*This talk was first presented at http://www.meetup.com/Bay-Area-Apache-Flink-Meetup/events/225673273/* Enterprise users today demand the ability to glean insights from their disparate data spread across varied transactional and analytics sources; hence, analytics application developers need the ability to connect to varied data & compute engines such as Spark, Flink, Cassandra, etc. A key pain point for developers is the lack of a uniform API across data & compute engines, a limitation which adversely impacts developer productivity, while also restricting dataflow across different engines. DDF (Distributed DataFrame) is a simple but powerful API above and across multiple engines. Using DDF, developers reap significant benefits including (1) a unified and highly productive API for data/compute access, (2) the ability to process data at-source, bypassing the absolute requirement for a Hadoop data lake, and (3) future-proofing against rapidly shifting economics of specific data engines. To date, DDF has been implemented on Spark, Flink, and other engines. In this talk we demonstrate, for the first time, a business-analyst-friendly realtime data exploration and visualization system working directly with Flink. We will show how a business user can enter natural-language questions of his/her data and get real-time answers from Flink, in the form of visual charts and tables. We’ll also show interaction with the DDF-on-Flink API at the developer level, and share our experience on the challenges and lessons learned in realizing this vision on Flink, and compare and contrast that with the same experience on Spark. Speakers: Christopher Nguyen, Co-Founder and CEO, Arimo Rohit Rai, Founder and CEO of Tuplejump

1. Collaborative Predictive Intelligence
via DDF-on-Flink using Distributed DataFrame
Christopher Nguyen, PhD—CEO & Co-Founder, Arimo
Rohit Rai—CEO, Tuplejump
Bringing BigApps to Flink
@arimoinc@pentagoniachttp//ddf.io

2. @arimoinc@pentagoniachttp//ddf.io
Who Are We?
What Do We Do?

3. @arimoinc@pentagoniachttp//ddf.io
What Are Adatao Big Apps?
§ Predictive: Predictive Analytics for Business Users
§ Collaborative: Real-time Collaboration with Data Scientists

4. @arimoinc@pentagoniachttp//ddf.io
Demo

5. @arimoinc@pentagoniachttp//ddf.io
The EXPLOSION
of Data & Compute engines
The CIO Challenge
ScalaClient
Scala
JavaClient
Java
PyClient
Python
RClient
R
Ignite
HDFS
S3
Redshift
BigQ
Cassandra
RDBMS
Spark
Flink
Presto
Ignite
HDFS
S3
Redshift
BigQ
Cassandra
RDBMS
Spark
Flink
Presto
Ignite
HDFS
S3
Redshift
BigQ
Cassandra
RDBMS
Spark
FlinkPresto
ScalaClient
Scala
PyClient
Python
JavaClient
Java
RClient
R
FlinkFlink
Ignite
HDFS
RDBMS
Redshift
Cassandra HDFS RDBMS
HDFS
Flink

6. @arimoinc@pentagoniachttp//ddf.io
Scala Java Python R
DDF
Spark Flink
DDF
Ignite
DDF
Data in Memory
Presto
DDF
Data at Rest
HDFS
DDF
DWs DBs
Enterprise Data Bus
DDF
S3
DDF
Redshift
DDF
BigQ
DDF
Cassandra
DDF
RDBMS
The Solution: DDF Data Integration

7. @arimoinc@pentagoniachttp//ddf.io
Benefits of DDF Data Integration
§ FOR DATA ENGINEERS
§ Unified API across data sources and engines
§ HDFS, S3, Cassandra, Redshift, BigQuery, RDBMS, Salesforce,
Spark, Flink, Ignite …
§ FOR DATA SCIENTISTS
§ Uniform high-level DataFrame abstractions: ETL, ML, Streaming

8. @arimoinc@pentagoniachttp//ddf.io
Custom
Apps
Adatao AppBuilder
Adatao PredictiveEngine
Arimo Predictive Intelligence Platform
Big Compute
Big Data
Big Apps
Distributed DataFrame (DDF)
Open
Sourced
Data ScientistBusiness User Data Engineer

9. @arimoinc@pentagoniachttp//ddf.io
Why Flink?
§ Emerging engine with unique strengths (e.g., streaming)
§ Driven by Customer & Partner conversations

10. @arimoinc@pentagoniachttp//ddf.io
Demo

11. @arimoinc@pentagoniachttp//ddf.io
Java Python R
DDF DDF DDF
Spark Flink Redshift
Spark APIs
RDD
DataFrame
DStream
…
Flink APIs
DataSet
Table
DataStream
…
ETL
Interfaces
ML
Interfaces
Streaming
Interfaces
Unified DDF APIs
DDF: “Under the Hood”

12. @arimoinc@pentagoniachttp//ddf.io
DDF API in a Nutshell
// To start working with an engine
DDFManager manager = DDFManager.get(“flink”); // or “spark”
// Then, data can be loaded into a DDF as follows:
DDF table = manager.sql2ddf("select * from airline");
// ETL, transform
table = table.transform("dist= round(distance/2, 2)”);
// Run Machine learning using MLlib, then run prediction
KMeansModel kmeansModel = (KMeansModel) ddf.ML.train("kmeans", 5, 5).getRawModel();
Int prediction = ddf.ML.applyModel(kmeansModel, false, true);

13. @arimoinc@pentagoniachttp//ddf.io
Demo

14. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ It was easy for us to implement DDF on Flink
§ Flink API close to functional collection API

15. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ With DDF, it’s easy to port applications on DDF from one engine to another

16. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ There’s now an opportunity to use Flink for interactive applications
§ Backtracking scheduler, session management, better graph analysis

17. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ Null/missing value handling in Flink
§ Null value support needed in RowSerializer

18. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ Map vs MapPartitions vs Accumulators
§ Map for aggregations can cause a lot of object creation overhead
§ Accumulators may fail for huge datasets

19. @arimoinc@pentagoniachttp//ddf.io
Lessons Learned
§ Use caution when doing array copy overs in Table API

20. @arimoinc@pentagoniachttp//ddf.io
DDF: Where is it heading?
§ More Engines: DBs & DWs: BigQuery, Cassandra, Teradata, Presto, Ignite
§ Enterprise Databus to seamlessly move data across sources
§ Richer APIs

21. @arimoinc@pentagoniachttp//ddf.io
Get Started with DDF
§ Increase your productivity & build engine-agnostics Apps
• Build your analytics apps on existing modules
• Flink, Spark, JDBC
§ Expand possibilities. Contribute to DDF
• Enrich existing plugins: Data APIs, ML APIs...
• Add new DDF plugins:
• BigQuery, Cassandra
• Marketo
• Ignite, Presto
§ Spread the word!
www.ddf.io/gettingstarted

22. Collaborative Predictive Intelligence
via DDF-on-Flink using Distributed DataFrame
Christopher Nguyen, PhD—CEO & Co-Founder, Arimo
Rohit Rai—CEO, Tuplejump
Bringing BigApps to Flink
@arimoinc@pentagoniachttp//ddf.io