The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment.

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The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment.

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Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

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Precisely

MARCH 7, 2024

However, that is rarely the case, falling far short of true data integrity that delivers accuracy, consistency, and context. As part of a holistic data integrity approach, companies implement data governance programs to build trust in the data.

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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

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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

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Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

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Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. Data integrity trends for 2023 promise to be an important year for all aspects of data management. Read The Corinium report to learn more.

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Precisely

JANUARY 9, 2023

Requirements for data to be more easily accessible, at even faster rates, will continue to grow in 2023, and organizations will need to adapt their data quality practices to keep pace with the demand for new modern use cases. The post Top Data Integrity Trends Fueling Confident Business Decisions in 2023 appeared first on Precisely.

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Precisely

OCTOBER 23, 2023

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.

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Precisely

JUNE 22, 2023

As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data. They have found ways to curate and manage data to instill confidence among decision-makers.

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Precisely

MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

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Precisely

DECEMBER 13, 2023

It’s a logistical and data management nightmare! Using data quality and address validation tools, Santa’s team can cleanse, standardize and dedupe the data to ensure it has maximum accuracy and integrity, so that every child gets a suitable gift and they are delivered to the correct house! Think about it.

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Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

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Precisely

MARCH 23, 2023

Is your company making commitments to environmental, social, and governance (ESG) efforts? How are you quantifying those results, and can you make sure you have the most accurate and current data? In summary: your ESG data needs data integrity. Let’s examine that more. Have you cut down plastics by 25%?

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Precisely

MAY 3, 2023

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

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Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Can you start by sharing some of your experiences with data migration projects? Closing Announcements Thank you for listening! Don't forget to check out our other shows.

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Precisely

JANUARY 23, 2024

Enterprise Challenges in 2024 and Beyond The big-picture process of building data that is accurate, consistent and contextual – or data integrity – calls for a systematic approach combining technology tools, internal change management, and a company-wide commitment to results.

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Databand.ai

JUNE 21, 2023

Eric Jones June 21, 2023 What Are Data Integrity Tools? Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. In this article: Why Are Data Integrity Tools Important?

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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.

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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.

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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.

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Precisely

JUNE 26, 2023

They shore up privacy and security, embrace distributed workforce management, and innovate around artificial intelligence and machine learning-based automation. The key to success within all of these initiatives is high-integrity data. Typically, businesses generate data in siloed applications.

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Data Engineering Podcast

NOVEMBER 30, 2020

Summary The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.

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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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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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Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

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Precisely

MARCH 14, 2023

Deploy, execute, and scale natively in modern cloud architectures To meet the need for data quality in the cloud head on, we’ve developed the Precisely Data Integrity Suite. The modules of the Data Integrity Suite seamlessly interoperate with one another to continuously build accuracy, consistency, and context in your data.

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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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Cloudera

MAY 28, 2024

Data architecture is what defines the structures and systems within an organization responsible for collecting, storing, and accessing data, along with the policies and processes that dictate how data is governed. When we talk about modern data architecture, there are several unique benefits to this kind of approach.

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Databand.ai

MAY 30, 2023

Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration. Maintaining high data quality is crucial for organizations to gain valuable insights, make informed decisions, and achieve their goals.

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Precisely

MAY 18, 2023

The annual Precisely Data Integrity Summit , Trust ’23, was another amazing success that virtually brought together thousands of data professionals worldwide. Here’s a recap of what Precisely customers had to say about their data integrity successes, and what they’ve discovered along the way.

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Striim

FEBRUARY 19, 2024

Central to unlocking the potential of these frameworks is Striim, a platform that facilitates real-time data integration, analytics, and event processing, providing businesses can fully leverage their data. Data Fabric, conversely, favors a low-code/no-code approach, making data integration accessible without extensive coding.

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Databand.ai

JUNE 20, 2023

Niv Sluzki June 20, 2023 What Is Data Integrity? Data integrity refers to the overall accuracy, consistency, and reliability of data stored in a database, data warehouse, or any other information storage system.

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Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

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Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

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