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

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. That’s where our Precisely data integrity solutions come in.

Kafka 52

Kafka Data Integration Data Pipeline Datasets 52

Snowflake

MAY 1, 2024

“With our technology, clients can execute fast and effective geospatial queries, integrate seamlessly with Snowpark Container Services and significantly improve data visualization,” says Brent Lane, Co-Founder and CEO of BigGeo. Her passion for AI and its role in enhancing data services also aligns with what we do at BigGeo.”

Media 104

Media Building Data Warehouse Technology 104

The Modern Data Company

JANUARY 31, 2023

This post highlights exactly how our founders taught us to think differently about data and why it matters. Here are the cornerstones of this new paradigm: Data ownership is a construct Data pipelines should be accessible to everyone Data products should adapt to the organization, not vice versa.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

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

Precisely

JULY 20, 2023

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. Automation speeds up and streamlines your everyday processes, providing your business with agility, resiliency, and better data quality and integrity. Let’s dive in.

Process 40

Process Finance Government Coding 40

Snowflake

MARCH 28, 2024

Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms , a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West. What is a data clean room? Why Snowflake Data Clean Rooms?

Media 84

Media Retail Pharmaceutical Hospitality 84

Striim

FEBRUARY 26, 2024

Organizing, storing, and accessing data is important for AI. Incorporating AI into data modeling relies on fundamental techniques and principles that enhance the synergy between data and AI models. Say goodbye to slow and clunky data modeling, and hello to a sleek, efficient, and scalable AI-driven solution.

Data Cleanse 52

Data Cleanse Business Intelligence Data Data Integration 52

Workfall

SEPTEMBER 18, 2023

Reading Time: 9 minutes Imagine your data as pieces of a complex puzzle scattered across different platforms and formats. This is where the power of data integration comes into play. Meet Airbyte, the data magician that turns integration complexities into child’s play.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

The Modern Data Company

MAY 10, 2023

Needs a scalable and cost-effective solution for large-scale data storage that maintains high-performance analytics capabilities. Avoid data lakehouses if your organization: Has limited resources or lacks the expertise to manage complex data integrations and governance. only structured data).

Data Management 52

Data Management Data Lake Management Data Warehouse 52

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.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

The Modern Data Company

MAY 10, 2023

Needs a scalable and cost-effective solution for large-scale data storage that maintains high-performance analytics capabilities. Avoid data lakehouses if your organization: Has limited resources or lacks the expertise to manage complex data integrations and governance. only structured data).

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Needs a scalable and cost-effective solution for large-scale data storage that maintains high-performance analytics capabilities. Avoid data lakehouses if your organization: Has limited resources or lacks the expertise to manage complex data integrations and governance. only structured data).

Data Management 52

Data Management Management Data Lake Data Warehouse 52

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

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

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

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? Create a new file (.env

Python 76

Python Programming Language Coding Accessible 76

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. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.

Data Integration 98

Data Integration BI Cloud Data 98

Ascend.io

MAY 23, 2023

Even the data stewards who have taken on responsibility for the accuracy and business relevance of the data are often unaware of the nuances of orphaned datasets. They are blindsided when they read from a table they’ve been granted access to, only to find out it had been abandoned by the data engineers weeks ago.

Datasets 52

Datasets Data Pipeline Metadata Database 52

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.

Data Integration 52

Data Integration Government AWS Data Governance 52

dbt Developer Hub

FEBRUARY 7, 2022

It includes a set of demo CSV files, which you can use as dbt seeds to test Donny's project for yourself. If not, I’d recommend taking a second to look at Claire Carroll’s README for the original Jaffle Shop demo project (otherwise this playbook is probably going to be a little weird, but still useful, to read).

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Monte Carlo

JULY 10, 2023

Accuracy reflects the degree to which the data correctly describes the “real-world” objects being described. For example, let’s say a streaming provider has 10 million overall subscribers who can access its content. According to the CRM’s data set, the streaming provider has 13 million subscribers.

Data Collection 40

Data Collection Data Governance Government Data 40

Confluent

FEBRUARY 6, 2019

The data scientist “just” deploys its trained model, and production engineers can access it. While all these solutions help data scientists, data engineers and production engineers to work better together, there are underlying challenges within the hidden debts: Data collection (i.e.,

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

AUGUST 31, 2021

Complex security views configuration supporting regulatory and internal access controls. Leveraged delivery accelerators as well as a Data Quality framework customized by the client. To learn more about CDP & the Smart Data Transition Toolkit: . Demo Video. Aniruddha Ray, Data Capability and Innovation Lead, ATCI.

Data Warehouse 81

Data Warehouse Database-centric Metadata Cloud 81

AltexSoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Data integration in a nutshell. Data integration process.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Grouparoo

AUGUST 24, 2021

The State of Customer Data The Modern Data Stack is all about making powerful marketing and sales decisions and performing impactful business analytics from a single source of truth. Customer Data Integration makes this possible. Building a custom pipeline with a data engineering team can be an exhausting effort.

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 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

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?

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

Precisely

MARCH 10, 2023

Watch our Webinar Unlocking the Power of Location data with Snowflake and Precisely To learn more watch our webinar and see a demo in action. Watch Generating intelligent business insights from your data comes with some challenges. As you rely more on data, data integrity becomes a bigger issue.

Datasets 59

Datasets Data Warehouse Big Data Cloud Storage 59

Snowflake

JANUARY 29, 2024

Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. Your data will now automatically refresh within your Snowflake account based on your preferred frequency.

Raw Data 111

Raw Data Aggregated Data Data Cloud 111

The Modern Data Company

APRIL 7, 2023

Further, the downstream impacts of data debt can be more significant than technical debt related to a single critical corporate application. In contrast, data is often accessed and utilized by a wide range of applications that a broader swath of the company relies on. When data debt is high, the impacts spread company-wide.

Management 98

Management Government Data Data Management 98

Precisely

MAY 2, 2024

In the digital era, your data is a crucial key to operational success – and the strategic importance of SAP customer master data can’t be overstated. That’s what makes slow, manual customer data management so damaging. Interested in a full demo? Seamless, efficient, and effective customer master data management awaits.

Coding Skills 69

Coding Skills Food Data Portfolio 69

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. Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

ProjectPro

MAY 20, 2015

Professionals aspiring to earn high-paid big data jobs must have a look at these top 6 big data companies to work for in 2015: 1) InsightSquared, Cambridge, MA InsightSquared a big data analytics company experiencing triple digit annual growth in revenues, employees and customers.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

The Modern Data Company

APRIL 12, 2023

Silos can limit data visibility across an organization, preventing healthcare providers from having a complete and up-to-date view of a patient’s health history. They can make accessing data from multiple sources difficult, resulting in duplication of effort and reduced efficiency.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

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

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Data Lake Management Data Governance 52