Michael Greenshtein

Israel Contact Info
2K followers 500+ connections

Join to view profile

Activity

Join now to see all activity

Experience & Education

  • Amazon Web Services (AWS)

View Michael’s full experience

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Licenses & Certifications

Publications

  • Combine AWS Glue and Amazon MWAA to build advanced VPC selection and failover strategies

    AWS Big Data Blogs

    In the blog you can learn about advanced technics of how to use Amazon Managed Workflows for Apache Airflow to minimize chances of errors in your AWS Glue ETL jobs in the event of AZ outage or IP address exhaustion. The blog provides practical guidance, CloudFormation template and code snippets so you can get up to speed quickly.

    Other authors
    See publication
  • AWS Analytics Talks: Athena Iceberg (Hebrew)

    AWS

    Amazon Athena ACID transactions, a new capability that adds write, delete, update, and time travel operations to Athena's SQL data manipulation language (DML). Athena ACID transactions enables multiple concurrent users to make reliable, row-level modifications to their Amazon S3 data. in this video we explain the value and benefits of Apache Iceberg for ACID transactions as well as demo the different capabilities which you can leverage using the familiar Amazon Athena console, API, ODBC/JDBC…

    Amazon Athena ACID transactions, a new capability that adds write, delete, update, and time travel operations to Athena's SQL data manipulation language (DML). Athena ACID transactions enables multiple concurrent users to make reliable, row-level modifications to their Amazon S3 data. in this video we explain the value and benefits of Apache Iceberg for ACID transactions as well as demo the different capabilities which you can leverage using the familiar Amazon Athena console, API, ODBC/JDBC drivers.

    See publication
  • AWS Analytics Talks: Amazon Kinesis Data Firehose Dynamic Partitioning (Hebrew)

    AWS Online Tech Talks

    Amazon Kinesis Data Firehose dynamic partitioning simplifies the ingestion of streaming data into Amazon S3 data lakes, by automatically partitioning data in transit before it’s delivered to Amazon S3. This makes the datasets immediately available for analytics tools to run their queries efficiently and enhances fine-grained access control for data. in this video, we explain the benefits of dynamic partition and demo how you can start using it.

    See publication
  • Kinesis Data Firehose now supports dynamic partitioning to Amazon S3

    AWS Big Data Blog

    Kinesis Data Firehose dynamic partitioning simplifies the ingestion of streaming data into Amazon S3 data lakes, by automatically partitioning data in transit before it’s delivered to Amazon S3

    Other authors
    See publication
  • Seamlessly Shutting Down Asynchronous Components With Amazon Autoscaling

    Medium.com

    Blog describes the process of graceful scale down of instances with aws autoscaling and lifecycle hooks.

    See publication

Languages

  • Hebrew

    Native or bilingual proficiency

  • Russian

    Native or bilingual proficiency

  • English

    Full professional proficiency

Recommendations received

More activity by Michael

View Michael’s full profile

  • See who you know in common
  • Get introduced
  • Contact Michael directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses