Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. Now you have to decide what sorts of things to test in order to figure out definitively if the tool is the right commitment for you and the team.

ETL Tools 84

ETL Tools Metadata Data Integration Data Science 84

Tweag

NOVEMBER 1, 2023

But if this function calls other functions internally, the parameters to the inner call aren’t necessarily accessible. Instead of writing functions that return records and pipe them together, we write records directly where all fields might not have a definition yet. You need to bubble them up to the root function’s argument.

Metadata 104

Metadata Programming Programming Language Coding 104

ThoughtSpot

OCTOBER 9, 2023

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

Metadata 83

Metadata Government Data Data Governance 83

Monte Carlo

JULY 10, 2023

That’s where the definition of data completeness comes in. For example, let’s say a streaming provider has 10 million overall subscribers who can access its content. Data profiling Data profiling uses a tool or programming language to surface metadata about your data. The same is true with data.

Data Collection 40

Data Collection Data Governance Government Data 40

Towards Data Science

NOVEMBER 4, 2023

Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. """DAG definition for recommendation_bespoke model training.""" It’s great for rapid development and I like how it works with metadata to describe data pipelines. Consider this example below.

Data Engineering 86

Data Engineering Data Engineer Engineering BI 86

Tweag

MAY 16, 2023

Since the previous stable version ( 0.3.1 ), efforts have been made on three principal fronts: tooling (in particular the language server), the core language semantics (contracts, metadata, and merging), and the surface language (the syntax and the stdlib). The | symbol attaches metadata to fields.

MySQL 131

MySQL Metadata Data Validation Coding 131

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. As far as Big Data is concerned, data security should be high on their priorities as most modern businesses are vulnerable to fake data generation, especially if cybercriminals have access to the database of a business.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.) Who has an access to this Data ? Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

dbt Developer Hub

DECEMBER 19, 2023

Integration points ​ Discovery API (formerly referred to as Metadata API) Overview — This GraphQL API allows you to query the metadata that dbt Cloud generates every time you run a dbt project. The job level will only provide you the metadata of one job, giving you only a small snapshot of part of the project.

Metadata 52

Metadata Cloud Accessible Accessibility 52

Zalando Engineering

OCTOBER 18, 2023

The query directives are generally useful for clients to express certain types of metadata for the query. We can access the request parameters (like pathname) by running GraphQL over HTTP. on FIELD_DEFINITION For example, it is used in a query definition as follows - type CustomerConsent { status : String ! are some entities.

Metadata 86

Metadata Coding Banking Designing 86

Monte Carlo

JANUARY 23, 2024

As the machine became smarter with the next generation of data access, we flattened everything to features and columns. Almost every business I walk into, you can talk to the marketing team and the sales team and they have different definitions of things with the same name,” John says. “I Those who don’t embrace it will be left behind.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 89

Metadata Python AWS Government 89

Monte Carlo

MARCH 4, 2024

To do this, data observability solutions like Monte Carlo will piece together information from query logs, data aggregates and system metadata. All of this is to say that how table formats are structured, and specifically the metadata, impacts how they can be monitored and observed. Now data teams can have their lake and eat it too.

Metadata 52

Metadata Data Lake Data Warehouse Data Engineering 52

DoorDash Engineering

DECEMBER 5, 2023

Key terminology Here are definitions and links to further documentation about the tools we used. Exposes a unique hardware definition language (HDL) for configuring compute resources. All Topics, even those without any messages, include some metadata that is backed up to disk. Terraform : Infrastructure-as-code (IaC) platform.

Kafka 91

Kafka Programming Language Metadata Architecture 91

ThoughtSpot

JUNE 28, 2023

Getting started with version control APIs To begin, ensure that the following prerequisites are met: You have admin access (can administer Thoughtspot privilege) to connect ThoughtSpot to a Git repository and deploy commits. You have a Git repository and a branch that can be used as a default branch in ThoughtSpot.

Metadata 72

Metadata Accessible Accessibility Utilities 72

Data Engineering Podcast

MARCH 27, 2022

What is your working definition of "data governance" and how does that influence your product focus and priorities? Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform.

Data Governance 130

Data Governance Government Cloud Building 130

François Nguyen

MARCH 22, 2021

This is really for us the definition of a self serve platform. and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. What you have to code is this workflow

Architecture 130

Architecture Technology Google Cloud Metadata 130

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

Government 79

Government Metadata Data Lake Data 79

Monte Carlo

FEBRUARY 26, 2024

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. Additionally, data catalogs can centrally enforce rules of access, security, and governance, all in a way that is both automatic and visible.

