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BI STRATEGY FROM A BIRD’S EYE VIEW | BI and Analytics Demystified |Omri Halak, Director of Business Operations at Logz.io

In the talk we will discuss how to break down the company’s overall goals all the way to your BI team’s daily activities in 3 simple stages:

1. Understanding the path to success – Creating a revenue model
2. Gathering support and strategizing – Structuring a team
3. Executing – Tracking KPIs

Bios:

Omri Halak -Omri is the director of business operations at Logz.io, an intelligent and scalable machine data analytics platform built on ELK & Grafana that empowers engineers to monitor, troubleshoot, and secure mission-critical applications more effectively. In this position, Omri combines actionable business insights from the BI side with fast and effective delivery on the Operations side. Omri has ample experience connecting data with business, with previous positions at SimilarWeb as a business analyst, at Woobi as finance director, and as Head of State Guarantees at Israel Ministry of Finance.

Structuring a Strategy: Creating a BI & Analytics Business Plan

Sunday, Jul 21, 2019, 6:00 PM

Google for Startups Campus
Ha-Umanim St 12 Tel Aviv-Yafo, IL

154 Members Went

Learn how to make a structured business plan for your analytics and BI operations that will add value to your bottom line. Agenda: 18:00 PM – Networking 18:30 PM – MAKING YOUR ANALYTICS TALK BUSINESS, by Eliza Savov, Team Lead, Customer Experience and Analytics at Clicktale 19:15 – Break 19:30 PM – BI STRATEGY FROM A BIRD’S EYE VIEW, by Omri Halak,…

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Google BigQuery Demystified

I have gathered everything , I think a person should know about BigQuery.

The presentation was built based on real needs for organized knowledge sharing .

I hope this proved useful to other people as well, let me know if you have question or comments.

some FAQ’s will updated here on this post from time to time

How to create a table in BigQuery with Partitioning and clustering via DDL command?

The following code snippet is the answer, however, be very careful about what you choose as cluster fields as this may cause unintended performance and costs penalties

CREATE TABLE my_dataset.new_clustered_table 
( 
date DATE, 
field_a STRING, 
field_b STRING, 
field_c STRING, 
field_d STRING, 
field_e STRING ) 
PARTITION BY date 
CLUSTER BY field_a, field_b 
OPTIONS ( description="a_table clustered_by_two_fields" ) 

this BigQuery create table example is also committed in your github

some relevant docs:

[1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#creating_a_clustered_table_from_the_result_of_a_query 

[2]: https://cloud.google.com/bigquery/docs/clustered-tables

 [3]: https://cloud.google.com/bigquery/docs/creating-clustered-tables#limitations

How to do something like show create table in BigQuery?

the short answer: you cant. The good news: there is a work around.

SELECT * FROM `myProjecId1234.MyDataSet.Table_Schema` 

where table_schema ='MyDataSet' and table_name ='MyTable'

The example is also committed in our GitHub

A good read about BigQuery implementation in Twitter:

https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/democratizing-data-analysis-with-google-bigquery.html

NoSQL@Extreme Performance,take your NoSQL to the Next Level | Big Data Demystified

Bio:
Zohar is a technology evangelist and an expert in data technologies with over 20 years of experience.
At his current position, Zohar is a Solutions Architect for Aerospike – a low latency-high throughput big scale database.
Before that, Zohar was an Oracle ACE, CTO and consultant technical lead at Brillix, and the director for databases, big data and BI at Glasshouse Technologies.

Abstract/description:

Building a low latency (sub millisecond), high throughput database that can handle big data AND linearly scale is not easy – but we did it anyway…
In this session we will get to know Aerospike, an enterprise distributed primary key database solution.

– We will do an introduction to Aerospike – basic terms, how it works and why is it widely used in mission critical systems deployments.
– We will understand the ‘magic’ behind Aerospike ability to handle small, medium and even Petabyte scale data, and still guarantee predictable performance of sub-millisecond latency
– We will learn how Aerospike devops is different than other solutions in the market, and see how easy it is to run it on cloud environments as well as on premise.

We will also run a demo – showing a live example of the performance and self-healing technologies the database have to offer.

Want more information from an official AeroSpike representative?

Just fill the following form and someone will get back to you:

https://forms.gle/3DmGjtt3LrRR4Pnz9

NoSQL@Extreme Performance,take your NoSQL to the Next Level|Big Data Demystified

Monday, Jul 1, 2019, 6:00 PM

Investing.com
Ha-Shlosha St 2 Tel Aviv-Yafo, IL

58 Members Went

18:00 networking 18:30 “AI & BIG DATA IN HEALTH SECTOR-OPPORTUNITIES & SECURITY / PRIVACY CHALLENGES”, Alexander Raif, Chief security and Privacy architect at Maccabi Health care HMO. [Spoken language – English ] 19:15 break 19:20 “NoSQL at Extreme Performance – taking your NoSQL to the Next Level” Zohar Elkayam, Solutions Architect at Aerospike ET…

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AI and Big Data in Health Sector Opportunities and challenges | Big Data Demystified

“AI & BIG DATA IN HEALTH SECTOR-OPPORTUNITIES & SECURITY / PRIVACY CHALLENGES”

Lecturer has Deep experience defining Cloud computing, security models for IaaS, PaaS, and SaaS architectures specifically as the architecture relates to IAM. Deep Experience Defining Privacy protection Policy, a big fan of GDPR interpretation.

DeelExperience in Information security, Defining Healthcare security best practices including AI and Big Data, IT Security and ICS security and privacy controls in the industrial environments.
Deep knowledge of security frameworks such as Cloud Security Alliance (CSA), International Organization for Standardization (ISO), National Institute of Standards and Technology (NIST), IBM ITCS104 etc.

What Will You learn:
Every day, the website collects a huge amount of data. The data allows to analyze the behavior of Internet users, their interests, their purchasing behavior and the conversion rates. In order to increase business, big data offers the tools to analyze and process data in order to reveal competitive advantages from the data.
What Healthcare has to do with Big Data
How AI can assist in patient care?
Why some are afraid? Are there any dangers?

AI & Big Data in Health Sector-Opportunities & challenges | Big Data Demystified

Monday, Jul 1, 2019, 6:00 PM

investing
hashelosha st 2, Tel Aviv, Tel Aviv-Yafo Tel Aviv-Yafo, al

211 Members Went

18:00 networking 18:30 “AI & BIG DATA IN HEALTH SECTOR-OPPORTUNITIES & SECURITY / PRIVACY CHALLENGES”, Alexander Raif, Chief security and Privacy architect at Maccabi Health care HMO. [Spoken language – English ] 19:15 break 19:20 “NoSQL at Extreme Performance – taking your NoSQL to the Next Level” Zohar Elkayam, Solutions Architect at Aerospike ET…

Check out this Meetup →