Marc Lamberti

OCTOBER 20, 2023

A template engine is a library that combines templates with data models to produce documents. Airflow templates allow you to inject DAG Run and Task Instance metadata in your tasks at runtime. To know if you can use templating or not, you must look at… the documentation Let’s retake the BashOperator. Templating!

SQL 130

SQL Python Coding Metadata 130

François Nguyen

MARCH 22, 2021

and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). The core idea of Data Mesh is how you can develop the data usages and remove the centralized and monolitich data warehouse where you have very less access. What you have to code is this workflow !

Architecture 130

Architecture Technology Google Cloud Metadata 130

Monte Carlo

FEBRUARY 12, 2024

Their lineage can be mapped and their health can be measured using the same core pillars of freshness, volume, and schema (metadata). Unstructured data from product documentation, Slack chats, internal knowledge repositories, and other sources is uploaded to Pinecone.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Netflix Tech

JUNE 1, 2023

The replay traffic environment generated responses containing a standard playback manifest, a JSON document containing all the necessary information for a Netflix device to start playback. It also included metadata about ads, such as ad placement and impression-tracking events. Keep an eye out for updates on this.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Monte Carlo

MAY 18, 2023

You may even already have access to one of them. No-code Editor : It’s possible to augment the lineage captured from machine metadata with a drag and drop no-code editor. One reviewer said, “I’m in the process of setting up OpenMetadata in our org, ingesting metadata from Athena, Superset and Dagster.

Metadata 64

Metadata Data Lake Government Data Governance 64

Rockset

NOVEMBER 14, 2022

For highly-selective search queries, Rockset uses its search indexes to locate documents matching predicates and then fetches the corresponding values from the row store. Rockset uses RocksDB as its embedded storage engine, storing documents as key-value pairs (ie: document identifier, document value).

Metadata 52

Metadata Datasets Cloud Accessible 52

Data Engineering Weekly

JUNE 29, 2023

The quest to simplify data access is there forever, but with the advancement in LLM, I think it will become a reality. Databricks and Snowflake are better places to index the data and its metadata to enable natural language query capabilities. On top of it, it does support access control for queries and maintains the permission model.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

phData: Data Engineering

OCTOBER 12, 2022

Hosted Doc Site for Documentation One of the most powerful features of dbt can be the documentation you generate. This documentation can give different users insight into where data came from, what the profile of the data is, what the SQL looked like, and the DAG to know where the data is being used.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

Knowledge Hut

APRIL 4, 2024

You can think of a cookbook as a collection of all the recipes, files, characteristics, and metadata you'll need to implement a specific scenario. Metadata A small bit of metadata is required for every cookbook. Cookbooks In Chef Infra, a Cookbook is the basic unit of configuration and policy distribution.

Architecture 52

Architecture Amazon Web Services Metadata AWS 52

Towards Data Science

DECEMBER 1, 2023

However, we will pay particular attention to Access Control (this will be used for dbt access). After the initial sync, you can access your data from the Snowflake UI. There are two ways to access dbt: dbt Cloud and dbt Core. Good documentation provides better data discoverability and governance.

Data Engineering 72

Data Engineering Data Engineer Project Engineering 72

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Translating business requirements into an effective data infrastructure Data architects collect and document business requirements to clearly define objectives a company wants to reach with data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

phData: Data Engineering

SEPTEMBER 19, 2023

Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data. Metadata Management Data modeling methodologies help in managing metadata within the data lake. Metadata describes the characteristics, attributes, and context of the data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

AUGUST 10, 2021

Impala Row Filtering to set access policies for rows when reading from a table. Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI. Figure 1: sales group SELECT access. x, and 6.3.x,

Cloud 97

Cloud Kafka Metadata SQL 97

Cloudera

SEPTEMBER 28, 2020

Attribute-based access control and SparkSQL fine-grained access control. Store and access schemas across clusters and rebalance clusters with Cruise Control. Review the Upgrade document topic for the supported upgrade paths. Document the number of dev/test/production clusters. using the steps documented here.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Knowledge Hut

APRIL 25, 2024

For example, Ransomware, worms, viruses, and trojans are all considered malware and can be in the format of Images, documents, pdf, or multimedia and can be delivered through any channel like spam email, SMS, the man-in-the-middle attack, etc. It stays restricted to access until you send money (ransom) to unlock everything.

Electronics 52

Electronics Utilities Banking Programming 52

Cloudera

DECEMBER 10, 2020

In a multi-tenant environment, many users access the same data sources. The very high degree of compression built into these file formats reduces storage space and time to access storage. These techniques range from distributing concurrent query for overall throughput to metadata caching, data caching, and results caching.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Weekly

JANUARY 6, 2023

Recap makes it easy for engineers to build infrastructure and tools that need metadata. Recap is a data catalog for machines–a metadata service. Recap focuses on metadata that software needs–schema, access controls, data profiles, indexes, and queries. Humans use traditional data catalogs.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40

Knowledge Hut

JULY 20, 2023

All of them use image encryption to hide them from unauthorized access. The encryption process ensures that even if an attacker gains access to the encrypted image, they cannot retrieve the original content without the decryption key. Today, there are hordes of online photo encryption tools available to encrypt photos online.

Medical 40

Medical Algorithm Metadata Cloud Storage 40

Cloudera

JUNE 25, 2021

The Replication Manager support matrix is documented in our public docs. While using CDH on-premises cluster or CDP Private Cloud Base cluster, make sure that the following ports are open and accessible on the source hosts to allow communication between the source on-premise cluster and CDP Data Lake cluster.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

dbt Developer Hub

JANUARY 23, 2023

We cut the number of tests down to 200, creating a more mature framework that includes metadata and emphasizes actionability. Aggregating test failure results using Jinja macros and pre-configured metadata to pull together high level summary tables. Our metadata is stored in a seed file. on BigQuery. test_alias = f.

