Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas. Good Hold on MongoDB and data modeling. Experience with ETL tools and data integration techniques.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Towards Data Science

JANUARY 17, 2024

One of its neat features is the ability to store data in a compressed format, with snappy compression being the go-to choice. Another cool aspect of Parquet is its flexible approach to data schemas. This adaptability makes it super user-friendly for evolving data projects. Plus, there’s the _delta_log folder.

Big Data 70

Big Data Data Data Storage SQL 70

Towards Data Science

NOVEMBER 4, 2023

Introduction to Apache Iceberg Tables Simplified data integrations Managed solutions like Fivetran and Stitch were built to manage third-party API integrations with ease. These days many companies choose this approach to simplify data interactions with their external data sources.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). Knowledge graphs for enterprise data integration. General scenarios of using knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 52

Striim

NOVEMBER 8, 2023

This allows for two-way integration so that information can flow from one system to another in real-time. Striim is a cloud-native Data Mesh platform that offers features such as automated data mapping, real-time data integration, streaming analytics, and more.

Architecture 52

Architecture Generalist Government Datasets 52

Monte Carlo

APRIL 20, 2023

This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich. Data access and enablement Data lineage is essential to data quality, but that is far from its only use case. Analyze your current schema and lineage.

Data Warehouse 52

Data Warehouse BI Data Government 52

Monte Carlo

FEBRUARY 6, 2023

Facilitating self-service data? Integrating new tooling? Governance What data is being housed and the requirements of your business and industry will determine the level and types of governance policies you’ll need to implement. But just to be safe, here are a few tips: Document your current data schema and lineage.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. It also discusses several kinds of data.

Big Data 52

Big Data Hadoop AWS Relational Database 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