Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j
KDnuggets
DECEMBER 9, 2021
In this article, we will be analyzing a dataset of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.
neo4j 
Tutorial: Import Relational Data Into Neo4j with Apache Hop - Neo4j Output
know.bi
JUNE 22, 2022
This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). This guide was inspired by the original Neo4j Northwind tutorial. The actual data loading is done with the Neo4j functionality in Apache Hop.
MySQL 
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Leading the Development of Profitable and Sustainable Products
All About the Kafka Connect Neo4j Sink Plugin
Confluent
FEBRUARY 28, 2019
Today, you can grab the Kafka Connect Neo4j Sink from Confluent Hub. . Neo4j extension – Kafka sink refresher. We’ve been using the work we did for the Kafka sink – Neo4j extension and have made it available via remote connections over our binary bolt protocol. Testing the Kafka Connect Neo4j Sink.
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87 Webinars
How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
Import Relational Data Into Neo4j with Apache Hop - Graph Output
know.bi
JUNE 29, 2022
This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools.
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Navigating Knowledge Graphs - Creating Cypher Queries with LLMs by Ben Heyman
Scott Logic
MAY 15, 2024
Cypher is the chosen querying language for Neo4j, one of the most prominent graph database providers around. I passed the schema in a text format into the LLM, and this produced some Cypher queries for me to input into Neo4j to create the nodes. By telling it how it’s an expert in Neo4j and Cypher it can take on this persona.
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How to Build a Knowledge Graph with Neo4J and Transformers
KDnuggets
NOVEMBER 26, 2021
Learn to use custom Named Entity Recognition and Relation Extraction models.
Building 154
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Top Stories, Nov 22-28: Most Common SQL Mistakes on Data Science Interviews
KDnuggets
NOVEMBER 29, 2021
Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.
Data Science 101
101 
Defining A Strategy For Your Data Products
Data Engineering Podcast
OCTOBER 22, 2023
To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links CXData Labs Dimensional Modeling The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: Neo4J : 
Using Data To Illuminate The Intentionally Opaque Insurance Industry
Data Engineering Podcast
OCTOBER 8, 2023
Get all of the details and try the new product today at [dataengineeringpodcast.com/rudderstack]([link] Neo4J : 
Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable
Data Engineering Podcast
OCTOBER 15, 2023
NODES Conference Logo]([link] NODES 2023 is a free online conference focused on graph-driven innovations with content for all skill levels. Its 24 hours are packed with 90 interactive technical sessions from top developers and data scientists across the world covering a broad range of topics and use cases.
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Building ETL Pipelines With Generative AI
Data Engineering Podcast
OCTOBER 1, 2023
Get all of the details and try the new product today at [dataengineeringpodcast.com/rudderstack]([link] Neo4J : 
Top Stories, Nov 22-28: Most Common SQL Mistakes on Data Science Interviews
KDnuggets
NOVEMBER 29, 2021
Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.
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Using Graph Processing for Kafka Stream Visualizations
Confluent
AUGUST 29, 2019
If you’re looking for the basics on how you can turn streams into graphs with Neo4j and the Neo4j-Streams plugin, you’ve come to the right place. Step 1: Graph the network with Neo4j. We’ll be using Neo4j, which is a native graph database. Neo4j Streams lets Neo4j act as either a source or sink of data from Kafka.
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Data Engineering Annotated Monthly – April 2022
Big Data Tools
MAY 19, 2022
Analyzing the Panama Papers With Neo4j: Data Models, Queries, and More – Graph databases are extremely useful, but few of us have a lot of experience with them. That is why this example from the creators of Neo4j was so insightful for me. In addition, typical examples of using graph databases are oversimplified.
Data Engineering Annotated Monthly – April 2022
Big Data Tools
MAY 19, 2022
Analyzing the Panama Papers With Neo4j: Data Models, Queries, and More – Graph databases are extremely useful, but few of us have a lot of experience with them. That is why this example from the creators of Neo4j was so insightful for me. In addition, typical examples of using graph databases are oversimplified.
What "Data Lineage Done Right" Looks Like And How They're Doing It At Manta
Data Engineering Podcast
JULY 31, 2022
To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Manta Egeria OpenLineage Podcast Episode Apache Atlas Neo4J Easytrieve The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast
IT 100
100 
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Data Engineering Podcast
MARCH 18, 2018
Contact Info @xeraa on Twitter xeraa on GitHub Website Email Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Links Elastic Vienna – Capital of Austria What Is Developer Advocacy? Links Elastic Vienna – Capital of Austria What Is Developer Advocacy?
