Silectis

FEBRUARY 3, 2021

Backed by a robust metadata repository, Magpie leverages activity tracking and data governance to offer a comprehensive suite of automated data lineage features. With an abundance of tooling items, Magpie’s features include metadata object lineage, read and write event tracking, and table lineage graphs, among others.

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Data Engineering Data Engineer Engineering Data Lake 52

Silectis

DECEMBER 15, 2020

Integrated Security & Governance Features Ensuring that your data is protected and secure is one of our top priorities. The time to identify more insights out of huge sets of data. Request your demo below and we’ll be in touch to get you set up. Learn more about the technology behind Magpie here.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

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phData: Data Engineering

DECEMBER 16, 2021

As a result, it is important to know what is happening to your data. Is your data just being scanned, or is it being moved? Where is your metadata stored? How easy is it to offboard your data if you choose another tool? It can let the user know about the quality and age of the data as well as any policies attached to it.

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Monte Carlo

JULY 10, 2023

Data sampling If you’re working with large data sets where it’s impractical to evaluate every attribute or record, you can systematically sample your data set to estimate completeness. Be sure to use random sampling to select representative subsets of your data.

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Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

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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. Projections show that the data governance market will expand from $1.81

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Data Governance Government Healthcare Programming 52

The Modern Data Company

MARCH 7, 2023

Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. If you missed it, make sure to catch up on Part 1 – Data Timeliness. What Is Data Taxonomy? Data that is properly classified, catalogued, and tagged is usually well-governed data.

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Snowflake

JANUARY 23, 2024

Snowpark ML Operations: Model management The path to production from model development starts with model management, which is the ability to track versioned model artifacts and metadata in a scalable, governed manner. The Snowpark Model Registry API provides simple catalog and retrieval operations on models.

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Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

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Metadata Data Governance Government Business Intelligence 52

The Modern Data Company

JANUARY 17, 2023

These include internal data lakes, apps (1st or 3rd party), web SDK, internal or 3rd-party databases, and even spreadsheets generated within the marketing department. Without lineage or governance metadata, the quality of this data is anyone’s guess. New data is added to the catalog automatically upon ingestion.

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Metadata Government Data Lake Data 59

AltexSoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. The prevailing part of users claim that it is quite easy to configure and manage data flows with Oracle’s graphical tools. Data profiling and cleansing. Source: G2.

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Ascend.io

APRIL 7, 2023

Data fabric is a centralized platform architecture originating from a curated metadata layer that sits on top of an organization’s data infrastructure. Every time a new data source is added, the metadata layer is updated to define how and when that data should be used. Increasing speed.

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Metadata Datasets Data Governance Government 52

Data Engineering Weekly

JULY 23, 2023

Find the right, trusted data by simply asking a question. Atlan AI leverages metadata that Atlan captures across the data stack to make AI part of your data stack. And you won’t have to ask 3 different people in your team just to find the right, trusted data — you just need your AI copilot.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Monte Carlo

JANUARY 23, 2023

Data lineage , an automated visualization of the relationships for how data flows across tables and other data assets, is a must-have in the data engineering toolbox. Not only is it helpful for data governance and compliance use cases, it also plays a starring role as one of the 5 pillars of data observability.

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IT BI Government Data Governance 52

The Modern Data Company

JANUARY 22, 2024

The result—no matter the final configuration or what a company’s data landscape looks like—is a data ecosystem characterized by consistency, reliability, and absolute adherence to governance principles. Operational data integration leadership DataOS supports a broad spectrum of use cases.

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The Modern Data Company

JANUARY 22, 2024

The result—no matter the final configuration or what a company’s data landscape looks like—is a data ecosystem characterized by consistency, reliability, and absolute adherence to governance principles. Operational data integration leadership DataOS supports a broad spectrum of use cases.

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The Modern Data Company

MARCH 1, 2024

Instead of forcing all data through a centralized bottleneck, they break it down into modular, self-contained units. Each Data Product is designed for a specific purpose, equipped with the necessary data, transformations, and metadata. Data Products simplify access and processing, empowering faster decision-making.

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Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. Data lineage helps ensure you have clear lines of accountability that data team structure–centralized, center of excellence , data mesh– you use or however your data pipelines evolve.

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AltexSoft

MARCH 30, 2023

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools.

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