Snowflake

JANUARY 23, 2024

Internal benchmarks on a large data set show significant speedup achievable compared to running with data transformation functions such as StandardScaler and OneHotEncoder and on compute-intensive data processing such as pairwise-correlation.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? Data As Code is a very strong choice : we do not want any UI because it is an heritage of the ETL period.

Technology 130

Technology Architecture Google Cloud Metadata 130

Monte Carlo

MARCH 13, 2024

Let’s dig in and explore the landscape of the top so-called “data quality tools” — what they are, what they’re not, and whether they’re the right first step towards more reliable data. Governance helps companies set important standards and achieve higher levels of data security, data accessibility, and data quality.

Data Governance 52

Data Governance Government Metadata Data 52

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.

Metadata 52

Metadata Datasets Data Governance Government 52

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Databand.ai

AUGUST 30, 2023

Validity: Adherence to predefined formats, rules, or standards for each attribute within a dataset. Uniqueness: Ensuring that no duplicate records exist within a dataset. Integrity: Maintaining referential relationships between datasets without any broken links.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Monte Carlo

MAY 20, 2024

On the other hand, a data catalog contains a broader array of content designed to make it easy to understand and use data across multiple systems and platforms. Typical contents of a data catalog include: Dataset Descriptions : Summaries of what each dataset contains, its purpose, and its business relevance.

Datasets 52

Datasets Government Data Business Analyst 52

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors.

Building 52

Building Data Cleanse Data Governance Datasets 52

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). Data ingestion through ‘s3’. data.csv','vaccine-dataset/data.csv').

Data Science 111

Data Science Cloud Hadoop Metadata 111

Precisely

SEPTEMBER 11, 2023

By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends, data relationships, and error resolution. Problem: “We face challenges in manually classifying, cataloging, and organizing large volumes of data.”

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. We don't need spaces ( credits ) Data Economy 🤖 Graphext raises $4.6m Telmai raises $5.5m seed round.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Monte Carlo

FEBRUARY 26, 2024

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

Metadata 52

Metadata Government Data Data Governance 52

Monte Carlo

JANUARY 16, 2024

Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!). So how does Fox’s data strategy support these complex data workflows? Build what you want.

Government 52

Government High Quality Data Data Governance Entertainment 52

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.

Database-centric 40

Database-centric Data Lake Government Retail 40

phData: Data Engineering

SEPTEMBER 19, 2023

Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Precisely

MAY 31, 2023

As a result, organizations have had to bring copies of their data to the tools – one copy for data quality, one copy for data governance, and so on. In modern hybrid, multi-cloud environments, teams need tools that run where the data lives, whether that’s on-premises or in the cloud.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. What started as an idea of connecting between datasets quickly became a very confusing term that now gets misused often. This technique focuses directly on the data (vs.

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

phData: Data Engineering

DECEMBER 16, 2021

When setting your data catalog, it is tempting to leave it with a technical team that can keep the automation running, onboard new datasets, and support upgrades and downtime. Lead/Data Steward A Lead/Data Steward is someone who is responsible for making sure that the data is meeting the standards required for the company.

Metadata 52

Metadata Datasets Data Education 52

LinkedIn Engineering

JUNE 2, 2023

For example, if a media outlet uses incorrect data from an Economic Graph report in their reporting, it could result in a loss of trust among their readership. We currently address over 50 requests for our data and insights per month. This is particularly useful for the Asimov team to see dataset health over time at a glance quickly.

Building 75

Building Banking Datasets Media 75

Lyft Engineering

OCTOBER 3, 2023

Semantic Correctness —  The core.rider_events derived dataset shows a drastic increase in today’s cancels volume, caused by a bug in the origin web service creating the event. High-level Concepts Check Definition   — The user-written configuration file defining the data quality contract and who to notify if it is breached.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Precisely

FEBRUARY 9, 2024

Organizations must focus on breaking down silos and integrating all relevant, critical data into on-premises or cloud storage for AI model training and inference. These more complete datasets will both reduce bias and increase accuracy.