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Building A Knowledge Graph Of Commercial Real Estate At Cherre
Data Engineering Podcast
APRIL 6, 2020
__init__ Interview DBT The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast Summary Knowledge graphs are a data resource that can answer questions beyond the scope of traditional data analytics.
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Charting the Path of Riskified's Data Platform Journey
Data Engineering Podcast
JULY 10, 2022
Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.
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100 
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Data Engineering Podcast
MARCH 11, 2018
Links Database Refactoring Website Book Thoughtworks Martin Fowler Agile Software Development XP (Extreme Programming) Continuous Integration The Book Wikipedia Test First Development DDL (Data Definition Language) DML (Data Modification Language) DevOps Flyway Liquibase DBMaintain Hibernate SQLAlchemy ORM (Object Relational Mapper) ODM (Object Document (..)
Database 100
100 
Enabling Version Controlled Data Collaboration With TerminusDB
Data Engineering Podcast
JANUARY 11, 2021
Links TerminusDB TerminusHub Chem Informatics Type Theory Graph Database Trinity College Dublin Sesshat Databank analytics over civilizations in history PostgreSQL DGraph Grakn Neo4J Datomic LakeFS DVC Dolt Persistent Succinct Data Structure Currying Prolog WOQL TerminusDB query language RDF JSON-LD Semantic Web Property Graph Hypergraph Super Node (..)
PostgreSQL 100
100 
Solving Data Discovery At Lyft
Data Engineering Podcast
AUGUST 5, 2019
__init__ Episode LinkedIn Slack Marquez S3 Hive Presto Podcast Episode Spark PostgreSQL Google BigQuery Neo4J Apache Atlas Tableau Superset Alation Cloudera Navigator DynamoDB MongoDB Druid The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast
PostgreSQL 100
100 
The Role of Database Applications in Modern Business Environments
Knowledge Hut
JULY 26, 2023
Neo4j): Graph databases are designed to manage densely linked data and place emphasis on the links between things. Neo4j is a well-known graph database that excels at handling densely connected data. Social networking, recommendation systems, fraud detection, and knowledge graphs are just a few of the applications that employ Neo4j.
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Metadata Management And Integration At LinkedIn With DataHub
Data Engineering Podcast
AUGUST 24, 2020
To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Links DataHub Map/Reduce Apache Flume LinkedIn Blog Post introducing DataHub WhereHows Hive Metastore Kafka CDC == Change Data Capture Podcast Episode PDL LinkedIn (..)
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100 
How to make ChatGPT do anything you want by Charlie Olive
Scott Logic
APRIL 7, 2024
I have used a dataset of games from that period in a Neo4j graph database. With the LLM’s new ability to extract the teams mentioned in the user’s utterance, find the data related to those teams and bundle it up in a well written response we can now successfully ask about a specific football game.
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Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44
Data Engineering Podcast
AUGUST 19, 2018
Contact Info @manishrjain on Twitter manishrjain on GitHub Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?
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100 
Announcing Confluent Cloud for Apache Kafka as a Native Service on Google Cloud Platform
Confluent
APRIL 9, 2019
Elastic, MongoDB, DataStax, InfluxData, and Neo4j are also working with Google to make their services native to GCP. It will offer the same seamless Google sign-up experience, in addition to billing and first-line support provided directly by Google Cloud.
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Jobprofil des Data Engineers
Data Science Blog: Data Engineering
DECEMBER 23, 2022
Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J. Andere Arten von Datenbanken, sogenannte NoSQL -Datenbanken beruhen auf Dateiformaten, einer Spalten- oder einer Graphenorientiertheit.
Data Engineer Learning Path, Career Track & Roadmap for 2023
ProjectPro
JANUARY 19, 2022
Along with this, you will learn how to perform data analysis using GraphX and Neo4j. Below, we mention a few popular databases and the different softwares used for them. You will learn different types of Databases like Hbase, Cassandra, Graph Databases and understand how to pick one for a given kind of database.
Designing A Non-Relational Database Engine
Data Engineering Podcast
APRIL 14, 2024
Links RavenDB RSS Object Relational Mapper (ORM) Relational Database NoSQL CouchDB Navigational Database MongoDB Redis Neo4J Cassandra Column-Family SQLite LevelDB Firebird DB fsync Esent DB? Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.
Data Sharing Across Business And Platform Boundaries
Data Engineering Podcast
FEBRUARY 11, 2024
Links Bobsled OLAP == OnLine Analytical Processing Cassandra Podcast Episode Neo4J FTP == File Transfer Protocol S3 Access Points Snowflake Sharing BigQuery Sharing Databricks Delta Sharing DuckDB Podcast Episode The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: Starburst : !
