Introducing the Hive-BigQuery open-source Connector
With the open-source Hive-BigQuery Connector, you now can let Apache Hive workloads read and write to BigQuery and BigLake tables.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics
CDP Private Cloud | Cloud-native analytics on-premises
In this demo, you'll learn how CDP Private Cloud, Cloudera's on-premises private open data lakehouse leverages Kubernetes technology to deliver cloud-native data storage, processing, and analytics capabilities in and air-gapped environment. We also delve into example modern data use cases that can run on CDP Private Cloud today, including large language models for training in-context enterprise AI, running an air-gapped data lakehouse with Apache Iceberg, and all your data can be underpinned by Apache Ozone for object storage akin to cloud storage.
Salesforce Data Enrichment: What You Need to Know
Your CRM software is the backbone of your business, empowering sales reps and marketing teams with valuable customer insights. Salesforce, the world's leading CRM software with nearly 20 percent market share, offers a wealth of features and functionality that many organizations have yet to fully explore.
Moving Data From MySQL to Redshift: 4 Ways to Replicate Your Data
MySQL is the most popular open-source and free database in the world because it is powerful, flexible, and extremely reliable. But when it comes to data analytics, many companies turn to Amazon Redshift to complement MySQL. There are several ways to replicate your MySQL data to Redshift. But first, let’s dig a little deeper into why you should replicate your MySQL database to Redshift.
Running a BI Team with limited resources
Business Intelligence (BI) teams often face several resource constraints that can impact their ability to deliver their objectives effectively. They must run effective operations with limited time, resources, budget and people. The role can be incredibly challenging when multiple projects are highly prioritised, where data and reports were required yesterday. That said, there are ways to make these challenges more manageable.
Creating BI data pipelines at speed
Data is the invaluable currency of the digital age, holding immense importance in driving critical business decisions and guiding organizations towards success. Yet far too many neglect the mechanisms that manage our data. Data integration is one of the most important parts of digital transformation.
Navigating the Cloud: Insights from our recent webinar with Google Cloud
Discover the key challenges organizations face during cloud migration and explore actionable solutions to unlock the full potential of the cloud for your business.
Data-Led Growth: How FinTechs Win with App Event Analytics
In the rapidly shifting world of financial technology (FinTech), acquiring and retaining new customers to achieve long-term business growth requires a proactive approach to user experience and application performance optimization. As FinTech companies compete against rivals to grow a user base and revolutionize how consumers manage their finances, they increasingly depend on data-driven insights to optimize their mobile applications and deliver exceptional user experiences.
Yellowfin vs Grafana Helix: Which is Best for BMC Smart Reporting Users?
Bundled as part of the BMC Remedy suite, Smart Reporting has been used by almost 1,000 global companies to deliver insights on their IT and Service Management Ops. What you may not know is Yellowfin has powered BMC Smart Reporting for 10 years. Many of these organizations have used the powerful self-service analytics of Yellowfin to implement tailored reporting specific to their unique business processes and needs - as well as leveraging the great out-of-the-box content provided in Smart Reporting.
How to Manage Risk with Modern Data Architectures
The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure.