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?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

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?

Data Management 52

Data Management Data Lake Management Data Warehouse 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.

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.

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.

Data Management 52

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.

Data Integration 52

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The Modern Data Company

FEBRUARY 2, 2024

In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead. Any delay in accessing or utilizing this crucial information represents not just lost time but forfeited opportunities and stunted innovation. Request a demo today and see the difference for yourself.

Raw Data 75

Raw Data Utilities Government Data 75

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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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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Management Government Data Data Management 98

The Modern Data Company

JULY 18, 2023

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. 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

The Modern Data Company

APRIL 20, 2023

On the surface, it’s an operating system designed specifically for managing and processing large amounts of data. 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.

Systems 95

Systems Entertainment Government Big Data 95

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

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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. 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

The Modern Data Company

JULY 18, 2023

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. 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

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. 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

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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Coding Skills Food Data Portfolio 67

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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Process Finance Government Coding 40

Monte Carlo

MAY 31, 2023

In a data-driven world, data integrity is the law of the land. And if data integrity is the law, then a data quality integrity framework is the FBI, the FDA, and the IRS all rolled into one. Because if we can’t trust our data, we also can’t trust the products they’re creating.

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Building Data Validation Healthcare Data Integration 52

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

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

The Modern Data Company

MARCH 1, 2024

Data Products work similarly, offering pre-packaged, actionable data units tailored to specific business goals. We will delve into the world of Data Products, exploring their transformative potential for CDOs and data teams. Data Products simplify access and processing, empowering faster decision-making.

Database-centric 40

Database-centric Data Lake Government Retail 40

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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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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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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AltexSoft

MARCH 2, 2023

Data availability is responsible for making data accessible to appropriate personnel within the system. Data usability ensures that data is available in a structured format that is compatible with traditional business tools and software. Learn more about data integrity in our dedicated article.

Data Governance 52

Data Governance Government Healthcare Programming 52

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.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 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?

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Datasets Data Pipeline Metadata Database 52

Cloudera

AUGUST 31, 2021

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. Complex security views configuration supporting regulatory and internal access controls. Demo Video.

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Data Warehouse Database-centric Metadata Cloud 82

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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Scala Data Lake BI Google Cloud 64

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox. Here are four data lineage use cases for data access and enablement.

Data Warehouse 52

Data Warehouse BI Data Government 52

Monte Carlo

FEBRUARY 6, 2023

Facilitating self-service data? Integrating new tooling? Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

ProjectPro

MAY 20, 2015

CRN editorial team, has appreciated this challenge taken up by various big data companies and identified the best big data and business analytics companies that are innovating out-of-the-box data management, business analytics and infrastructure services and technologies in the big data market.

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