Knowledge Hut

NOVEMBER 3, 2023

If you want to learn data science, consider enrolling in the top Data Science courses in India to gain practical skills and expertise in this rapidly evolving field. What is MongoDB for Data Science? There are several benefits to MongoDB for data science operations. Why Use MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 81

Data Lake Data Warehouse Hadoop Data Architecture 81

Striim

NOVEMBER 8, 2023

The Data Mesh architecture is based on four core principles: scalability, resilience, elasticity, and autonomy. Data mesh technology also employs event-driven architectures and APIs to facilitate the exchange of data between different systems.

Architecture 52

Architecture Generalist Government Datasets 52

ProjectPro

FEBRUARY 8, 2023

You can produce code, discover the data schema, and modify it. Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. They have customer information stored in Amazon Aurora.

AWS 98

AWS Scala Metadata Data Lake 98

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. The first module retrieves key-value data from the storage system.

Lambda Architecture 66

Lambda Architecture Datasets Software Engineer Software Engineering 66

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 94

Media Database Metadata Data Schemas 94

Rockset

SEPTEMBER 20, 2022

Embedded content: [link] NFT and Crypto Price Analysis Although blockchain data is open for anyone to see, it can be difficult to make that on-chain data consumable for analysis. Each individual smart contract can have a different data schema, making data aggregation challenging when analyzing hundreds or even thousands of contracts.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Cloud Academy

JANUARY 27, 2022

What does a data engineer do – details The architecture that a data engineer will be working on can include many components. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools. Rely on the real information to guide you.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Monte Carlo

APRIL 20, 2023

What are the data lineage use cases and best practices that will drive value for the business? What are the data lineage use cases and best practices that will drive value for the business? Data lineage can help surface and route alerts to the appropriate owners on both data team and business stakeholder sides of the house.

Data Warehouse 52

Data Warehouse BI Data Government 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data.

AWS 52

AWS Data Schemas Accessible Accessibility 52

Monte Carlo

JUNE 9, 2022

We believe every data team needs Snowflake observability. Fast And Furious Nitros GIF from Fast And Furious GIFs Data observability is an organization’s ability to fully understand the health of the data in their systems and eliminate data downtime. What should you do next?

IT 52

IT Healthcare Raw Data Data Warehouse 52

ProjectPro

NOVEMBER 22, 2021

One of the limitations of dataframes is Compile Time Wellbeing, i.e., when the structure of information is unknown, no control of information is possible. DataSet (A subset of DataFrames)- It has the best encoding component and, unlike information edges, it enables time security in an organized manner. appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40