Big Data Analytics #3

• What we'll do
18:00 - 18:20 - Gathering, snacks, mingling

18:20 - 18:30 - Opening words

18:30 - 19:20 - First talk: Ido Flatow "Data Integration & Processing solutions on Google Cloud"

All data pipeline solutions have these five steps in common: ingest, store, process, analyze, and visualize. Some of you probably implement these pipelines today using OSS solutions (Apache Kafka, Apache Spark, etc.), whereas others use managed cloud services.
In this session, we'll see how to create data pipelines on GCP (Google Cloud Platform), what makes GCP's services unique, and how they are used in real-life scenarios.

Bio:
Ido Flatow is a Cloud Customer Engineer at Google, helping companies with their on-boarding to Google Cloud. Ido has over 20 years of experience in developing, architecting, training, speaking about, and writing on building software.
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19:30 - 20:10 - Second talk: Raya Belinsky "How could I have 25 hours a day"

You can't manage time, it just is. So "time management" is a mislabeled problem, which has little chance of being an effective approach.
What you really manage is your activity during time, and defining outcomes and physical actions required is the core process required to manage what you do.

The talks will be held in Hebrew.