WHY Zettabolt

We understand Spark inside-out. Whether it is profiling Spark for performance or whether it is optimizing its workloads to maximize cost-savings and improving performance, we have done it all many a times. We have mastered the profile-optimize loop of Spark:

PROFILE
OPTIMIZE

SPARK

PROFILING

Besides deep understanding of profilers available with various Spark distros, we deploy our own powerful super-profiler ZettaProf to extract last bit of performance and cost-savings for customer’s workloads

ZettaProf is extensible to accommodate bespoke profiling requirements for specific use cases.

SPARK

OPTIMIZATION

Spark distros expertise:

  • Open Source, Databricks, Azure Synapse, RAPIDs, EMR

Optimizations applied:

  • Resource sizing : CPUs, RAM, disk, network, parallelism

  • Right machines : Best suited machines on AWS, Azure, GCP etc.

  • Query rewrites

  • Table scan : partitioning, bucketing, skew handling, serialization, S3 slowness

  • Query : JOIN optimizations, shuffle minimization, caching etc.

SPARK IN

DATA PROCESSING FLOW

End-to-end pipelines for:

  • ETL, BI, AI/ML

  • Reading data from any source (DBs, devices etc.) and connecting to analytic tools (Looker, Tableau etc.)

Benchmarking:

  • Comparing performance across various distros, machine configurations, cloud options

  • Against other data processing options (Hive, Presto etc.)

CUSTOMER CASE STUDIES

OUR BLOGS & WHITEPAPERS


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