Vik M

8 Followers

Highly accomplished professional with outstanding technology knowledge and demonstrated experience in both data warehouse methodologies and business intelligence practices, including data management, integration, and analytics system architecture. Exceptional Project Leader and Consultant with significant expertise throughout the entire project lifecycle, including defining objectives, defining workflow, establishing schedules/estimates, allocating resources, and generating status reports. Talent for designing and delivering multiple data warehouse, analytics, and business intelligence platforms.

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About

Realtime Analytical Query Processing and Predictive Model Building on High Dimensional Document Datasets with Timestamps: Spark Summit East talk by Debasish Das

Spark Summit • 7 years ago

Vik M

Presentations

IBM Recognition_final

Certification_535183

Likes

A Picture is Worth 1,000 Rows

Graphs for Data Science in Public Health Research

Data Sharing with Snowflake

Amazon S3 & Amazon Glacier - Object Storage Overview

BDA311 Introduction to AWS Glue

Hadoop 3 in a Nutshell

Exploring the Heated-and Completely Unnecessary- Data Lake Debate

Evolving HDFS to a Generalized Distributed Storage Subsystem

Transactional SQL in Apache Hive

Telecom Churn Analysis

AWS for Start-ups - Architectural Best Practices & Automating Your Infrastructure

Best Practices for Migrating your Data Warehouse to Amazon Redshift

Hive edw-dataworks summit-eu-april-2017

Compression Options in Hadoop - A Tale of Tradeoffs

Compression Options in Hadoop - A Tale of Tradeoffs

Hive: Loading Data

Apache Spark and Oracle Stream Analytics

A New “Sparkitecture” for Modernizing your Data Warehouse: Spark Summit East talk by Myles Collins

Building Realtime Data Pipelines with Kafka Connect and Spark Streaming: Spark Summit East Talk by Ewen Cheslack Postava

Realtime Analytical Query Processing and Predictive Model Building on High Dimensional Document Datasets with Timestamps: Spark Summit East talk by Debasish Das

Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk by Anand Iyer

Solving Real Problems with Apache Spark: Archiving, E-Discovery, and Supervision: Spark Summit talk by Jordan Volzn

Spark for Behavioral Analytics Research: Spark Summit East talk by John W u

Structuring Spark: DataFrames, Datasets, and Streaming by Michael Armbrust

Drizzle—Low Latency Execution for Apache Spark: Spark Summit East talk by Shivaram Venkataraman

Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East talk by DB Tsai

Going Real-Time: Creating Frequently-Updating Datasets for Personalization: Spark Summit East talk by Shriya Arora

Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk by Frank Austin Nothaft

New Directions in pySpark for Time Series Analysis: Spark Summit East talk by David Palaitis

Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie Strickland