Bootstrap a Modern Data Stack in 5 minutes with Terraform - Aug 6, 2021.
What is a Modern Data Stack and how do you deploy one? This guide will motivate you to start on this journey with setup instructions for Airbyte, BigQuery, dbt, Metabase, and everything else you need using Terraform.
BigQuery, Cloud, Data Warehousing, dbt, Modern Data Stack
- In-Warehouse Machine Learning and the Modern Data Science Stack - Jun 24, 2021.
As your organization matures its data science portfolio and capabilities, establishing a modern data stack is vital to enabling such growth. Here, we overview various in-data warehouse machine learning services, and discuss each of their benefits and requirements.
Amazon Redshift, Analytics, BigQuery, Cloud, Data Science, Data Warehouse, Machine Learning, Modern Data Stack
- BigQuery vs Snowflake: A Comparison of Data Warehouse Giants - Jun 3, 2021.
In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.
BigQuery, Data Warehouse, Snowflake
- Apache Spark on Dataproc vs. Google BigQuery - Jul 15, 2020.
This post looks at research undertaken to provide interactive business intelligence reports and visualizations for thousands of end users, in the hopes of addressing some of the challenges to architects and engineers looking at moving to Google Cloud Platform in selecting the best technology stack based on their requirements and to process large volumes of data in a cost effective yet reliable manner.
Apache Spark, BigQuery, Google
- 7 “Gotchas” for Data Engineers New to Google BigQuery - Mar 28, 2019.
Here are some things that might take some getting used to when new to Google BigQuery, along with mitigation strategies where I’ve found them.
BigQuery, Data Engineer, Data Engineering, Google
- Webinar: How Google BigQuery and Looker Can Accelerate Your Data Science Workflow, Sep 19. - Sep 17, 2018.
Join Looker for this webcast, Sep 19, 2 PM EST, where you will learn how you can leverage Looker with the power of BigQuery Machine Learning (BQML) to build machine learning (ML) models directly where your data lives.
BigQuery, Data Science, Looker, Machine Learning, Workflow
- Webinar: How Google BigQuery and Looker Can Accelerate Your Data Science Workflow, Sep 19 - Sep 10, 2018.
Join Looker for this webcast, Sep 19, 2 PM EST, where you will learn how you can leverage Looker with the power of BigQuery Machine Learning (BQML) to build machine learning (ML) models directly where your data lives.
BigQuery, Data Science, Looker, Machine Learning, Workflow
- BigQuery vs Redshift: Pricing Strategy - Jul 17, 2018.
In this blog post, we’re going to break down BigQuery vs Redshift pricing structures and see how they work in detail.
Amazon Redshift, BigQuery, Pricing, Statsbot
- Choosing Between Modern Data Warehouses - Jun 28, 2018.
Most of the modern data warehouse solutions are designed to work with raw data. It allows to re-transform data on the fly without a need to re-ingest your data stored in a warehouse.
Amazon Redshift, BigQuery, Data Warehouse, Statsbot
ETL vs ELT: Considering the Advancement of Data Warehouses - May 22, 2018.
The traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.
BigQuery, Data Warehouse, ELT, ETL, Statsbot
- Loading Terabytes of Data from Postgres into BigQuery - Apr 9, 2018.
Despite the fact that an ETL task is pretty challenging when it comes to loading Big Data, there’s still the scenario in which you can load terabytes of data from Postgres into BigQuery relatively easy and very efficiently.
BigQuery, ETL, NoSQL, Postgres, SQL, Statsbot
- Looker: Exploring the Census, Aug 11 Webinar - Aug 3, 2016.
We will dig into 20 years of Census voting data that we have loaded into Google BigQuery and modeled in Looker. You can ask anything you're interested and we will look it up, live.
BigQuery, Data Preparation, Looker, US Census
- Which Database is best for an Analyst? - Dec 10, 2015.
Database comparisons usually look at architecture, cost, scalability, and speed, but rarely address the other key factor: how hard is writing queries for these databases? We examine which of the top 8 databases are easiest to use.
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Amazon Redshift, Apache Hive, BigQuery, Data Analyst, Databases, MySQL, NoSQL, SQL Server, Vertica
- Google BigQuery Public Datasets - Feb 20, 2015.
Google BigQuery is not only a fantastic tool to analyze data, but it also has a repository of public data, including GDELT world events database, NYC Taxi rides, GitHub archive, Reddit top posts, and more.
BigQuery, GDELT, Google, New York City, Reddit
- GDELT: Big Data of News, Conflicts, and Society - Sep 29, 2014.
What is happening in this world today? Obviously, it is impossible for us to read and analyze billions of news reports published every day. GDELT is designed to record, analyze, visualize and even forecast our planet.
Big Data, BigQuery, GDELT, Google, Kalev Leetaru, Ran Bi
- Top KDnuggets tweets, Mar 12-13: Machine learning explained in 10 pictures; Tutorial: Using Google BigQuery - Mar 14, 2014.
Machine learning explained in 10 pictures. The most important: Bias vs Variance; A Tutorial example: Using Google BigQuery with R; Visualizing Google Analytics Data With R; Exploratory Data Analysis on Udacity: Investigate, Visualize, and Summarize Data Using R.
Bias, BigQuery, Google, Google Analytics, Machine Learning, R, Udacity, Variance
