The Modern Data Company

APRIL 15, 2024

With this in mind, let’s explore how to demystify the process of building your data-driven strategy, making it accessible and actionable. We’ll uncover how you can transform data into a strategic asset that propels your organization forward without getting lost in the complexity of its creation. It matters a lot.

Building 52

Building Raw Data Food Data 52

Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Then you need to know more about data fabric architecture.

Data Management 52

Data Management Management Metadata Database-centric 52

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 79

Designing Data Pipeline Data Governance Government 79

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

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

Snowflake

JANUARY 15, 2024

It’s another channel for us to bring our cloud technology directly to the point where the customer needs it and give them the choice to work with the building blocks they want, all within Snowflake.” The IDMC also offers robust data governance features including predictive data intelligence, data lineage and data access management.

Data Integration 101

Data Integration BI Cloud Data 101

DataKitchen

DECEMBER 13, 2021

DataOps is NOT Just DevOps for Data. Data Governance as Code. 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps. How to Build a Successful Cloud DataOps Program. How DataOps Enables a Data Fabric. How DataOps Enables a Data Fabric. Top 5 Webinars.

Data Governance 98

Data Governance Data Architecture Government Data Engineer 98

Data Engineering Weekly

SEPTEMBER 8, 2024

The LLM pre-training and post-training paradigms are rolling out the foundational future to enable organizations to build with internal knowledge. link] Sponsored: Introduction to GenAI with Apache Airflow® Interested in building Generative AI applications but not sure where to get started?

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB Scala 100

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 Management Data Lake Data Warehouse 52

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. Not Endless DAGs!

Data Lake 100

Data Lake Data Warehouse Data Pipeline MongoDB 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. 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 Management Data Lake 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 Management Data Lake Data Warehouse 52

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. Let’s assess.

Data Engineer 84

Data Engineer Data Engineering Engineering Business Intelligence 84

Data Engineering Podcast

JULY 10, 2022

Summary Building a data platform is a journey, not a destination. Beyond the work of assembling a set of technologies and building integrations across them, there is also the work of growing and organizing a team that can support and benefit from that platform. Tired of deploying bad data? What does Riskified do?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Monte Carlo

SEPTEMBER 27, 2023

When it comes to building data and AI products you can trust, Monte Carlo, the leader of the data observability category, and Alation, the data intelligence leader, are better together. Why is my data late?” “How Can I trust the data feeding this model? What’s wrong with this metric?” “Why See you there!

Data Governance 69

Data Governance Government Data Pipeline Data 69

Monte Carlo

JUNE 27, 2024

Of course, there were plenty of flashy generative demos (like Shutterstock AI)—not to mention a couple of live snafus—but these were merely a light palette cleanser between keynotes as these events hurdled toward the real star of the shows—data enablement. Look, we’ve all been told there’s data in the LLM hills.

Data Governance 59

Data Governance Government Data Pipeline MySQL 59

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 AWS Government Data Governance 52

Monte Carlo

JULY 15, 2024

While your friendly neighborhood IT professional is busy making sure the servers don’t catch fire, the data owner is more concerned with making sure the data doesn’t metaphorically set your business strategy ablaze. Who Can Be a Data Owner?

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 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 97

Government Data Preparation AWS Data Governance 97

Snowflake

JANUARY 29, 2024

Previously, organizations lacked flexibility and choice in where their GA raw data resided, and the systems that could harness the full power of that data. Such pipelines are costly to maintain, insecure once data is moved, and prone to failures and errors. But don’t just take it from us.

Raw Data 113

Raw Data Aggregated Data Cloud Data 113

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

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. Request a demo today and see the difference for yourself. Let’s unlock the power of your data together.

Raw Data 75

Raw Data Utilities Government Data 75

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

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. A centralized platform gives healthcare organizations a comprehensive view of patient data, essential for effective predictive analytics.

Healthcare 98

Healthcare Medical Hospitality Electronics 98

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

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 28, 2020

Summary Kafka has become a de facto standard interface for building decoupled systems and working with streaming data. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. When is Red Panda the wrong choice?

Kafka 100

Kafka Big Data BI Data Engineer 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

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. Book a Demo The post What is a Customer Data Platform (CDP)?

Data Warehouse 52

Data Warehouse Data Data Storage Cloud 52

Snowflake

SEPTEMBER 21, 2023

Running an entire app within the brand’s Snowflake account For many brands, sharing access to data with third parties, even if the data resides within their data platform, presents security and data governance concerns that can take months to overcome or prevent an organization from adopting the technology.

Google Cloud 88

Google Cloud Unstructured Data Technology Data 88

Precisely

MAY 2, 2024

And yet, despite the value of customer master data, managing it effectively presents its own challenges – with factors like manual error-prone processes diminishing its accuracy and trustworthiness. Read What are the Top Challenges of Managing Customer Master Data? Simpler, faster customer master data management powered by automation.

Coding Skills 69

Coding Skills Food Data Portfolio 69

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. Automation is an absolute necessity to achieve strong data governance across decentralized domains.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Striim

SEPTEMBER 11, 2024

In this guide, we’ll dive into everything you need to know about data pipelines—whether you’re just getting started or looking to optimize your existing setup. We’ll answer the question, “What are data pipelines?” Then, we’ll dive deeper into how to build data pipelines and why it’s imperative to make your data pipelines work for you.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

AUGUST 21, 2023

Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52