Metadata 52

Metadata Government Data Data Governance 52

Christophe Blefari

FEBRUARY 3, 2023

ebay, Variable Hub a data access layer for risk decisioning — Looks like a feature store but for risk topics. What's often stays is that AE is between DE and DA, so the definition is often done complementarily to other positions. The article shows our Netflix art creators are using past data to create new artworks.

BI 130

BI Google Cloud SQL Machine Learning 130

DoorDash Engineering

APRIL 12, 2023

The Metrics Layer, also known as a Semantic Layer, is a critical component of the modern data stack that has recently received significant industry attention offers a powerful solution to the challenge of standardizing metric definitions. Lack of governance Our platform lacked governance policies for metric definitions.

SQL 82

SQL Metadata Raw Data Government 82

Cloudera

MARCH 14, 2023

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Data Engineering Podcast

MAY 18, 2021

High-growth startups use Molecula’s feature store because of its unprecedented speed, cost savings, and simplified access to all enterprise data. From feature extraction to model training to production, the Molecula feature store provides continuously updated feature access, reuse, and sharing without the need to pre-process data.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables (not files/blobs) are the only API abstraction for end-users.

Big Data 78

Big Data Data Management Management Metadata 78

Towards Data Science

MAY 26, 2023

Because you have to update code to change how computation operates, you, by definition, then update lineage without you having to do anything ?. At a high level the recipe for ‘Lineage as Code’ and then subsequently accessing it is: Write Hamilton code & version it. Adding metadata to make lineage more useful!

Metadata 86

Metadata Data Science Coding Machine Learning 86

RandomTrees

FEBRUARY 6, 2024

Transformation: Shaping Data for the Future: LLMs facilitate standardizing date formats with precision and translation of complex organizational structures into logical database designs, streamline the definition of business rules, automate data cleansing, and propose the inclusion of external data for a more complete analytical view.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

FEBRUARY 8, 2023

Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. AWS Glue then creates data profiles in the catalog, a repository for all data assets' metadata, including table definitions, locations, and other features. Developers get access to developer endpoints that they can use to work with the code.

AWS 98

AWS Scala Metadata Data Lake 98

Ascend.io

FEBRUARY 28, 2024

Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing. By ensuring data is well-organized and readily accessible, data engineers empower AI systems to deliver targeted and effective solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

LinkedIn Engineering

APRIL 25, 2023

resource definitions, their entity schemas and their relationship definitions as input and generates a federated GraphQL type system. These data fetchers are written in a way to use the metadata available on our type system to self-configure and wire appropriately during the service startup. Given that our Rest.li

Architecture 109

Architecture Metadata Java Transportation 109

Cloudera

SEPTEMBER 29, 2022

The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. And during this time they will by definition have a hybrid architecture. What are the different definitions of hybrid architectures? There are many definitions of the hybrid data architecture.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. The system stores metadata about data which makes it easier to find and retrieve data.

Database Design 52

Database Design Relational Database Metadata Database 52

The Modern Data Company

MARCH 1, 2024

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. Democratized Data Access: Empower business users with self-service access to relevant data insights, fostering a data-driven culture.

Database-centric 40

Database-centric Data Lake Government Retail 40

Databand.ai

AUGUST 30, 2023

Learn more in our detailed guide to data reliability testing Metadata Management Metadata management is the process of organizing, maintaining, and using metadata to improve the quality, consistency, and usability of your data.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Netflix Tech

NOVEMBER 13, 2023

The detailed temporal metadata SMAD provides about speech and music regions in a polyphonic audio mixture are a first step for structural audio segmentation, indexing and pre-processing audio for the following downstream tasks. Likewise, authoring accessibility-features like Audio Description (AD) involves music and speech segmentation.

Datasets 89

Datasets Metadata Algorithm Architecture 89

dbt Developer Hub

DECEMBER 11, 2023

The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand.

Finance 64

Finance BI SQL Cloud 64

Data Engineering Podcast

FEBRUARY 6, 2022

He also explains how he and his team at Privacy Dynamics are working to make those strategies more accessible to organizations so that you can focus on all of the other tasks required of you. You can observe your pipelines with built in metadata search and column level lineage. Which categor(y|ies) are you focused on addressing?

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

Monte Carlo

DECEMBER 8, 2023

Data provenance is the record of metadata from data’s original sources, providing the historical context and authenticity of data. Let’s dive deeper into the definitions of data provenance and data lineage, what they’re used for, and why they’re so important for data teams. Enter: data provenance and data lineage.

Metadata 52

Metadata Data Data Warehouse Government 52