AltexSoft

JUNE 7, 2021

A HDFS Master Node, called a NameNode , keeps metadata with critical information about system files (like their names, locations, number of data blocks in the file, etc.) For every data unit, the NameNode has to store metadata with names, access rights, locations, and so on. HDFS master-slave structure. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Snowflake

MARCH 29, 2023

Iceberg supports many catalog implementations: Hive, AWS Glue, Hadoop, Nessie, Dell ECS, any relational database via JDBC, REST, and now Snowflake. After making an initial connection to Snowflake via the Iceberg Catalog SDK, Spark can read Iceberg metadata and Parquet files directly from the customer-managed storage account.

Metadata 105

Metadata Scala Hadoop Relational Database 105

ProjectPro

FEBRUARY 8, 2023

Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL. Why Use AWS Glue? being data exactly matches the classifier, and 0.0

AWS 98

AWS Scala Metadata Data Lake 98

Precisely

JANUARY 25, 2024

It frequently also means moving operational data from native mainframe databases to modern relational databases. Typically, a mainframe to cloud migration includes re-factoring code to a modern object-oriented language such as Java or C# and moving to a modern relational database. Best Practice 2. Best Practice 3.

Metadata 69

Metadata Relational Database Data Governance Government 69

Netflix Tech

FEBRUARY 16, 2021

The original SKU catalog is a logic-heavy client library packaged with complex metadata configuration files and consumed by various services. Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates.

Building 87

Building Management Metadata Entertainment 87

Cloudera

NOVEMBER 23, 2021

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

Database 91

Database Non-relational Database NoSQL Government 91

Datakin

AUGUST 5, 2021

Lineage metadata is the thread that connects it all together. However, there is more than one way to capture lineage metadata. How lineage metadata has traditionally been captured For most of us, lineage metadata is collected when we need it most: during an active investigation.

Metadata 52

Metadata Relational Database SQL Datasets 52

Netflix Tech

DECEMBER 14, 2018

NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries. In NMDB we think of the media metadata universe in units of “DataStores”. A specific media analysis that has been performed on various media assets (e.g.,

Media 97

Media Database Metadata Data Schemas 97

Cloudera

AUGUST 31, 2021

It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. The data from your existing data warehouse is migrated to the storage option you choose, and all the metadata is migrated into SDX (Shared Data Experiences) layer of Cloudera Data Platform.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

know.bi

JUNE 22, 2022

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools.

MySQL 52

MySQL Relational Database Metadata Database 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. This means a data architect should have a good grasp on the data lifecycle management (DLM) and understand the way metadata is used during each step of DLM.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. She needs to measure the streaming telemetry metadata from multiple manufacturing sites for capacity planning to prevent disruptions. Meet Laila, a very opinionated practitioner of Cloudera Stream Processing.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Data Engineering Weekly

AUGUST 25, 2024

The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases. The author did an amazing job of describing how Parquet stores the data and compression and metadata strategies. link] All rights reserved ProtoGrowth Inc, India.

Data Engineer 71

Data Engineer Data Engineering Engineering Database-centric 71

Towards Data Science

MARCH 5, 2024

Photo by Shubham Dhage on Unsplash While data normalization holds merit in traditional relational databases, the paradigm shifts when dealing with modern analytics platforms like BigQuery. If the keys are not enforced and this is not a relational database as we know it, what is the point?

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

LinkedIn Engineering

JANUARY 16, 2024

At the heart of this system was a reliance on a relational database, Oracle, which served as the repository for all member restrictions data. These records held vital metadata linked to the restriction, including essential timestamps.

Kafka 84

Kafka Relational Database Java Database 84

phData: Data Engineering

SEPTEMBER 19, 2023

Metadata Management Data modeling methodologies help in managing metadata within the data lake. Metadata describes the characteristics, attributes, and context of the data. By incorporating metadata into the data model, users can easily discover, understand, and interpret the data stored in the lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 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. The essential components of the virtual layer are.

Process 69

Process Data Lake Metadata Data Warehouse 69

Booking.com Engineering

DECEMBER 2, 2022

A Unified View for Operational Data We kept most of our operational data in relational databases, like MySQL. For structured and hierarchical data, this feature lets us place related data close together, maximizing spatial locality. Fig 2: An overview of BigQuery’s disaggregation of storage, memory, and compute[13].

Systems 52

Systems Cloud MySQL Relational Database 52

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. A data warehouse (DW) is a centralized repository for data accumulated from an array of corporate sources like CRMs, relational databases , flat files, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 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 Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

AltexSoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., Data and metadata. Basic metadata can be structural, descriptive, and administrative.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Knowledge Hut

JULY 24, 2023

It allows changes to be made at various levels of a database system without causing disruptions or requiring extensive modifications to the applications that rely on the data. In addition to data entered by users, database systems typically store large amounts of data. What is Data Independence of DBMS?

Database Design 52

Database Design Relational Database Database Metadata 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Columnar Database (e.g.-

Database 52

Database NoSQL MongoDB Telecommunication 52

AltexSoft

SEPTEMBER 23, 2021

The structure of data is usually predefined before it is loaded into a warehouse, since the DW is a relational database that uses a single data model for everything it stores. In a nutshell, a model is a specific data structure a database can ingest. Enrichment with metadata is another important thing. Stambia data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Silectis

JANUARY 3, 2021

Data Catalog An organized inventory of data assets relying on metadata to help with data management. MapReduce MapReduce is a component of the Hadoop framework that’s used to access big data stored within the Hadoop File System Metadata A set of data that describes and gives information about other data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

NOVEMBER 15, 2021

You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. However, Trino is not limited to HDFS access.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. NameNode is often given a large space to contain metadata for large-scale files. The metadata should come from a single file for optimal space use and economic benefit.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

OCTOBER 28, 2015

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. This will simplify further reading.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

OCTOBER 3, 2022

The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. A knowledge graph example. The future of knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 52

Edureka

OCTOBER 10, 2024

Databases: The most used relational database platforms, such as SQL Server, Oracle, MySQL, and PostgreSQL databases, are recognized both as source and sink platforms. Also integrated are the cloud-based databases, such as the Amazon RDS for Oracle and SQL Server and Google Big Query, to name but a few.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Data Engineering Weekly

MARCH 24, 2023

Drawback #1: Not Every Database Supports Transaction The relational database support transaction for multiple mutation statements. A typical outbox table will look like the following. As with any other system, the outbox pattern has its problems too. You can find more information about it by visiting [link].

Engineering 68

Engineering Data Transportation Database 68

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. DML statements provide the means to interact with the database, perform data analysis, generate reports, and modify data as per the application requirements.

MySQL 52

MySQL Medical Relational Database Database 52

Monte Carlo

JANUARY 24, 2023

Instead of relying on time-consuming integrations, complicated pipelines, and hefty relational databases, data consumers can tap into easily accessible and visualized data. Key components of a data fabric Metadata analysis Metadata is data about your data. Do you have quality metadata available to power your data fabric?

Metadata 40

Metadata Unstructured Data Data Architecture 40

Monte Carlo

NOVEMBER 6, 2023

It offers a 360-degree view of your data, including data lineage, relationships, and rich metadata. It can connect to a broad range of source types, including relational databases, file systems, and BI tools. Informatica’s data discovery tool also emphasizes collaboration, allowing teams to share data knowledge and insights.

Metadata 40

Metadata Unstructured Data Government Data Governance 40