The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

FEBRUARY 15, 2023

Maintaining a clear strategy for gathering, storing, and labeling data is challenging. Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind.

Government 98

Government Data Governance Raw Data Data 98

The Modern Data Company

MARCH 7, 2023

Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. If you missed it, make sure to catch up on Part 1 – Data Timeliness. What Is Data Taxonomy? Data that is properly classified, catalogued, and tagged is usually well-governed data.

Data Governance 52

Data Governance Government Metadata Datasets 52

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Security 100

Data Security Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Data Engineering Podcast

FEBRUARY 24, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

IT 100

IT Data Lake Data Pipeline Media 100

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Malloy's Near Term Roadmap — I've shared recently Malloy demo , which was awesome. but I missed it).

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Precisely

JULY 15, 2024

Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. However, complex architectures and data silos make that difficult. One strategy being leveraged is a data mesh.

Data Governance 71

Data Governance Data Integration Government Data 71

Data Engineering Podcast

JULY 10, 2022

They also discuss how they have established a guild system for training and supporting data professionals in the organization. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Tired of deploying bad data? What does Riskified do?

Metadata 100

Metadata MongoDB MySQL Machine Learning 100

Data Engineering Podcast

DECEMBER 18, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. Rudderstack : ![Rudderstack]([link]

Data Lake 100

Data Lake Data Warehouse Data Pipeline MongoDB 100

Data Engineering Podcast

SEPTEMBER 28, 2020

This was a fascinating conversation with an energetic and enthusiastic engineer and founder about the challenges and opportunities in the realm of streaming data. If you hand a book to a new data engineer, what wisdom would you add to it? To learn more, and sign up for a free demo, visit dataengineeringpodcast.com/qubz.

Kafka 100

Kafka Big Data Data Engineer BI 100

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products. Read more about our partnership.

Government 98

Government Data Governance Architecture Technology 98

The Modern Data Company

JULY 18, 2023

Regular updates, feature additions, and optimizations ensure that data products remain relevant and valuable over time. Data Governance and Compliance Data products should adhere to data governance principles and comply with applicable regulations and privacy requirements.

Data Governance 69

Data Governance High Quality Data Government Data 69

The Modern Data Company

APRIL 20, 2023

It typically provides a scalable and flexible infrastructure for storing, processing, and analyzing big data and should also include features that support data management, data protection, and data governance.

Systems 95

Systems Entertainment Government Big Data 95

The Modern Data Company

FEBRUARY 2, 2024

This efficiency doesn’t just speed things up; it fundamentally changes how swiftly and effectively you can harness the power of your data assets. This approach doesn’t just solve existing problems; it paves the way for a new era of efficiency and effectiveness in data management.

Raw Data 75

Raw Data Utilities Government Data 75

The Modern Data Company

JULY 18, 2023

Regular updates, feature additions, and optimizations ensure that data products remain relevant and valuable over time. Data Governance and Compliance Data products should adhere to data governance principles and comply with applicable regulations and privacy requirements.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

Regular updates, feature additions, and optimizations ensure that data products remain relevant and valuable over time. Data Governance and Compliance Data products should adhere to data governance principles and comply with applicable regulations and privacy requirements.

Data Governance 52

Data Governance High Quality Data Government Data 52

Precisely

MAY 3, 2023

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. And, we’ll share how our latest innovations help you unlock success along the way.

Data Integration 52

Data Integration Government AWS Data Governance 52

Monte Carlo

JULY 15, 2024

Key Responsibilities of Data Owners The primary responsibility of a data owner is ensuring the quality, accuracy, and integrity of their assigned data assets. Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth.

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

Monte Carlo

JULY 22, 2024

Data versioning is the practice of tracking and managing changes to datasets over time. While it shares similarities with software versioning, data versioning has unique characteristics specific to your data management needs. To truly master your data management, you need data observability.

Metadata 52

Metadata Datasets ETL Tools Data 52

Monte Carlo

MARCH 18, 2025

At its core, data sustainability is about making sure your data works for you, not against you. Key Principles of Data Sustainability Sustainable data management isnt about hoarding every piece of information “just in case.” ” Its about keeping your data useful , organized , and efficient.

Data Pipeline 52

Data Pipeline Data Data Governance Government 52

Precisely

MAY 2, 2024

When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers. That’s what makes slow, manual customer data management so damaging. The solution?

Coding Skills 68

Coding Skills Food Data Process 68

Precisely

MAY 31, 2023

Users cannot find the data they need, gain access in a timely fashion, rely on data being in a useable format, or understand its impact on the business – meaning that it is unusable to them. The end result is that users can’t trust their data because it lacks integrity. In many cases, that means real-time availability.

Data Integration 52

Data Integration Metadata Data Governance Data 52

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products.

Government 52

Government Data Governance Architecture Technology 52

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products.

Government 52

Government Data Governance Architecture Technology 52

Data Engineering Weekly

JULY 23, 2023

link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale. The author unpacks the federated design for data management in a phase-by-phase manner by adding more components as expanding.

Data Engineer 52

Data Engineer Data Engineering Engineering Deep Learning 52

Monte Carlo

MAY 20, 2024

On the other hand, a data catalog aims to provide a macro view of an organization’s data landscape. It emphasizes discoverability, accessibility, and governance of data assets, promoting an integrated approach to data management across multiple platforms and stakeholders.

Datasets 52

Datasets Data Government Business Analyst 52

The Modern Data Company

MARCH 1, 2024

Data Products work similarly, offering pre-packaged, actionable data units tailored to specific business goals. We will delve into the world of Data Products, exploring their transformative potential for CDOs and data teams. Beyond the Analogy: A Closer Look at Data Products Think of a Data Product as a Lego brick.

Data Lake 40

Data Lake Database-centric Government Retail 40

Monte Carlo

MAY 25, 2023

“With 1,600 employees serving over 1,000 clients with actionable, data-driven insights, we churn through massive volumes of data on a daily basis,” said Kenza Zanzouri, Data Governance Strategist at Contentsquare. Automation is an absolute necessity to achieve strong data governance across decentralized domains.

Metadata 52

Metadata Data Governance Government Business Intelligence 52