How to Offload ETL from Redshift to Xplenty

Amazon Redshift is great for real-time querying, but it's not so great for handling your ETL pipeline. Fortunately, Xplenty has a highly workable solution. Xplenty can be used to offload ETL from Redshift, saving resources and allowing each platform to do what it does best: Xplenty for batch processing and Redshift for real-time querying. Redshift is Amazon’s data warehouse-as-a-service, a scalable columnar DB based on PostgreSQL.

5 Customer Data Integration Best Practices

For the last few years, you have heard the terms "data integration" and "data management" dozens of times. Your business may already invest in these practices, but are you benefitting from this data gathering? Too often, companies hire specialists, collect data from many sources and analyze it for no clear purpose. And without a clear purpose, all your efforts are in vain. You can take in more customer information than all your competitors and still fail to make practical use of it.

Data governance beyond SDX: Adding third party assets to Apache Atlas

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. It is crucial to avoid that CDP becomes the next silo in your IT landscape.

7 ways to improve your eCommerce customer data collection.

In the last year, businesses have lost $756 billion because of poor eCommerce personalization. Customers have become accustomed to a tailored digital service. Unless you start gathering data about your customers and improving their online shopping experience, customers will walk their wallets to your competitor, who will offer them a better service. We will look at 7 use cases of how to better collect customer data in your eCommerce and put it to good use. Don’t worry.

The Route to Automated Remediation

An abundance of information can be daunting for any company. If internal teams do not know where the data is, it might hamper their efficiency at the cost of data quality and cleanliness. From a cost-effectiveness viewpoint, organizations are likely to waste excessively by hanging on to redundant data or storing varied data in one location irrespective of their sensitivity level.

The Road to Zero Touch Goes Through Machine Learning

The telecom industry is in the midst of a massive shift to new service offerings enabled by 5G and edge computing technologies. With this digital transformation, networks and network services are becoming increasingly complex: RAN, Core and Transport are only a few of the network’s many layers and integrated components. Today’s telecom engineers are expected to handle, manage, optimize, monitor and troubleshoot multi-technology and multi-vendor networks.

Now Generally Available, Snowflake's Search Optimization Service Accelerates Queries Dramatically

Snowflake customers want to discover insights from their data faster than ever, which is challenging because data volumes are growing at a breakneck pace. Effective searches are critical to customer satisfaction. Today, we’re excited to announce the general availability of search optimization, which significantly improves the performance of selective queries on large tables.