ProjectPro

JUNE 6, 2025

It’s perfect for handling complex data, automatically validating and converting it to fit a defined schema. When used together, LangChain can leverage Pydantic to validate and structure data before sending it to a language model, ensuring data integrity and error-free interactions.

Building 40

Building Pipeline-centric Database-centric Data Validation 40

Striim

SEPTEMBER 11, 2024

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Data Ingestion 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

ProjectPro

NOVEMBER 22, 2021

What's the difference between an RDD, a DataFrame, and a DataSet? RDD- It is Spark's structural square. RDDs contain all datasets and dataframes. If a similar arrangement of data needs to be calculated again, RDDs can be efficiently reserved. appName('ProjectPro').getOrCreate() count())) df2.show(truncate=False)

Hadoop 52

Hadoop Metadata Java Python 52

Rockset

SEPTEMBER 20, 2022

On-chain data has to be tied back to relevant off-chain datasets, which can require complex JOIN operations which lead to increased data latency. Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others.

MongoDB 52

MongoDB PostgreSQL SQL Database 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. MapReduce is a Hadoop framework used for processing large datasets.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JUNE 6, 2025

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. What is Big Data?

Hadoop 40

Hadoop Big Data Metadata Java 40

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. What is Big Data?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Data Labeling Uncertain samples in a dataset may lead to uneven labeling of the entire dataset. Split your data into three sets We should have three distinct datasets of matching distribution for training, validation, and testing. The answer lies in these solved and end-to-end Machine Learning Projects in Python.

AWS 45

AWS Pipeline-centric Database-centric Machine Learning 45

ProjectPro

JUNE 6, 2025

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40

Monte Carlo

FEBRUARY 26, 2024

Large volumes of data from various sources can be connected and processed, and AI and automated algorithms help automatically detect business rules, as well as assign data quality rules automatically. With Ataccama, AI detects related and duplicate datasets. Did we miss one? Tell us in the comments.

Metadata 40

Metadata Government Data Data Governance 40

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40

Edureka

MAY 28, 2025

Choosing the Right Architecture Choosing the right data architecture, like a data warehouse, data lake, or lakehouse, relies on a number of things, such as the type of data, the processing needs, and the organization’s goals. Require high-performance SQL querying for business intelligence.

Data Lake 40

Data Lake Data Warehouse Unstructured Data Business Intelligence 40