Ilya Ganelin

31 Followers

7 SlideShares 31 Followers 1 Following

7 SlideShares 31 Followers 1 Following

apex streaming data engineering spark big data storm flink durability scalability availability apache apex data mining dataframes stream processing agile snappy compression gzip best practices pipelines flume open source lz4 throughput latency apache spark core spark tuning spark configuration tuning internals apache flink apache storm pyspark spark-ts event processing vault 8 real-time

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Next-Gen Decision Making in Under 2ms

8 years ago • 8986 Views

Frustration-Reduced Spark: DataFrames and the Spark Time-Series Library

8 years ago • 5481 Views

Frustration-Reduced PySpark: Data engineering with DataFrames

8 years ago • 9562 Views

Stream Computing (The Engineer's Perspective)

7 years ago • 938 Views

How to Actually Tune Your Spark Jobs So They Work

7 years ago • 8774 Views

Your Guide to Streaming - The Engineer's Perspective

7 years ago • 362 Views

Compression talk

7 years ago • 534 Views

Project Tungsten: Bringing Spark Closer to Bare Metal

Databricks • 8 years ago

Deconstructiong Recommendations on Spark-(Ilya Ganelin, Capital One)

Spark Summit • 8 years ago

apex streaming data engineering spark big data storm flink durability scalability availability apache apex data mining dataframes stream processing agile snappy compression gzip best practices pipelines flume open source lz4 throughput latency apache spark core spark tuning spark configuration tuning internals apache flink apache storm pyspark spark-ts event processing vault 8 real-time

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