Hybrid Data
You have so much data. It's time to put it to work. Learn all of the benefits you can realize with an effective big data strategy at cloudera.com
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
ETL Methodologies: A Guide to Our Data Warehouse Integration Platform
Without data integration processes like ETL, today's businesses would hardly be able to make sense of the constant streams of data flowing into their tools. Of course, even though ETL is widely recognized as mission-critical to data management and business intelligence (BI) initiatives, that doesn't mean it's the most straightforward process to implement. For those looking to better understand how ETL can help their business, or what similar integration methodologies exist, this is the guide you need.
How to Connect ThoughtSpot to Amazon Redshift Serverless
Many businesses rely on Amazon Redshift Serverless for their cloud data warehouse and ThoughtSpot to derive insights from the data stored within. For this blog, I’m going to show you how to create a connection between Amazon Redshift Serverless and ThoughtSpot. It’s easy to connect Redshift with ThoughtSpot whether you have it running as a cluster which you have provisioned, or serverless.
Best practices of migrating Hive ACID Tables to BigQuery
Are you looking to migrate a large amount of Hive ACID tables to BigQuery? ACID enabled Hive tables support transactions that accept updates and delete DML operations. In this blog, we will explore migrating Hive ACID tables to BigQuery. The approach explored in this blog works for both compacted (major / minor) and non-compacted Hive tables. Let’s first understand the term ACID and how it works in Hive. ACID stands for four traits of database transactions.
I took Redshift Serverless for a spin - here's what I found
Today’s cloud data platforms have to be simple to use and provide an intuitive user experience while not sacrificing key features and functionality.
Snowpark API Demo | A Look Under The Hood
Get a crash course in Snowpark API featuring two Snowflake Senior Software Engineers. After a Snowpark component overview, they will demo how DataFrame operations work and how to create and schedule a data pipeline written in Python using Stored Procedures, UDFs and more which can be applied to Java and Scala.
Best Dashboard Visualization Tools According to 30 Experts
Dashboard visualization tools allow you to quickly scan the data and see your progress on specific goals. Here’s our list of top choices.
Powering The Sales Organization with Actionable Insights - Part II
As virtual selling and digital buying continues to grow, data, insights and timely action are becoming more valuable than ever.
Get more value from Customer 360 initiatives
Without healthy customer data, departments from sales and marketing to product can’t access the full value of customer relationships. It’s time to change that. With Talend as your partner, overcome bad customer data and make Customer 360 possible. Join us to learn the keys to building a healthy data environment.
Fraud Detection with Cloudera Stream Processing
This video shows how Cloudera DataFlow powered by Apache NiFi solves the first-mile problem by making it easy and efficient to acquire, transform, and move data so that we can enable streaming analytics use cases with very little effort. It will also briefly discuss the advantages of running this flow in a cloud-native Kubernetes deployment of Cloudera DataFlow. Then, we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required).