Data Engineering Podcast

DECEMBER 18, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

OCTOBER 16, 2022

Pathway is a streaming database engine that embeds artificial intelligence into the storage, with functionality designed to support the spatiotemporal data that is crucial for shipping and logistics. Atlan is the metadata hub for your data ecosystem. What are the types of data that Pathway is designed to work with?

Database 100

Database Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 17, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares the design of the project and how it fits into your development practices. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Podcast

JUNE 26, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

JULY 24, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Data Engineering 100

Data Engineering Data Engineer Lambda Architecture Engineering 100

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Podcast

SEPTEMBER 25, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

Even when a tool is designed to integrate information as a guard against data isolation, it can easily become a silo of its own, where you have to make a point of using it to seek out information. Atlan is the metadata hub for your data ecosystem. How have the design and goals of the system changed since you first started it?

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 4, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. platform design, pipeline design, data usage, etc.)

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

DECEMBER 4, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Data Engineering Podcast

JULY 31, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 10, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

NOVEMBER 27, 2022

The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show! Stale dashboards? Missing data?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Data Engineering Podcast

JULY 3, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

JUNE 5, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

DECEMBER 25, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Atlan is the metadata hub for your data ecosystem. Again, be prepared to have metadata challenges especially.

Building 100

Building Metadata Business Intelligence Data Lake 100

Knowledge Hut

MAY 26, 2024

It was designed by Google to manage and schedule containers at scale. The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. It houses metadata and both the desired and current state for each resource. What is Kubernetes ?

Metadata 52

Metadata Certification Accessible Accessibility 52

Data Engineering Podcast

MARCH 5, 2022

Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. Now all the data users can use software engineering best practices – git, tests and continuous deployment with a simple to use visual designer. How does it work?

PostgreSQL 100

PostgreSQL MongoDB Software Engineer Software Engineering 100

Data Engineering Podcast

AUGUST 6, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. What are the primary system requirements that have influenced the design choices?

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Knowledge Hut

JULY 26, 2023

Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. What are Database Applications? Time Series Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Data Engineering Podcast

AUGUST 5, 2019

Can you start by explaining what Amundsen is and the problems that it was designed to address? Can you start by explaining what Amundsen is and the problems that it was designed to address? What was lacking in the existing projects at the time that led you to building a new platform from the ground up?

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

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. For instance, MongoDB stores data in a semi-structured pattern, Cassandra stores data in the form of columns, and Redis stores data as key-value pairs. Hive has high latency.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 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. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 19, 2023

Its ability to simplify scalable solutions design, at the same time offering high-level concurrency tools, gives it an edge over other programming languages. Thus, a Java Full stack developer is the designation used for a web developer who uses Java, a coding language, to develop the entire technology of an application.

Java 98

Java Programming Language Architecture Database 98

AltexSoft

JULY 29, 2022

Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data. A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Hadoop ecosystem evolvement.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

NOVEMBER 23, 2021

They can design and perform whatever reports and analysis they need without worrying about a data format or where it resides. When connecting, data virtualization loads metadata (details of the source data) and physical views if available. Self-service capabilities for all business users.

Process 69

Process Data Lake Metadata Data Warehouse 69

Rockset

AUGUST 2, 2023

They used MongoDB as their metadata store to capture vessel and company data. Rockset was short-listed for the evaluation as it’s designed for fast search and analytics on streaming data and takes an API first approach. All of these assessments go back to the AI insights initiative that led Windward to re-examine its data stack.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Netflix Tech

OCTOBER 31, 2018

The Media Document Model The Media Document model is intended to be a flexible framework that can be used to represent static as well as dynamic (varying with time and space) metadata for various media modalities. Timing Model We use the Media Document model to represent timed metadata for our media assets.

Media 54

Media Metadata Data MongoDB 54

Rockset

NOVEMBER 28, 2022

Rockset was designed for this exact use case. We’ve already built CDC-based data connectors for many common sources: DynamoDB , MongoDB , and more. Arcion : An enterprise CDC platform designed for scalability. AWS Data Migration Service : Amazon’s web service for data migration. Estuary : A real-time data operations platform.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Knowledge Hut

JUNE 30, 2023

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. It grants the capability to the users to retrieve, insert, update, and delete data from the designated database tables.

MySQL 52

MySQL Medical Relational Database Healthcare 52

Rockset

MAY 10, 2022

Real-Time Analytics on DynamoDB As stated previously, DynamoDB is great at retrieving data fast but isn't designed for large-scale data retrieval or complex queries. Rockset has multiple connectors available for databases like MySQL , Postgres , MongoDB , flat files and many more. What if we also wanted to show past performance?

NoSQL 52

NoSQL AWS MongoDB Datasets 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Robotic process automation Robotic process automation, or RPA is a type of software designed to perform repetitive and tedious daily operations otherwise carried out by humans. Formats belonging to this category include JSON, CSV, and XML files.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka is designed to handle numerous clients from both sides.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

MARCH 14, 2023

Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse. Designed to be modular. Some popular databases are Postgres and MongoDB. ” Well, no, you don’t ?

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

JANUARY 31, 2023

HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Scripting: Designing test cases necessitates a high level of scripting expertise. Diagnostic Solution: A custom solution is required to design and remove the bottleneck to improve performance.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 8, 2021

Oracle Data Integrator has the functionality that automatically analyzes metadata from various data stores, detects patterns, generates, and then applies data quality rules to identify any issues among actual values. IBM DataStage Designer interface. MongoDB), SQL databases (e.g., Data profiling and cleansing. Source: G2.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52