Companies these days are handling more data than ever: an average of 163 terabytes (163,000 gigabytes), according to a survey by IDG. Efficiently storing, processing and analyzing this data is essential in order to glean valuable insights and make informed business decisions. Yet the question remains: What is the best way to store enterprise data? For many use cases, the most appealing choice is a relational database.
What is multi-cloud data analytics and why are so many companies getting on board? Cloud computing itself is now a well-established best practice, but a multi-cloud strategy is nearly as common these days. While 94 percent of organizations are now using cloud computing, 84 percent are using a multi-cloud data strategy. Multi-cloud is an especially fruitful data strategy for companies pursuing data analytics.
AWS Solution Architects are in red-hot demand, and the AWS Certification is the highest-paying certification in the United States. As such, you wear many hats as a Solution Architect for Amazon Web Services. You're a problem-solver, a creative genius, a multitasker, and a big-picture thinker. And you design AWS implementations better than anyone else you know. But there are some things about being an AWS Solution Architect that aren't so rosy. Amazon's ever-changing recommendations.
2021 is set to be the year of hybrid cloud. In fact, Forbes has even listed it as one of the top 10 digital transformation trends of the year, declaring it the “winning enterprise architecture.” A multiple cloud approach does provide greater choice and greater flexibility – two major benefits at a time when agility and adaptability have never been more important. But this approach comes with greater operational complexity.
Each day, more and more companies consider opting for cloud-based solutions, and they almost always end up adopting them to some extent. While the increasing popularity of cloud services may be a significant factor in accelerating the adoption rate of cloud-based solutions, some individuals remain skeptical of migrating their applications to the cloud due to unfamiliar territory.
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.