Qlik Lineage Connectors Brief Overview and Use Case

Qlik Lineage Connectors is a new offering that provides lineage related insights for QlikView, Qlik Sense client-managed and other on premise BI applications and data sources such as Tableau, PowerBI, Oracle, Azure SQL and Snowflake. It also offers a visual data lineage capability integrated with Qlik Sense SaaS, allowing you to see the complete history of those assets without having to access multiple systems. In this scenario I am considering migrating my Windows on-premise Qlik Sense client-managed environment over to Qlik Sense SaaS.

Streaming data into BigQuery using Storage Write API

BigQuery is a serverless, highly scalable, and cost-effective data warehouse that customers love. Similarly, Dataflow is a serverless, horizontally and vertically scaling platform for large scale data processing. Many users use both these products in conjunction to get timely analytics from the immense volume of data a modern enterprise generates.

The 5 Types of Data Processing

As the business landscape continues to evolve, companies are becoming increasingly more reliant on their data. However, before you can utilize any data for the benefit of your company, you must first process both the structured and unstructured data that you collect. While the simplest and most well-known form of data processing is data visualization, there are several different data processing methods that are commonly used to interact with data.

Why is AWS Redshift Used? Integrate.io Has the Answer

Amazon uses a lot of adjectives to describe its cloud data warehouse: AWS Redshift is "fast," "simple" and "cost-effective." It's also popular. GE, McDonald's, Bosch, Coca Cola, and countless other brands, ranging from startups to Fortune 500 companies, have added Redshift to their tech stacks. But why is AWS Redshift used? And why is it the world's No.1 cloud data warehouse? Below, learn more about what Redshift does, how it does it, and why it could be a great fit for your organization.

How Monte Carlo Built A Data Reliability Platform On Snowflake

In today's episode, Daniel Myers from Snowflake interviews Lior Gavish, co-founder of Monte Carlo. Monte Carlo is a data reliability platform built on Snowflake that helps teams trust their data by eliminating data downtime. Powered by Snowflake is a series where we interview technology leaders who are building businesses and applications on top of Snowflake.

West Midlands Police Force | Faster Data, Safer Streets

The West Midlands Police force is one of the largest in the UK — and they serve a population of 2.8 million people, which generates a lot of data on a daily basis. See how they used Cloudera to make that data accessible and unified, which allowed West Midlands Police Force to better serve their community.

Top 3 Reasons Spreadsheets Miss the Mark for Cap Table Management

Cap tables are a valuable tool for a close look at the equity capitalization within your organization. But relying on static spreadsheets makes it difficult to gain a comprehensive, real-time view of your capitalization structure. Sifting through spreadsheets manually and reconciling disconnected systems are both time-consuming and cumbersome.

Make Your AWS Data Lake Deliver with ChaosSearch (Webinar Highlights)

When CTO James Dixon coined the term “data lake” in 2011, he imagined a single storage repository where organizations could store both structured and unstructured data in their raw format until it was needed for analytics. But without the right storage technology, data governance, or analytical tools, the first data lakes quickly became “data swamps” - morasses of data with no organizational structure and no efficient way to access or extract meaningful insights.