Metadata 52

Metadata High Quality Data SQL Data Integration 52

Snowflake

MAY 8, 2023

By leveraging Snowflake’s comprehensive metadata on query history and operator statistics , alongside Acceldata’s advanced query fingerprinting techniques, users can attain a deeper comprehension of their workloads and pinpoint the most resource-intensive or unoptimized queries.

Technology 109

Technology SQL BI Utilities 109

Cloudyard

MAY 11, 2023

Indeed, the Custom role has access to VIEW only. METADATA$ACTION='DELETE') THEN update set ENDDATE = TO_TIMESTAMP_NTZ(CURRENT_TIMESTAMP) , active_flg = 'N' when not matched and (T2.METADATA$ACTION='INSERT') Consider the scenario you have a regular View in your database which is based on multiple tables. CUST_NUM = T2.CUST_NUM

Metadata 52

Metadata Database SQL Accessible 52

Monte Carlo

JUNE 28, 2022

By design, data was less structured with limited metadata and no ACID properties. Unity Catalog The Unity Catalog unifies metastores, catalogs, and metadata within Databricks. The Databricks Unity Catalog does what it says: it unifies individual metastores, catalogs and serves as a central metadata repository in Databricks.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Databand.ai

JULY 19, 2023

They trace and document the life cycle of data, from its origin to its various transformations and final destination. Metadata Management Metadata, or ‘data about data’, is a crucial component of data management. It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Cloudera

JULY 14, 2023

They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files. Hive creates Iceberg’s metadata files for the same exact table.

Metadata 70

Metadata Data Warehouse Big Data Ecosystem Java 70

Cloudera

SEPTEMBER 29, 2022

Instead of having a central team that manages all the data for a company, the thinking is that the responsibility of generating, curating, documenting, updating, and managing data should be distributed across the company based on whichever team is best suited to produce and own that data. Data mesh conceptual hierarchy. Miro: [link].

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

Cloudera

JANUARY 19, 2024

Please refer to the product documentation for more information about specific releases. The SQL AI Assistant will only share data that the currently logged-in user is allowed to access, but it is of utmost importance that you use a service that you can trust with your data. Azure subscription First, get Azure access.

SQL 72

SQL Data Warehouse AWS Architecture 72

Cloudera

SEPTEMBER 30, 2021

Before proceeding with the upgrade it is worth reviewing the prerequisites as specified in the documentation. Please note the warnings around specific versions of JDKs in the documentation. Note: The HiveServer2 role is moved to this service and should no longer be accessed under the Hive service within Cloudera Manager.

Cloud 70

Cloud PostgreSQL Metadata MySQL 70

Cloudera

MARCH 14, 2023

Creating data flows from scratch Developers access the Flow Designer through the new Flow Design menu item in Cloudera DataFlow (Figure 2), which will show an overview of all existing drafts across workspaces that you have access to. To learn more, take the product tour or check out the DataFlow Designer documentation.

Data Pipeline 82

Data Pipeline Designing Kafka Metadata 82

Cloudera

FEBRUARY 17, 2022

Provides self-service access to integrated, multi-function analytics on centrally managed and secured business data. Before proceeding with the upgrade, review the CDP Private Cloud Base prerequisites as specified in the documentation. The end-to-end process is relatively straightforward and well documented. CDP Knowledge Hub.

Cloud 97

Cloud Data Professional Services Metadata 97

Marc Lamberti

SEPTEMBER 29, 2023

If you look at the official documentation of Apache Airflow, it is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. The Meta Database stores metadata related to your DAGs, Task Instances, Users, and more. Introduction to Airflow: What it is? The Scheduler schedules your DAGs and Tasks.

Data Pipeline 130

Data Pipeline Python AWS Project 130

Netflix Tech

MARCH 5, 2020

The management of not only data collected about the incident itself but all of the metadata about the response. Resources are documents, screenshots, logs or any other piece of digital information that is used during an incident. Create Incident Document? —?The Slack for managing incident metadata (e.g. Meet Dispatch!

Metadata 81

Metadata AWS Management Architecture 81

Towards Data Science

APRIL 6, 2023

Automated data catalogs Automating your data catalog makes data more accessible to developers, analysts, and non-technical teammates, which leads to better, data-driven decision-making. As you build out your data catalog, here are a few key questions to ask: Table documentation What does each row represent?

Unstructured Data 81

Unstructured Data Metadata Data Coding 81

Snowflake

JULY 10, 2023

Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more. The analyst has read access to the DICOM image files and can create a scoped URL for files using build_scoped_file_url.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Cloudera

DECEMBER 9, 2022

This observation further emphasizes the need for universal developer accessibility , which makes sure that developer tooling is easy to use for newcomers while giving power users the advanced options they need. A critical aspect of universal developer accessibility is to provide dataflow development as a self-service offering to developers.

Designing 97

Designing Coding Google Cloud AWS 97

Monte Carlo

MAY 16, 2022

Data lineage isn’t new, but automation has finally made it accessible and scalable—to a certain extent. This traditional method of documenting lineage was time-intensive and nearly impossible to maintain. Data lineage is a type of metadata that traces relationships between upstream and downstream dependencies in your data pipelines.

Metadata 52

Metadata Data Data Pipeline Big Data 52

Monte Carlo

DECEMBER 20, 2023

Data teams will look like software teams The most sophisticated data teams are viewing their data assets as bonafide data products—complete with product requirements, documentation, sprints, and even SLAs for end-users. As of Q1 2023, IDC reports that cloud infrastructure spending rose to $21.5

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 52