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

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 69

Data Governance High Quality Data Government Data 69

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

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. By implementing data versioning, you can create a systematic approach to managing the evolution of your data.

Metadata 52

Metadata Datasets ETL Tools Data 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. In the meantime, start exploring the only comprehensive data operating system on the market.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. In the meantime, start exploring the only comprehensive data operating system on the market.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. In the meantime, start exploring the only comprehensive data operating system on the market.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Precisely

MAY 9, 2023

But to achieve true transformation, your processes and strategic decisions need to be powered by trusted data. In a recent piece for Solutions Review , I highlighted three industry trends in particular that show just how important data integrity is to success, and I’ll recap those here today. Learn more 1. Environmental, 2.

Data Integration 52

Data Integration Government Data Data Governance 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

FEBRUARY 2, 2024

It serves as the cornerstone for generating transformative data products at unparalleled speed and cost-efficiency. Industry analysts recognize this too – our platform’s prowess is evidenced by the Honorable Mention we received in Gartner’s Magic Quadrant for Data Integration Platforms.

Raw Data 75

Raw Data Utilities Government Data 75

The Modern Data Company

APRIL 12, 2023

DataOS is an out-of-the-box operating system that integrates critical healthcare tools and data sources into a single platform to make predictive analytics possible. A centralized platform gives healthcare organizations a comprehensive view of patient data, essential for effective predictive analytics.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

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

Snowflake

JANUARY 29, 2024

When dealing with aggregate data, the connector uses Google Analytics 4 API to retrieve the data. In the case of raw data, it replicates it directly from the BigQuery storage layer. There is no other infrastructure used in between, which greatly simplifies data governance, and allows for optimal security and minimal latency.

Raw Data 115

Raw Data Aggregated Data Cloud Data 115

Monte Carlo

JUNE 20, 2024

Data quality can be measured in six dimensions: Data accuracy : Does the data represent agreed-upon sources or events? Data completeness: What is the percentage of data populated vs. the potential for complete fulfillment? Data validity: Is the data correct and relevant?

High Quality Data 52

High Quality Data Machine Learning Algorithm Datasets 52

Precisely

MAY 2, 2024

Simpler, faster customer master data management powered by automation. Precisely Automate turned the company’s routing issues around, with particularly high value being found in the flexible forms tool that enabled them to build in data governance and route correctly to the appropriate business users. Interested in a full demo?

Coding Skills 69

Coding Skills Food Data Portfolio 69

Striim

SEPTEMBER 11, 2024

By providing these diverse tools and capabilities, the consumption layer ensures that all users—from data scientists to business analysts—can derive actionable insights and drive informed decision-making across the organization. Are we going to be using intermediate data stores to store data as it flows to the destination?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Monte Carlo

JULY 10, 2023

Different sources may structure data inconsistently, which can lead to missing values within your data sets. Data may be delayed or become unavailable altogether, leaving your data set unexpectedly incomplete when you expect it to be fresh and comprehensive.

Data Collection 40

Data Collection Data Governance Government Data 40

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.

Raw Data 52

Raw Data Government Data Datasets 52

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.

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

The Modern Data Company

APRIL 15, 2024

By conceptualizing our data management efforts as a “Data Product Factory,” we commit to a process that values speed, adaptability, and the continual pursuit of excellence—ingredients for success in today’s fast-paced digital landscape.

Building 52

Building Raw Data Food Data 52

The Modern Data Company

APRIL 15, 2024

This shift is not merely operational but a strategic move towards a future where data is seamlessly integrated into every facet of business operations, paving the way for greater agility and success in a data-centric world.

Government 52

Government Metadata Data Data Management 52

The Modern Data Company

FEBRUARY 26, 2024

Contact the Modern Data Company and see how DataOS enables evolution without disruption. Schedule a demo PDF VERSION The post Why Evolutionary Architecture is Important in a Data-Driven World appeared first on TheModernDataCompany.

Architecture 52

Architecture Data Architecture Data Technology 52

Monte Carlo

FEBRUARY 6, 2023

Better governance? Facilitating self-service data? Integrating new tooling? Data Warehouse Security Best Practices Data governance is critical to the protection of both internal and customer data. Interested in learning about how data observability can simplify your data warehouse migration?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

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. Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

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. This encompasses the establishment of data dashboards, execution of comprehensive data quality management, and fulfillment of governance functions down to the granular level.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Precisely

JULY 15, 2024

The move to productize data also requires a way to package data products so they are easily and uniformly discoverable and consumed. Data products must be properly designed and organized to be reused across the organization. Then you need to know more about data mesh architecture. Does that align with your business goals?

Data Governance 72

Data Governance Data Integration Government Data 72

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.

Building 52

Building Data Validation Healthcare Data Integration 52

The Modern Data Company

APRIL 20, 2023

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

MARCH 1, 2024

Cost Optimization: Pay only for the data and resources you use, eliminating unnecessary storage and compute costs associated with large data lakes. Improved Governance and Security: Granular access controls and role-based permissions within Data Products enhance data governance and security.

Database-centric 40

Database-centric Data Lake Government Retail 40

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Databricks focuses on data engineering and data science.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

APRIL 20, 2023

Squatch VP of Data, IT & Security, Nick Johnson. Data integration and modeling In previous eras, data models like Data Vault were used to manually create full visibility into data lineage. Data Governance and Compliance The only things propagating faster than data are data regulations.

Data Warehouse 52

Data Warehouse BI Data Government 52