October 21, 2021

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by: Deiby Gómez

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Categories: Data, Security, Snowflake, Snowflake Computing, Uncategorized

Snowflake is one of the most popular Software-as-a-Service (SaaS) solutions to store and process the data of your whole organization. It’s a pioneer in data management, which is why Snowflake places a high value on security. Imagine  you are pulling data from different databases and sources in your organization, and you are centralizing all this [...]
Event Storming is the creation of Alberto Brandolini, a lightweight but powerful workshop approach for software development and domain-driven design. Using sticky notes, experts like software developers and product designers work together at an accelerated pace to focus, rethink, reframe, and bounce ideas off each other. Event Storming is a methodology meant to: Be quick, [...]

October 30, 2019

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by: Renee Miller

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Categories: Data, Data Visualization, Looker

Looking at Looker, Part 2 By Renee Miller and Victoria Davis Why should we talk about Looker? With Looker JOIN19 a week away, we thought we’d dive deeper into the Looker platform (See Part 1 here). Earlier this year, Google Cloud announced a plan to buy Looker for $2.6 billion, making it even more of a [...]

October 16, 2019

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by: Travis Brannan

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Categories: Code, Data, Redshift

The easy way Before I learned how to load only the columns I needed from DynamoDB into Redshift, I created an entire glue job to load a single table. I’d like to prevent you from making the same mistake. But to understand how much easier the easy way is, you will first need to understand how [...]

August 7, 2019

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by: Stewart Bryson

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Categories: Analytics, Data, Gradle, Kafka

This blog, Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations, was originally posted on the Confluent Blog on May 29, 2019. See the original source here. In part 1, we discussed an event streaming architecture that we implemented for a customer using Apache Kafka®, KSQL from Confluent, and Kafka Streams. Now [...]

January 24, 2019

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by: Mike Fuller

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Categories: Data, Snowflake, Snowflake Computing, StreamSets, Uncategorized

How to use the Snowflake Data Warehouse destination in StreamSets Data Collector to replicate an OLTP database StreamSets Data Collector offers incredible flexibility while creating data integration pipelines by allowing developers to either create a custom stage (an origin, processor, executor, or destination) completely from scratch, tailor a universal stage to a specific requirement, or use [...]

December 10, 2018

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by: Mike Fuller

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Categories: Analytics, Data, OBIEE, Snowflake

How to dynamically set a Snowflake virtual warehouse Congratulations! You just configured Oracle Business Intelligence Enterprise Edition (OBIEE) to connect to your freshly loaded Snowflake Data Warehouseinstance and you’re feeling pretty good. Maybe your OBIEE dashboards are finally meeting SLAs, you’re not sitting with a DBA trying to tune SQL statements, your data is finally all in one [...]

December 3, 2018

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by: angie.brown

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Categories: Data, Data Science, Oracle Cloud

Blending Data in Oracle Analytics Cloud allows us to share additional dimensions or measures from one data set with those from another, without having to do complicated metadata modeling using RPD functionality. This is a great feature for user-sourced categorizations and can empower users to utilize Data Visualization instead of forcing them to export into […]