gap between finding data… and using it. Yet there’s still an alarming gap between finding data… and using it. Mind the (Data Accessibility) Gap. The result?

Data-driven 52

Data-driven Reporting Data Governance Metadata 52

BI-Survey

MARCH 4, 2022

“We are a data-driven company,” is a familiar refrain we hear from business leaders and managers. This is evidence of a fundamental shift in mindset, reflecting the fact that leaders have now understood and internalized the concept of the data-driven enterprise.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 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

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Thousands of our customers across all industries are harnessing the power of their data in order to drive insights and innovation. Quality data needs to be the normalizing factor.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

AWS Big Data

SEPTEMBER 12, 2024

In the era of digital transformation and data-driven decision making, organizations must rapidly harness insights from their data to deliver exceptional customer experiences and gain competitive advantage. Solution overview Salesforce Data Cloud provides a point-and-click experience to share data with a customer’s AWS account.

Data Lake 115

Data Lake Analytics Data-driven Data Strategy 115

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise. However, cloud data migration can be difficult.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data-driven 111

Alation

FEBRUARY 20, 2020

Data: Fertilizer for Innovation. Data helps with both of these challenges. Data helps with both of these challenges. Data is the mechanism for resolving questions. In a data-driven organization, ideas and solutions can come from anywhere. The Role of the Chief Data Officer (CDO).

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Today, this is powering every part of the organization, from the customer-favorite online cake customization feature to democratizing data to drive business insight.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

APRIL 19, 2023

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. This is especially true in a large enterprise with thousands of data products.

Technology 105

Technology Data-driven Machine Learning Sales 105

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

AWS Big Data

JULY 14, 2023

FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services. These datasets can then be used to power front end systems, ML pipelines, and data engineering teams.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

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. Why does AI need an open data lakehouse architecture?

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

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.” Why do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64

TDAN

SEPTEMBER 14, 2021

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge.

Data-driven 123

Data-driven Data Quality Metadata Data Strategy 123

Ontotext

SEPTEMBER 15, 2020

What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

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. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

Sisense

MAY 28, 2020

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. The world of data is constantly changing and speeding up every day.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Employing Enterprise Data Management (EDM).

Enterprise 98

Enterprise Management Data Architecture Data-driven 98