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AWS Athena is a critical building block in any modern data lake architecture. As an AWS native implementation of Presto, Athena offers both the Presto query engine’s versatility and tight integration with other AWS services….
Day to day, only three things matter in your analytics deployment: production SLAs, user satisfaction, and staying within budget. Like many three-factor problems, you get to pick two and have to make compromises on the…
A data lake without any users has the potential to be more of a money pit than a valuable asset. Yet once you give users access to the company data lake, you quickly discover that…
Data is flowing into the data lake, users are up and running with analytics, and you picked a managed service so you have zero DevOps costs. Yet users aren’t happy and your DataOps team keeps…
We are thrilled to share that Varada was chosen to be included in the Cool Vendors in Data Management report by Gartner, Inc. This is a strong confirmation of our approach to the market and…
As a data team, you’re drowning in demand from users requesting analytics access to your corporate data lake. There’s a good reason to welcome these requests. Having spent years investing in data collection pipelines and…
Getting your users access to analytics is just the first step in delivering on the promise of a data lake. In order to scale up to organization wide analytics, you need to make sure that…
Varada to launch agile, ‘zero data-ops’ big data platform that gives organizations full visibility, cost management and data control. We are very happy to announce that today we closed a $12 million Series A round…
Read part I of the blog here. Tackling Data Virtualization Performance Issues Presto-based AWS Athena is a good example for a zero data-ops implementation, perfect for ad hoc queries and initial experiments with data virtualization….
Data virtualization revolutionized the data infrastructure space by servingdata consumers directly on top of the data lake without the need to move data elsewhere. At its core, data virtualization was born to deliver flexibility and…
Data Lakes have emerged as the standard for big data management with data virtualization becoming the predominant approach for versatile large scale analytics. Data virtualization is achieved by layering a query engine on top of…
As data virtualization gains popularity, administrators are running into new challenges. The best solutions for virtualization are query engines such as Presto, which is highly versatile and available in hosted native implementations such as AWS…
Users are embracing data virtualization because the architecture gives direct access to any data they need. With less ETL overhead, there’s no waiting around for the data engineer team to load a separate data warehouse,…
Varada offers the new standard for data virtualization, with a smart indexing layer that runs directly on the customer data lake. Varada enables data teams to operationalize the entire data lake while ensuring interactive performance,…
We announced today that Varada, a data virtualization platform for running interactive queries, is now available on . Customers can deploy Varada’s platform in a very quick process and start running any SQL query while…
Data platform teams are consistently in need to monitor their Presto cluster performance and identify bottlenecks in order to meet data workers demand. Presto users usually optimize queries via EXPLAIN ANALYZE command or use Presto’s…
Last updated: June 14, 2020 Are you ready to get started? Click to download the Workload Analyzer. It’s free! Data architects are consistently striving to provide users with the best user experience possible (ease of…
A data silo is any data store that is in the control of a single department and is isolated from the rest of the organization. Data silos are a construct of the past; their existence…
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Due to its unique advantages, Presto has quickly become a…
In my previous post, I gave a brief history of big data evolution and reviewed the inevitable compromises one must make when choosing a big data tool. In this article, I’m happy to unveil how we…
The Big Data Evolution I’ve held leadership positions in tech companies for over 20 years. Like many others, I’ve seen how data rose dramatically in scale and importance. Unfortunately, data management has become increasingly more complex in…
Latest update: April 23, 2020 Improving JOINs in Presto by an order of magnitude By using dynamic filtering via run-time predicate pushdown, we can significantly optimize highly-selective inner-joins. Introduction Varada is a fast SQL analytics…
Varada is great for BI on the cloud Varada is a platform for fast data analytics on cloud data lakes. Which is a long way to say how much we love and help BI on…
Community, noun: “A feeling of fellowship with others, as a result of sharing common attributes, interests, and goals” The fun picture you see here was taken at the first lecture of the First international Presto summit…