The ability of a Data Lake to store vast amounts of information carries enormous potential to an enterprise. However, many organizations that employ Data Lakes struggle with BI performance against that data, resulting in individual users creating extracts that detract from the Data Lake's value.
IBM's record breaking purchase of Red Hat is a clear indicator of the opportunity in front of cloud technology providers. Enterprises that migrate data to the cloud in the near term will be able to take the greatest advantage of the cost and performance benefits of doing so.
Tableau is one of the most popular business intelligence tools on the market, and is widely used by the majority of large enterprises. An intelligent data fabric can enhance companies' tableau performance by solving three challenges that occur frequently in large tableau implementations.
Snowflake's cloud-based data warehouse enables companies to improve performance while minimizing cost when moving over from traditional data stores. AtScale's intelligent data fabric further augments the business benefits Snowflake provides.
Chief Data Officers play an increasingly important role at large organizations. While most global enterprises have hired a Chief Data Officer or plan to hire one soon, there is a lack of consensus on a CDO's mandate. It is likely that CDOs will drive cloud data transformation projects.
Businesses are using Google BigQuery, Amazon Redshift, and Microsoft Azure to host vast quantities of data. Much of this data remains unused due to slow time to insight. AtScale alleviates the causes of slow time to insight, which enables businesses to derive more value from their data.
AtScale's machine learning allows enterprises to efficiently use business intelligence tools with Amazon's cloud storage solutions. AtScale provides an opportunity for enterprises to save on AWS costs by enabling them to keep more data in S3 without compromising performance.
Cloud environments such as Google BigQuery are the optimal solution for big data workloads due to their ability to easily deliver elastic computing and storage at relatively low cost. AtScale employs aggregation to help enterprises using BigQuery further reduce their storage and processing costs.
Big Data have been able to provide enterprises competitive advantage and reduce operational costs across a wide variety of scenarios. However, setting up a big data environment is not for the faint-hearted, or is it?
Wonder what happened in June in the world of Big Data? Check out this blog for what you might have missed in June 2018.
We did it again! The AtScale team was present at the Dataworks Summit 2018 in San Jose, California. We hope you had the opportunity to be part of this great event and attended the great sessions that we suggested. If you missed the event, don’t worry, we have prepared a great summary for you.
When we started AtScale 5 years ago, there were just 5 of us, driven by the desire to change the way enterprises deliver analytics to the business.
This post will dive deeper into the core components of the cloud data lake and show how customers are now able to deliver modern, agile business intelligence on top of the data stored in these lakes.
Announcing AtScale Cloud, try AtScale on Amazon AWS, Google Cloud Launcher and Microsoft Azure.
Wonder what happened in May in the world of Big Data? Check out this blog for what you might have missed in May 2018.