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An Exploration Of The Data Engineering Requirements For Bioinformatics
Data Engineering Podcast
SEPTEMBER 19, 2021
Links Bioinformatics How Perl Saved The Human Genome Project Neo4J AWS Parallel Cluster Datashader R Shiny Plotly Dash Apache Parquet Dask Podcast Episode HDF5 Spark Superset Data Engineering Podcast Episode Podcast.__init__
Data Engineering 100
100 
Data Engineering Weekly #131
Data Engineering Weekly
MAY 21, 2023
Microsoft writes about customer journey analytics using Neo4j. Microsoft: Using graphs to model and analyze the customer journey Graph analytics have wide and exciting applications in data analytics. Representing analytical data in graph vs. relational data structure is a quest for many.
ACID vs BASE Concepts
Data Science Blog: Data Engineering
SEPTEMBER 24, 2021
Redis, CouchDB, MongoDB, Cosmos DB, Cassandra, ElasticSearch, Neo4J, OrientDB or ArangoDB are just some popular examples. BASE Databases While ACID databases are mostly RDBMS, most other database types, known as NoSQL databases, tend more to conform to BASE principles. But other than ACID, BASE is not a strict approach.
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Knowledge Graph Technologies Accelerate and Improve the Data Model Definition for Master Data
Zalando Engineering
JULY 28, 2021
2 We are using Neo4J to create these human-readable images about the mappings, since it has, in our opinion, the best look-and-feel in the current landscape of knowledge graph technologies. These business concepts have attributes as well as relationships with other concepts.
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52 
Learning All About Wi-Fi Data with Apache Kafka and Friends
Confluent
MAY 27, 2020
Recently, I’ve been looking at what’s possible with streams of Wi-Fi packet capture (pcap) data. I was prompted after initially setting up my Raspberry Pi to capture pcap data and […].
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122 A Guide to the Confluent Verified Integrations Program
Confluent
AUGUST 19, 2019
Longtime partner Neo4J wrote a blog post about their connector (also on GitHub ) and will be working closely with us to make sure their integration evolves in tandem with their solution. Neo4j and Confluent share a customer base that is determined to push the boundaries of detecting data connections as interactions and events occur.
Programming 15
15 
Data Collection for Machine Learning: Steps, Methods, and Best Practices
AltexSoft
JUNE 26, 2023
Apache HBase and Apache Cassandra are well-known columnar technologies belonging to the Hadoop big data ecosystem; graph, intended for graph structures where data points are connected through defined relationships — like in Neo4J, Amazon Neptune, and OrientDB.
How to grab the high-paying jobs in todays Big Data and Cloud Computing field?
ProjectPro
JUNE 17, 2015
The big data phenomenon is just incomplete without the use of popular NoSQL databases like MongoDB, Cassandra, HBase Neo4j, CouchDB, Riak and Redis. According to Dice, the number of big data jobs for professionals with experience in a NoSQL databases like MongoDB, Cassandra and HBase has increased by 54% since last year.
Exploring ksqlDB with Twitter Data
Confluent
DECEMBER 23, 2019
When KSQL was released, my first blog post about it showed how to use KSQL with Twitter data. Two years later, its successor ksqlDB was born, which we announced this […].
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?? On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data
Confluent
OCTOBER 16, 2019
Kafka Connect is used to stream the data from the enriched topics through to the target systems: Elasticsearch. Amazon S3 ( Google Cloud Storage and Azure Blob Storage connectors are also available). Postgres (the JDBC sink supports any other RDBMS too).
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Preventing Fraud at Robinhood using Graph Intelligence
Robinhood
MARCH 4, 2024
While we conducted benchmarks using popular graph databases (Neo4j, Neptune, DynamoDB), we opted for DynamoDB due to several factors – Horizontal Scalability, with seamless scaling based on demand and a pay-per-request model to keep costs low. This approach involves computing features on read-operations rather than write-operations.
Top Emerging Data Visualization Companies to Work in 2024
Knowledge Hut
DECEMBER 27, 2023
501 -1000 ) 10 Kanda Software Software Development $50 -$99 / Hour Employees with huge experience, and has specialization in 4 project types ( 201 - 500 ) 27 iTransition Software Development and Cloud Computing $ 30 - $99 / Hour Full project support, customization, and development and Experience in several service types.
100+ Data Engineer Interview Questions and Answers for 2023
ProjectPro
JULY 27, 2021
E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Since non-RDBMS are horizontally scalable, they can become more powerful and suitable for large or constantly changing datasets. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.
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