Presto is a popular, open source, distributed SQL engine that enables organizations to run interactive analytic queries on multiple data sources at a large scale. Caching is a typical optimization technique for improving Presto query performance. It provides significant performance and efficiency improvements for Presto platforms. Caching avoids expensive disk or network trips to refetch data by storing frequently accessed data in memory or on fast local storage, speeding up overall query execution. In this article, we provide a deep dive into Presto’s caching mechanisms and how you can use th ..read more

Presto! It’s not only an incantation to excite your audience after a magic trick, but also a name being used more and more when discussing how to churn through big data. While there are many deployments of Presto in the wild, the technology — a distributed SQL query engine that supports all kinds of data sources — remains unfamiliar to many developers and data analysts who could benefit from using it. In this article, I’ll be discussing Presto: what it is, where it came from, how it is different from other data warehousing solutions, and why you should consider it for your big data solutions ..read more

Based in San Mateo, California, Rakuten Rewards is a shopping rewards company that makes money through affiliate marketing links across the web. In return, members earn reward points every time they make a purchase through a partner retailer and get cash back rewards. Naturally this drives a lot of user insight data – hundreds of terabytes on active recall with more in cold storage, to be exact. [ Also on InfoWorld: Snowflake review: A data warehouse made better in the cloud ] In 2018 the business started to get serious about giving more users access to this insight – without having Pytho ..read more

Big data remains a big deal, but that fact is somewhat obscured by the recent stumbling of its former poster children: Cloudera, Hortonworks, and MapR. Once the darlings of data, able to raise gargantuan piles of cash—Intel pumped $766 million into Cloudera in just one investment round!—the heavyweights have been forced to skinny down, whether by merging (Cloudera and Hortonworks) or cutting heads (MapR). To read this article in full, please click here (Insider Story ..read more

A distributed file system, a MapReduce programming framework, and an extended family of tools for processing huge data sets on large clusters of commodity hardware, Hadoop has been synonymous with “big data” for more than a decade. But no technology can hold the spotlight forever. To read this article in full, please click here (Insider Story ..read more

Billed as a cloud-native data platform for analytics, AI, and machine learning, Qubole offers solutions for customer engagement, digital transformation, data-driven products, digital marketing, modernization, and security intelligence. It claims fast time to value, multi-cloud support, 10x administrator productivity, a 1:200 operator-to-user ratio, and lower cloud costs. To read this article in full, please click here(Insider Story ..read more

From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks in the world. Spark can be deployed in a variety of ways, provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning, and graph processing. You’ll find it used by banks, telecommunications companies, games companies, governments, and all of the major tech giants such as Apple, Facebook, IBM, and Microsoft. Out of the box, Spark can run in a standalone cluster mode that simp ..read more

Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success but always challenging to implement. To read this article in full, please click here(Insider Story ..read more

Cloud killed the fortunes of the Hadoop trinity—Cloudera, Hortonworks, and MapR—and that same cloud likely won’t rain success down on HPE, which recently acquired the business assets of MapR. While the deal promises to marry “MapR’s technology, intellectual property, and domain expertise in artificial intelligence and machine learning (AI/ML) and analytics data management” with HPE’s “Intelligent Data Platform capabilities,” the deal is devoid of the one ingredient that both companies need most: cloud. To read this article in full, please click here ..read more

Big data remains a big deal, but that fact is somewhat obscured by the recent stumbling of its former poster children: Cloudera, Hortonworks, and MapR. Once the darlings of data, able to raise gargantuan piles of cash—Intel pumped $766 million into Cloudera in just one investment round!—the heavyweights have been forced to skinny down, whether by merging (Cloudera and Hortonworks) or cutting heads (MapR).To read this article in full, please click here(Insider Story ..read more