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Timothy Spann

Principal Developer Advocate Streaming, Cloudera

Tim

Youtube Channel: https://www.youtube.com/@FLiP-Stack

See my full details here: https://github.com/tspannhw/SpeakerProfile

Tim Spann is the Principal Developer Advocate for Streaming @ Cloudera, the Big Data Zone leader and blogger at DZone and an experienced data engineer with 15 years of experience. He runs the Future of Data Princeton meetup as well as other events. He has spoken at Philly Open Source, ApacheCon in Montreal, Strata NYC, Oracle Code NYC, IoT Fusion in Philly, meetups in Princeton, NYC, Philly, Berlin and Prague, DataWorks Summits in San Jose, Berlin and Sydney.

Milvus, Unstructured Data Processing, Open Source Vector Database, towhee, Attu, Milvus CLI, Milvus Backup, Milvus Sizing Tool, feder, GPTCache, Hugging Face, Python, LLM, Pytorch, LangChain, RAG, Ollama.

Upcoming Events: Conferences, Meetups, ...

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Timothy Spann's Projects

datashader icon datashader

Turns even the largest data into images, accurately

datasimulators icon datasimulators

Package of Data Simulators including all kinds of devices and entities. Ment for you use with IOT demos

datawave icon datawave

DataWave is an ingest/query framework that leverages Apache Accumulo to provide fast, secure data access.

db icon db

A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing.

dbimport icon dbimport

DBImport ingestion tool. Handle import, export and standard ETL flows in Hadoop/Hive

dbmgr icon dbmgr

Command line tool to back up, restore, and provision development databases

dbt-impala icon dbt-impala

A dbt adapter for Apache Impala & Cloudera Data Platform

ddia-references icon ddia-references

Literature references for “Designing Data-Intensive Applications”

deep-nlp icon deep-nlp

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

deep-semantic-code-search icon deep-semantic-code-search

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

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