SF Data Weekly - Databricks' Delta Lake, Data Products at Coursera, TimescaleDB Distributed, GCP Data Studio

At Coursera, engineers and data scientists have built many data products. They’ve learned that building a data product is a team sport. This post outlines three themes that worked well in their pursuit of this goal from an engineering perspective.

Delta Lake is an open source storage layer that brings reliability to data lakes. In this blog post Databricks shows how to reliably and efficiently transform your AWS Data Lake into a Delta Lake seamlessly using the AWS Glue Data Catalog service.

Wirecard is a Brazilian company building payment solutions for businesses. This is their journey of the development of their platform, with all the ups and downs, and how Kafka solves many of their problems.

Workload Management (WLM) configuration allows you to maximize your query throughput on Amazon Redshift. This post explains when / why you should use Redshift’s AutoWLM along with real world examples of the feature in action.

Over the last 15 years, many new databases have come to the market as part of the No-SQL movement. These include key-value stores such as Redis and Amazon DynamoDB, wide-column stores such as Cassandra and HBase, document stores such as MongoDB and Couchbase, and graph databases and search engines such as Elasticsearch and Solr. This is a high-level overview of SQL and NoSQL.

TimescaleDB, a time-series database on PostgreSQL, has been production-ready for over two years, with millions of downloads and production deployments worldwide. This month, for the first time, Timescale publicly shares their design, plans, and benchmarks for the distributed version of TimescaleDB.

This series of articles was designed to explain how to use Python in a simplistic way to fuel your company’s growth by applying the predictive approach to all your actions.

Cloud warehouses like Amazon Redshift, Google BigQuery and Snowflake have brought down the cost and complexity to build a data platform, in a shift away from Hadoop, with BI tools as the catalyst to make data exploration and visualization available to a much wider audience. This post evaluates the top business intelligence tools (BI tools) by capability & price, featuring Tableau, Chartio, Looker, Mode, Metabase, PowerBI, Qlik and Domo.

Do your clients need automated dashboards or narrative reporting? Learn how to create (and deliver) each using Google’s free Data Studio.

Blendo can be the link between your data sources and your BI platform, enabling powerful business analytics and actionable insights to power every team in their interactions with customers.