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

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 69

Data Governance High Quality Data Government Data 69

Data Engineering Podcast

DECEMBER 21, 2020

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. What is data governance? BigQuery, Snowflake, RedShift, etc.)?

Data Governance 130

Data Governance Government Data Lake Banking 130

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 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

Precisely

JULY 20, 2023

That’s where Precisely Automate comes in – a no-code, low-code solution that helps you accelerate your business processes and improve your data. Today we’re going to focus on Automate Studio and share video demos that show you the benefits of automation in action through common use cases. Let’s dive in. Ready to see how it’s all done?

Process 40

Process Finance Government Coding 40

The Modern Data Company

APRIL 15, 2024

It offers high-quality, well-managed data streams from every corner of your company, offering clear insights to your tech teams and, critically, your business leaders—your CMOs, CFOs, and CSOs. A Closer Look The biggest draw of data products for business stakeholders is that they enable Transparent Metric Trees.

Raw Data 52

Raw Data Government Data Datasets 52

The Modern Data Company

JANUARY 31, 2023

We also had the opportunity to talk about DataOS and the new paradigm it presents to the world of data. Our founders — and, as a result, the entire company — think about data differently than everyone else. This post highlights exactly how our founders taught us to think differently about data and why it matters.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Public, private, hybrid or on-premise data management platform. Be The Change. Lunch and refreshments will be provided.

Healthcare 101

Healthcare Unstructured Data Government Machine Learning 101

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

Data Engineering Podcast

AUGUST 10, 2020

If you are struggling with inconsistent implementations of event data collection, lack of clarity on what attributes are needed, and how it is being used then this is definitely a conversation worth following. If you hand a book to a new data engineer, what wisdom would you add to it? Closing Announcements Thank you for listening!

Data Collection 100

Data Collection Data Engineering Data Engineer Education 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

Data Engineering Podcast

AUGUST 24, 2020

In this episode Mars Lan and Pardhu Gunnam explain how they designed the platform, how it integrates into their data platforms, and how it is being used to power data discovery and analytics at LinkedIn. If you hand a book to a new data engineer, what wisdom would you add to it? Closing Announcements Thank you for listening!

Metadata 100

Metadata Management Kafka Data Engineering 100

Data Engineering Podcast

JULY 27, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Systems 100

Systems Building Scala Java 100

Data Engineering Podcast

SEPTEMBER 9, 2018

They also explain some of the types of data that you can use with Chaos Search, how to load it into S3, and when you might want to choose it over Amazon Athena for our serverless data analysis. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

IT 100

IT PostgreSQL Scala AWS 100

Data Engineering Podcast

SEPTEMBER 28, 2020

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. This was a fascinating conversation with an energetic and enthusiastic engineer and founder about the challenges and opportunities in the realm of streaming data.

Kafka 100

Kafka BI Big Data Data Engineering 100

Knowledge Hut

JANUARY 23, 2024

Installing and using MongoDB has become essential for web developers due to its growing popularity and the seamless manner in which it allows efficient data management. Step 8: In the "Ready to install MongoDB" page, click the "Install" button, give administrator access, and wait for the installation to finish.

MongoDB 52

MongoDB Database NoSQL Architecture 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

The Modern Data Company

DECEMBER 29, 2022

And much of this involves finally harnessing data and new technologies to the fullest potential. Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. A robust understanding of potential new customers.

Banking 52

Banking Pipeline-centric Building Finance 52

Data Engineering Podcast

OCTOBER 9, 2018

This was a deep dive on how to build a successful company around a powerful platform, and how that platform simplifies operations for enterprise grade data management. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

PostgreSQL 100

PostgreSQL BI Data Warehouse Machine Learning 100

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

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

Data Engineering Podcast

JULY 1, 2019

It was an interesting conversation about how he stress tested the Instaclustr managed service for benchmarking an application that has real-world utility. By integrating each silo independently – data is able to integrate without any direct relation. At CluedIn they call it “eventual connectivity”.

Kafka 100

Kafka Finance Media Architecture 100

Workfall

JULY 25, 2023

Hands-On Required installations: To perform the same demo, you require the following installations: Python: A versatile and user-friendly high-level programming language known for its simplicity and readability. Create headers for the student’s data and make them bold for a better view. Give your spreadsheet any name you like.

Python 76

Python Programming Language Coding Accessible 76

The Modern Data Company

JULY 31, 2023

“Accelerate insights to drive your business by delivering transparent, trustworthy and accessible data efficiently and well.” Read more about our partnership.

Government 98

Government Data Governance Architecture Data Pipeline 98

Data Engineering Podcast

JULY 14, 2019

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.

Machine Learning 100

Machine Learning Media Cloud Data 100

Precisely

MAY 31, 2023

With the right enterprise-grade technology, organizations can find simple solutions to complex data integrity challenges at scale. The act of bringing data into hybrid cloud and VPC environments doesn’t solve data integrity challenges by itself. 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

Databand.ai

AUGUST 30, 2023

Accelerated decision-making In today’s fast-paced business environment, where decisions need to be made quickly based on accurate information, having access to reliable and trustworthy data becomes crucial. If you’re ready to take a deeper look, book a demo today.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 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. S3 has seamless integration with the AWS ecosystem including AWS Glue for data cataloging, Amazon Athena for ad-hoc querying, and Amazon Redshift for data warehousing.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Ascend.io

MAY 23, 2023

Orphaned datasets occur due to several reasons, such as changes in data relationships, ad-hoc archiving of deleted records, restarts from system failures and errors, or design flaws in data management strategies. To see these capabilities in action, check out this brief demo. How can you up your game?

Datasets 52

Datasets Data Pipeline Metadata Database 52

Knowledge Hut

DECEMBER 28, 2023

If you're in the world of database management, you're likely already familiar with SQL - the powerful programming language that's used to manage and manipulate data. As data volumes increase, the demand for data professionals rises. Some SQL tool providers also offer limited demo versions.

SQL 52

SQL MySQL PostgreSQL Database 52

The Modern Data Company

JULY 31, 2023

“Accelerate insights to drive your business by delivering transparent, trustworthy and accessible data efficiently and well.” Read more about our partnership.

Government 52

Government Data Governance Architecture Data Pipeline 52

The Modern Data Company

JULY 31, 2023

“Accelerate insights to drive your business by delivering transparent, trustworthy and accessible data efficiently and well.” Read more about our partnership.

Government 52

Government Data Governance Architecture Data Pipeline 52

Striim

FEBRUARY 10, 2023

Use cases Ciena’s data team wanted to build a modern, self-serve data and analytics ecosystem that: Improves the customer experience by enabling real-time insights and intelligent automation to network changes as they occur. Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused. Stay tuned.

Data Science 49

Data Science Transportation Machine Learning Algorithm 49

Striim

NOVEMBER 18, 2022

Manages Disease Spread Real-time analytics can help you identify trends in the spread of an illness, allowing healthcare institutions, doctors, and individuals to manage better. Similarly, these insights also helped to distribute PPE to the locations where it was needed most, especially when a shortage made it harder to access.

Healthcare 52

Healthcare Hospitality Medical Electronics 52