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?

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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?

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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. You can have data quality, without data integrity.

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Data Integration Hospitality Banking Healthcare 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. See it in action and schedule a demo with one of our data experts today.

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. See it in action and schedule a demo with one of our data experts today.

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. See it in action and schedule a demo with one of our data experts today.

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Data Management Data Lake Management Data Governance 52

AltexSoft

OCTOBER 8, 2021

The good news is, businesses can choose the path of data integration to make the most out of the available information. The bad news is, integrating data can become a tedious task, especially when done manually. Data integration in a nutshell. Data integration process. That’s a lot of work.

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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.

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AltexSoft

SEPTEMBER 10, 2021

To get a single unified view of all information, companies opt for data integration. In this article, you will learn what data integration is in general, key approaches and strategies to integrate siloed data, tools to consider, and more. What is data integration and why is it important?

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Monte Carlo

JULY 22, 2024

Data doesn’t just flow – it floods in at breakneck speed. How do we track this tsunami of changes, ensure data integrity, and extract meaningful insights? Data versioning is the answer. Data versioning is the practice of tracking and managing changes to datasets over time.

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The Modern Data Company

JULY 24, 2023

This integration allows for a comprehensive understanding of relationships and patterns within the data, leading to more accurate and insightful analysis. Chaining data products opens a world of possibilities for organizations seeking to maximize the value of their data assets.

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Striim

AUGUST 20, 2024

Striim facilitates this transformation by enabling the implementation of a data mesh and supporting the migration to Google Cloud. The data mesh approach decentralizes data management, making it easier for various teams across an organization to perform self-service analytics and derive actionable insights.

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The Modern Data Company

APRIL 7, 2023

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

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The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

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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. With a data operating system. It’s the world’s first holistic data operating system on the market.

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The Modern Data Company

JULY 24, 2023

This integration allows for a comprehensive understanding of relationships and patterns within the data, leading to more accurate and insightful analysis. Chaining data products opens a world of possibilities for organizations seeking to maximize the value of their data assets.

Data Lake 52

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The Modern Data Company

JULY 24, 2023

This integration allows for a comprehensive understanding of relationships and patterns within the data, leading to more accurate and insightful analysis. Chaining data products opens a world of possibilities for organizations seeking to maximize the value of their data assets.

Data Lake 52

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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?

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The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

Data Governance 52

Data Governance High Quality Data Government Data 52

Striim

JULY 10, 2024

Data Collection and Integration: Data is gathered from various sources, including sensor and IoT data, transportation management systems, transactional systems, and external data sources such as economic indicators or traffic data. Take UPS, for instance.

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Ascend.io

OCTOBER 28, 2024

It is important to note that normalization often overlaps with the data cleaning process, as it helps to ensure consistency in data formats, particularly when dealing with different sources or inconsistent units. Data Validation Data validation ensures that the data meets specific criteria before processing.

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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?

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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.

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Striim

OCTOBER 11, 2024

Exactly-Once Processing (E1P) Data loss and duplication are critical issues in data pipelines that need to be addressed for reliable data processing. Modern pipelines incorporate Exactly-Once Processing (E1P) to ensure data integrity. Schedule a demo for a personalized walkthrough to experience Striim.

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Monte Carlo

FEBRUARY 20, 2024

Choosing one tool over another isn’t just about the features it offers today; it’s a bet on the future of how data will flow within organizations. Consideration What to Look For Integration Capabilities Support for a diverse array of data sources and destinations, ensuring compatibility with your data ecosystem.

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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.

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Striim

FEBRUARY 10, 2023

trillion through investment in real-time data analytics. From telecommunication to retail, businesses are harnessing the power of data analytics to optimize operations and drive growth. Striim is a data integration platform that connects data from different applications and services to deliver real-time data analytics.

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Databand.ai

AUGUST 30, 2023

Besides these categories, specialized solutions tailored specifically for particular domains or use cases also exist, such as extract, transform and load (ETL) tools for managing data pipelines, data integration tools for combining information from disparate sources or systems and more.

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Striim

SEPTEMBER 4, 2024

It provides the infrastructure to ingest, process, and manage continuous data flows in real-time. This is where Striim comes into play, offering a robust platform designed to handle the complexities of stream processing and real-time data integration. Learn more in our guide to operationalizing machine learning.

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AltexSoft

MARCH 2, 2023

Data usability ensures that data is available in a structured format that is compatible with traditional business tools and software. Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article.

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Workfall

JULY 25, 2023

In this blog, we’ll demonstrate step-by-step the process of reading and writing data in Google Sheets, empowering you to effortlessly manage your data with the power of Python. Say goodbye to time-consuming tasks and hello to streamlined data integration – let’s get started! Why Sheety?

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Striim

SEPTEMBER 11, 2024

Are we going to be using intermediate data stores to store data as it flows to the destination? Are we collecting data from the origin in predefined batches or in real time? Step 4: Design the data processing plan Once data is ingested, it must be processed and transformed for it to be valuable to downstream systems.

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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.

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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.

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Cloudera

JUNE 25, 2019

Cloudera shared a comprehensive overview and demonstration of the all-new Cloudera Data Platform (CDP). This industry-first enterprise data cloud offering will include cloud-native services for data warehousing, machine learning, streaming ingest, and operational data stores.

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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.

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