Monte Carlo

MAY 31, 2023

A variety of factors can threaten the integrity of your data, from human error and ineffective training to a lack of security and liberal data access. A data integrity framework is a system of processes and technologies that work together to improve data quality, security, and compliance at scale.

Building 52

Building Data Validation Healthcare Data Integration 52

The Modern Data Company

JANUARY 22, 2024

This strategic vision has not only broken down data silos but has enabled clients to build a quality and sustainable data initiative that reaches every single department. Key Takeaways: DataOS Data Products excel in addressing Gartner’s standard capabilities, introducing augmented functionalities.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Designing 78

Designing Data Pipeline Data Governance Government 78

The Modern Data Company

FEBRUARY 15, 2023

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. For example, imagine a company invests heavily in building an experienced data science team.

Government 98

Government Data Governance Raw Data Data 98

Snowflake

JANUARY 29, 2024

Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. Your data will now automatically refresh within your Snowflake account based on your preferred frequency.

Raw Data 111

Raw Data Aggregated Data Data Cloud 111

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. Leverage data to improve customer service Customer service is a critical factor in building customer loyalty.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. Leverage data to improve customer service Customer service is a critical factor in building customer loyalty.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. Leverage data to improve customer service Customer service is a critical factor in building customer loyalty.

Retail 52

Retail Government Data Governance Unstructured Data 52

Snowflake

MARCH 5, 2024

For example: Custom text summaries in JSON format Turning email domains into rich data sets Building data quality agents using LLMs All of these and more can quickly be accomplished with the power of industry-leading foundation models from Mistral AI ( Mistral Large , Mistral 8x7B , Mistral 7B ), Google (Gemma-7b) and Meta (Llama2 70B).

Government 95

Government AWS Data Preparation Data Governance 95

Monte Carlo

JUNE 6, 2023

But is there more to generative AI than a fancy demo on Twitter? And how will it impact data? How generative AI will disrupt data With the advent of OpenAI’s DALL-E and ChatGPT, large language models became much more useful to the vast majority of humans. It’s inevitable that generative AI will disrupt data, too.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

The Modern Data Company

MARCH 1, 2024

Each Data Product is designed for a specific purpose, equipped with the necessary data, transformations, and metadata. Data Products simplify access and processing, empowering faster decision-making. Beyond the Analogy: A Closer Look at Data Products Think of a Data Product as a Lego brick.

Database-centric 40

Database-centric Data Lake Government Retail 40

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. How DataOS is Approaching Data Products DataOS, an integrated platform, streamlines and expedites data development cycles.

Government 98

Government Data Governance Architecture Data Pipeline 98

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem? Does not have the resources to implement robust data governance and management.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

Raw Data 75

Raw Data Utilities Government Data 75

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem? Does not have the resources to implement robust data governance and management.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem? Does not have the resources to implement robust data governance and management.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

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. A New Era of Self-Service Data democratization is critical to business operations.

Systems 95

Systems Entertainment Government Big Data 95

Snowflake

SEPTEMBER 21, 2023

Leaders across the Modern Marketing Data Stack are responding to these challenges and differentiating their products by giving brands more access to and control of data. Storing and processing data in the brand’s Snowflake account For some marketing organizations, access to live, ready-to-query data isn’t enough.

Google Cloud 86

Google Cloud Unstructured Data Technology Data 86

Precisely

MAY 31, 2023

According to research performed at Drexel University’s LeBow College of Business, 76% of data practitioners are trying to improve their data-driven decision-making, and more than half don’t feel that they can fully trust their data. The end result is that users can’t trust their data because it lacks integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

The Modern Data Company

APRIL 12, 2023

Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. Silos can limit data visibility across an organization, preventing healthcare providers from having a complete and up-to-date view of a patient’s health history.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Snowflake

JANUARY 23, 2024

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

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

Precisely

MAY 2, 2024

In the digital era, your data is a crucial key to operational success – and the strategic importance of SAP customer master data can’t be overstated. That’s what makes slow, manual customer data management so damaging. Read What are the Top Challenges of Managing Customer Master Data?

Coding Skills 67

Coding Skills Food Data Portfolio 67

phData: Data Engineering

MARCH 11, 2024

A CDP has historically been an all-in-one platform designed to help companies collect, store, and unify customer data within a hosted database so that marketing and business teams can easily build audiences and activate data to downstream operational tools. However, almost all CDPs aim to perform the same four functions: 1.

Data Warehouse 52

Data Warehouse Data Data Storage Cloud 52

Snowflake

AUGUST 21, 2023

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Data Engineering Podcast

FEBRUARY 24, 2020

Summary Misaligned priorities across business units can lead to tensions that drive members of the organization to build data and analytics projects without the guidance or support of engineering or IT staff. Set up a demo and mention you’re a listener for a special offer! Can you start by sharing your definition of shadow IT?

IT 100

IT Data Lake Data Pipeline Media 100

Monte Carlo

MAY 25, 2023

Data consumers can easily access up-to-date information about the quality of data assets before they use them, streamlining collaboration across the organization while building trust in data. The pipeline might succeed, but we wouldn’t know if the data was right, wrong, or indifferent.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Data Engineering Podcast

SEPTEMBER 28, 2020

Summary Kafka has become a de facto standard interface for building decoupled systems and working with streaming data. To make the benefits of the Kafka ecosystem more accessible and reduce the operational burden, Alexander Gallego and his team at Vectorized created the Red Panda engine. When is Red Panda the wrong choice?

Kafka 100

Kafka BI Big Data Data Engineering 100

Data Engineering Weekly

JULY 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Now every team can build a customer360 in Snowflake with RudderStack Profiles.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 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. How DataOS is Approaching Data Products DataOS, an integrated platform, streamlines and expedites data development cycles.

Government 52

Government Data Governance Architecture Data Pipeline 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. How DataOS is Approaching Data Products DataOS, an integrated platform, streamlines and expedites data development cycles.

Government 52

Government Data Governance Architecture Data Pipeline 52

Data Engineering Podcast

SEPTEMBER 23, 2018

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. 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

The Modern Data Company

JANUARY 17, 2023

Companies Can Finally End Marketing Silos CDPs tend to be siloed in marketing departments — data comes through marketing channels, and there is very little connection with the company’s larger data ecosystem. CDP data remains cut off from data in other departments that could enrich the customer picture.

Metadata 59

Metadata Government Data Lake Data 59

Ascend.io

JULY 17, 2023

Rather, the goal is to move ownership and responsibility of the data closer to the subject matter experts who understand it, while maintaining a unified data catalog of data products that can be referenced by any other builders in the organization. The end result?

Datasets 52

Datasets Telecommunication Architecture Government 52

Monte Carlo

APRIL 29, 2021

“As a data leader, there’s nothing worse than not being able to trust your data,” said Shea Spaulding, Head of Data Governance at The Zebra. The combination of Snowflake’s Data Cloud and Monte Carlo’s Data Observability platform helps ensure that our data is accessible and fresh at each stage of the data life cycle.

Insurance 52

Insurance Business Intelligence Data Pipeline Data Governance 52

Monte Carlo

APRIL 24, 2023

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

AltexSoft

MARCH 30, 2023

Besides that, it’s fully compatible with various data ingestion and ETL tools. Unity catalog serves as a centralized metadata management and data governance layer for all Databricks data assets, including tables, files, dashboards, and machine learning models.

Scala 64

Scala Data Lake BI Google Cloud 64