Data Integration 67

Data Integration Government Metadata Data 67

Monte Carlo

NOVEMBER 14, 2023

Databricks announced that Delta tables metadata will also be compatible with the Iceberg format, and Snowflake has also been moving aggressively to integrate with Iceberg. How data observability can increase data trust in Iceberg tables What is Apache Iceberg? How Apache Iceberg tables structure metadata.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Precisely

OCTOBER 12, 2023

Doing so requires comprehensive data quality and data governance programs that help you clearly understand who you’re dealing with. Strong data quality and data governance programs are key to success in these use cases as well. Internal controls and fraud detection.

Banking 62

Banking Data Integration Data Governance Government 62

Cloudera

JULY 17, 2023

The trust develops through an understanding of the data as maintained through metadata in your Data Catalog : classification, lineage, currency, and business context. You can see that we did great on report standardization but we have longer to go to certify our enriched datasets and data marts, and to repipe our users’ assets.

Metadata 69

Metadata Government Data Governance Datasets 69

Monte Carlo

JULY 11, 2023

When crucial information is omitted or unavailable, the analysis or conclusions drawn from the data may be flawed or misleading. Inconsistent data: Inconsistencies within a dataset can indicate inaccuracies. This can include contradictory information or data points that do not align with established patterns or trends.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Cloudera

MARCH 23, 2022

Therefore, alleviating the need to use different connectors, exotic and poorly maintained APIs, and other use-case specific workarounds to work with your datasets. . Iceberg is designed to be open and engine agnostic allowing datasets to be shared. 3: Open Performance. Flexible and open file formats. Open the door to new use-cases.

Metadata 90

Metadata Data Architecture BI Machine Learning 90

Monte Carlo

NOVEMBER 20, 2023

So, what is data quality exactly? Data quality is defined by how accurate, reliable, complete, discoverable, trustworthy and actionable a specific dataset is for a given use-case. This can make it difficult to pinpoint the root cause of data quality expectations. Below is a breakdown of what that might look like.

Government 69

Government Data Data Governance Datasets 69

Precisely

APRIL 11, 2023

When data owners from business and technical teams don’t share a common understanding of this siloed data enterprise-wide, confidence in decisions and results are impacted. That’s why a data catalog is critical to any organization – particularly if you run analysis and reports in cloud data platforms.

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Silectis

FEBRUARY 3, 2021

Below we’ll cover the basics of data lineage, why it is important, and how Magpie enables teams to trust their data with this important new release. What is Data Lineage? Data lineage refers to the entire lifecycle of a dataset from its sources of origin all the way to its current state.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Precisely

JANUARY 8, 2024

While the use cases for AI are many, you need to make sure that the data that trains your models has data integrity – maximum accuracy, consistency, and context – to produce the best results. It’s worth noting, though, that to maximize the potential of location data, you need to address data quality issues first.

Insurance 62

Insurance Telecommunication Retail Data Integration 62

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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineering 92

Data Engineering Data Engineer Cloud Engineering 92

Precisely

OCTOBER 5, 2023

When we think about the big picture of data integrity – that’s data with maximum accuracy, consistency, and context – it becomes abundantly clear why data enrichment is one of its six key pillars (along with data integration, data observability, data quality, data governance, and location intelligence).

Raw Data 67

Raw Data Insurance Datasets Telecommunication 67

Monte Carlo

JANUARY 12, 2024

The concept of big data – complicated datasets that are too dense for traditional computing setups to deal with – is nothing new. But what is new, or still developing at least, is the extent to which data engineers can manage, data scientists can experiment, and data analysts can analyze this treasure trove of raw business insights.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Monte Carlo

JANUARY 24, 2023

This creates a centralized network of all your data, where connections and relationships can be identified freely—without relying on point-to-point integrations between specific applications or datasets. Key components of a data fabric Metadata analysis Metadata is data about your data.

Metadata 40

Metadata Unstructured Data Data Architecture 40

Monte Carlo

JULY 13, 2023

By automating data access controls, through self-service access and frictionless access controls , data engineering teams can streamline the process of granting and revoking data access, reducing manual effort and increasing efficiency. Automating security measures also helps data engineering teams simplify compliance reporting.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

FEBRUARY 11, 2023

Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations. In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information.

Data Architect 87

Data Architect Certification Generalist Big Data 87