In this blog series, we will cover how Amazon Redshift and Sumo Logic deliver best-in-class data storage, processing, analytics, and monitoring. In this first post, we will discuss how Amazon Redshift works and why it is the fastest growing cloud data warehouse in the market, used by over 15,000 customers around the world. When an organization gains traction, the size of data that needs to be stored, monitored, and analyzed expands exponentially.

Hive and Spark are two very popular and successful products for processing large-scale data sets. In other words, they do big data analytics. This article focuses on describing the history and various features of both products. A comparison of their capabilities will illustrate the various complex data processing problems these two products can address.

Starting this week, we will do a series of four blogposts on the intersection of Spark with Kubernetes. The first blog post will delve into the reasons why both platforms should be integrated. The second will deep-dive into Spark/K8s integration. The third will discuss usecases for Serverless and Big Data Analytics. The last post will round off with insights on best practices.

Apache Flume helps organizations stream large log files from various sources to distributed data storage like Hadoop HDFS. This article focuses on the features and capabilities of Apache Flume and how it can help applications efficiently process data for reporting and analytical purposes.

Reporting software is a part of a Business Intelligence or BI suite and is used for analysis in early data processing. The purpose of self-service reporting software is to help deliver interactive information that can be put into action. Self-service reporting software allows the user to connect data sources, extract data and present it in various formats of visualization, including charts, tables, and spreadsheets.

Many organizations today use a collection of Business Intelligence (BI) tools and applications to allow experts to gather and analyze information from disparate sources across various lines of businesses to meet enterprise wide information gathering and analysis needs required for the reporting and monitoring of business activities.

They say knowledge is power and today, there is no greater source of knowledge than data. It is well documented that businesses produce a vast amount of data whether it be in manufacturing, IT, UX, Marketing, Sales or Finance. Collectively, all of this data can provide you with business intelligence, enabling you to optimize decisions, improve collaboration, and increase overall performance.