Monte Carlo

MARCH 12, 2024

With Dataplex, teams get lineage and visibility into their data management no matter where it’s housed, centralizing the security, governance, search and discovery across potentially distributed systems. Dataplex works with your metadata. The SQL expression should evaluate to true (pass) or false (fail) per row.

Google Cloud 52

Google Cloud Metadata SQL Data Lake 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart DwH Mover helps in accelerating data warehouse migration.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Ascend.io

JULY 19, 2023

Establish clear data governance policies. The policies should outline rules and standards for data. These should be explicit and prescriptive, addressing the 5 aspects below: Domain and business key definitions: Clearly define your business keys and the domains they belong to. Develop a data product lifecycle framework.

Data Governance 40

Data Governance Government Metadata Data 40

Ascend.io

JUNE 8, 2023

Although point solutions for data lineage exist, fully integrated data pipeline lineage capabilities make superior use of operational metadata and produce better quality and more timely reports. These varying definitions are based on the format, function, origin, and different uses for the data in practice.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

dbt Developer Hub

MAY 2, 2022

cron schedule, API trigger), the jobs generate various artifacts that contain valuable metadata related to the dbt project and the run results. Data/analytics engineers would often write custom scripts for issuing automated calls to the API using tools cURL or Python Requests. data [ 0 ]. When triggered (e.g., CLI arguments).

Cloud 52

Cloud Metadata Python Database 52

AltexSoft

NOVEMBER 23, 2021

When connecting, data virtualization loads metadata (details of the source data) and physical views if available. It maps metadata and semantically similar data assets from different autonomous databases to a common virtual data model or schema of the abstraction layer. Informatica.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

JUNE 30, 2023

It helps in data consistency and accuracy by maintaining a standardized representation of data across the system. Data Definition Language (DDL) The Data Definition Language is a set of predefined commands or statements that are used to define and also manage the defined structure and organization of a designated database.

MySQL 52

MySQL Medical Relational Database Database 52

Monte Carlo

JANUARY 25, 2023

That being said, it tends to be much easier to reprocess data in the data warehouse when we do find bad records, whereas that might not be possible in a streaming environment. Definition of data contracts Similar to contracts in production services, contracts in the warehouse should be implemented in code and version controlled.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

Knowledge Hut

APRIL 20, 2023

Data Governance Examples Here are some examples of data governance in practice: Data quality control: Data governance involves implementing processes for ensuring that data is accurate, complete, and consistent. This may involve data validation, data cleansing, and data enrichment activities.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. All you need to do is set up AWS Glue to point to your AWS-stored data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

AUGUST 21, 2015

JSON stores both data and schema together in a record and also enables complete schema evolution and splitability. Avro files store metadata with data and also let you specify independent schema for reading the files. If the primary NameNode goes down, the standby will take its place using the most recent metadata that it has.

Hadoop 40

Hadoop Big Data Metadata Java 40