phanirajl Goto Github PK

spark_cassandra_examples

sparkcassandra

Spark 2.3.2 and Cassandra 3.11.4 integration ReadTable and WriteTable using SparkDataframe

sparkcassandracombine

sparkcassandrajavaexamples

Simple example of Spark application that connects with Cassandra data source

sparkcassandrajoin

sparkreadfiletest

스파크에서 Resource 파일 읽기 테스트

sparkstreamingexample

sperf

Datastax Enterprise and Apache Cassandra diagnostic tooling from DataStax

spring-batch-cassandra

Spring Batch With Cassandra

spring-boot-cassandra

A simple example with Springboot and Cassandra

spring-boot-data-cassandra-examples

spring boot data cassandra examples

spring-cassandra

spring_boot_cassandra_crud

springbootcass-advanced

springbootcass-dseent

Using Spring Boot and DataStax Enterprise java driver for data access with Cassandra

sstable

Reading cassandra 3.x sstable

sstable-importer

In this project I will show how can we generate SSTable from a .csv or Cassandra and import back in Cassandra using generated SSTables by just importing SSTables

sstable-tools

Tools for parsing, creating and doing other fun stuff with sstables

sstableconverter

Converts sstableconverter between Cassandra partitioners (RandomPartitioner and Murmur3Partitioner)

starwars-character-service

Live demo code from DataStax Accelerate 2019

stock-alerts

Personal alert system based on technical analysis indicators from stock market.

stock-algo-model

Created simple ANN to predict stock prices on the S&P 500 using time-series historical data.

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

stock-prediction

stock-prediction-using-tensorflow

A timeseries prediction task to predict the future prices of a stock using tensorflow.

stock_analysis

stock_signals

💹my own set of stock signal scripts

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stream-reactor

Streaming reference architecture for ETL with Kafka and Kafka-Connect. You can find more on http://landoop.com on how we provide a unified solution to manage your connectors, most advanced SQL engine for Kafka and Kafka Streams, cluster monitoring and alerting, and more.

structuredstreamingtocassandra

Structured stream from Kafka to Cassandra