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

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

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 Data Pipeline 98

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 Data Pipeline 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

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Lake 52

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

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 BI Big Data Data Engineering 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.

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.

Government 52

Government Data Governance Architecture Data Pipeline 52

The Modern Data Company

APRIL 15, 2024

Adopting a product mindset towards data urges us to rethink how we harness its potential, turning raw data into a delicacy that feeds business growth and customer delight. Schedule a demo PDF VERSION The post Building Your Data Product Machine: Less Tech, More Strategy appeared first on TheModernDataCompany.

Building 52

Building Raw Data Food Data 52

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

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. Impact Now that you understand the purpose of data integrity and data quality, what is their impact on data management and decision-making?

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

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

The Modern Data Company

APRIL 15, 2024

In essence, the power behind your decision tree is the strategic integration of Data Products. It’s about harnessing the potential of data to fuel every decision, ensuring that your business not only survives but thrives in a world of disruption.

Raw Data 52

Raw Data Government Data Datasets 52

Databand.ai

AUGUST 30, 2023

It provides capabilities for data profiling, data cleansing, data validation and data transformation, as well as data integration, data migration and data governance. If you’re ready to take a deeper look, book a demo today.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

The Modern Data Company

FEBRUARY 26, 2024

With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Mixing metaphors aside, this startup knows that to sustain growth and outmaneuver competitors, it needs to evolve its approach to data management.

Architecture 52

Architecture Data Architecture Data Technology 52

Monte Carlo

MARCH 9, 2021

The advisory board will serve as a trusted partner to Monte Carlo’s customers across FinTech, e-commerce, media, digital marketplace, B2B software, and retail industries, including several Fortune 500 companies and data teams at Compass , Eventbrite , and Hippo Insurance , among others. Request a demo ! Talk to us!

Insurance 40

Insurance Data Governance Retail Government 40

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 54

Manufacturing Data Ingestion Architecture Data Governance 54

Monte Carlo

APRIL 24, 2023

If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks. AWS is one of the most popular data lake vendors. The added structure and governance from Dataplex makes BigLake an intriguing data lakehouse option as well.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

phData: Data Engineering

DECEMBER 16, 2021

This can help a user avoid wasting their time with bad data or even making sure they are working with correct data according to company policies — all in real-time. Informatica Informatica offers a wide range of tools for your data needs. If you need additional information or help, our data experts are happy to lend a hand!

Metadata 52

Metadata Datasets ETL Tools Cloud 52

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

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 Data Lake Management 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 Data Lake Management 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 Data Lake Management Data Governance 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 69

Coding Skills Food Data Portfolio 69

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

Snowflake

JANUARY 15, 2024

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Enterprise Data Integrator is fueled by Informatica Superpipe for Snowflake, which enables up to 3.5x

Data Integration 98

Data Integration BI Cloud Data 98

Monte Carlo

FEBRUARY 6, 2023

Data Warehouse Security Best Practices Data governance is critical to the protection of both internal and customer data. Before you begin any data warehouse migration, take the time to thoroughly review your data security protocols. Send us a note or check out our demo below!

Data Warehouse 52

Data Warehouse AWS Data Validation Data 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. Rudderstack : ![Rudderstack]([link]

Data Lake 100

Data Lake Data Warehouse Data Pipeline MongoDB 100

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

The Modern Data Company

JANUARY 17, 2023

In addition, a CDP owned and controlled by the marketing department may not get the full attention of already overwhelmed IT engineers, becoming an afterthought regarding data governance. As a result, CDPs may be less secure than other data stores even though they hold a lot of customer PII.

Metadata 59

Metadata Government Data Lake Data 59

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. Here, we’ll be comparing such vendors as.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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 Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52