Striim

MARCH 4, 2025

Sentinel and Sherlocks Unified Approach to Data Governance The process kicks off with Sherlock AI, which scans both structured and unstructured data across SQL, NoSQL, SaaS, and cloud databases. Regulatory Alignment: Assists organizations in navigating compliance requirements such as GDPR, CCPA, HIPAA, and beyond.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Lyft Engineering

OCTOBER 3, 2023

Check Result— The numeric measurement of data quality at a point in time, a boolean pass/fail value, and metadata about this run. Metadata  —  This includes a human-readable name, a universally unique identifier (UUID), ownership information, and tags (arbitrary semantic aggregations like ‘ML-feature’ or ‘business-reporting’).

Big Data 87

Big Data Metadata Data Warehouse Data 87

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

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

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. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g.,

Media 97

Media Database Metadata Data Schemas 97

AltexSoft

FEBRUARY 11, 2023

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. 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

Rockset

MAY 10, 2022

DynamoDB is a popular NoSQL database available in AWS. However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. A Flexible and Future-Proofed Solution It is clear that AWS DynamoDB is a great NoSQL database offering.

NoSQL 52

NoSQL AWS MongoDB Database 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

Confluent

MAY 21, 2019

There are databases, document stores, data files, NoSQL and ETL processes involved. They are at the intersection of the way we develop software, the way we manage data, metadata and the interactions between teams. If you evaluate architectures by how easy they are to extend, then this architecture gets an A+.

Kafka 110

Kafka Insurance Architecture Database 110

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. Metadata layer. The schemas of structured and semi-structured datasets are kept in the metadata layer for the components to apply them to data while reading it.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 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. Informatica.

Process 69

Process Data Lake Metadata Data Warehouse 69

Rockset

DECEMBER 17, 2021

As a key-value NoSQL database, storing and retrieving individual records are its bread and butter. For those unfamiliar, DynamoDB makes database scalability a breeze, but with some major caveats.

SQL 52

SQL NoSQL Database Design 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. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

DECEMBER 21, 2023

NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Pros: NoSQL can be used for real-time applications due to its ability to handle lots of reads and writes. It is also horizontally scalable.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Edureka

OCTOBER 10, 2024

NoSQL Stores: As source systems, Cassandra and MongoDB (including MongoDB Atlas), NoSQL databases are supported to make the integration of the unstructured data easy. Preserve Metadata Along with Data When copying data, you can also choose to preserve metadata such as column names, data types, and file properties.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

AltexSoft

OCTOBER 30, 2021

Managing data and metadata. noSQL storages, cloud warehouses, and other data implementations are handled via tools such as Informatica, Redshift, and Talend. They set up resources required by the model, create pipelines to connect them with data, manage computer resources, and monitor and configure the model’s performance.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JANUARY 23, 2024

Mongo DB is a popular NoSQL and open-source document-oriented database which allows a highly scalable and flexible document structure. As a NoSQL solution, MongoDB is specifically designed to adeptly handle substantial volumes of data.

MongoDB 52

MongoDB Project Database-centric NoSQL 52

Edureka

MAY 6, 2024

Step 3) Gain knowledge about databases Learn about databases and their management systems, like SQL and NoSQL databases. Step 6) Metadata Management Understand the importance of metadata (data about data) and how to manage it effectively. Proper metadata management helps in understanding, grouping, and sorting data.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., A loose schema allows for some data structure flexibility while maintaining a general organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

MAY 9, 2024

Skills Required Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

LinkedIn Engineering

JANUARY 16, 2024

These records held vital metadata linked to the restriction, including essential timestamps. LinkedIn restriction enforcement system (2nd generation) First, we migrated all member restrictions data to Espresso , LinkedIn’s custom-built NoSQL distributed document storage solution. This strategic move streamlined our data management.

Kafka 84

Kafka Relational Database Java Database 84

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”. Data processing and persistence.

Big Data 44

Big Data NoSQL Hadoop Data Lake 44

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues. NameNode is often given a large space to contain metadata for large-scale files. As you may know, the NameNode keeps metadata about the file system in RAM.

Big Data 52

Big Data Hadoop Relational Database AWS 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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. Each document has unique metadata fields like index , type , and id that help identify its storage location and nature. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

AUGUST 24, 2016

The NOSQL column oriented database has experienced incredible popularity in the last few years. HBase is a NoSQL , column oriented database built on top of hadoop to overcome the drawbacks of HDFS as it allows fast random writes and reads in an optimized way. HBase helps perform fast read/writes.

Architecture 40

Architecture IT Hadoop NoSQL 40

Databand.ai

AUGUST 30, 2023

This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management. Data storage platforms can include traditional relational databases, NoSQL databases, data lakes, or cloud-based storage services.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

JULY 24, 2023

The system stores metadata about data which makes it easier to find and retrieve data. In a DBMS, once a set of metadata is stored in the database, it is difficult to change or update the metadata. Over time, the company decides to migrate its data to a more scalable and efficient NoSQL database system.

Database Design 52

Database Design Relational Database Database Metadata 52

ProjectPro

FEBRUARY 25, 2022

For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. Neptune Neptune is a machine learning metadata repository designed for monitoring various experiments by research and production teams.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

ProjectPro

NOVEMBER 15, 2021

On top of existing data lakes like S3, ADLS, GCS, and HDFS, Delta Lake enables ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Data Mining Tools Metadata adds business context to your data and helps transform it into understandable knowledge. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Depending on the data format supported, NoSQL repositories can be document-based for JSON-like and JSON files (MongoDB, Amazon Document DB, and Elasticsearch); key-value, representing each data element as a pair of an attribute name or key (gender, color, price, etc.)

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 15, 2014

Does not have a dedicated metadata database. 9) Hive makes use of exact variation of the SQL DLL language by defining the tables beforehand and storing the schema details in any local database whereas in case of Pig there is no dedicated metadata database and the schemas or data types will be defined in the script itself.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

AltexSoft

JULY 27, 2021

Content-based systems largely depend on the metadata of items. This can be a standard SQL database for structured data, a NoSQL database for unstructured data, a cloud data warehouse for both, or even a data lake for Big Data projects. Users get limited to items similar to those they have previously consumed.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76