Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

Microsoft Power BI is a ubiquitous and cheap to start with business intelligence (BI) tool that can create a good foundation for analytics capabilities at any company. Similar to Tableau, the objective is to create broad adoption within an organization and replace Excel with a more powerful and structured tool.

DBS Bank leverages Unravel to identify inefficiencies across 10,000s of data applications/pipelines and guide individual developers and engineers on how, where, and what to improve—no matter what technology or platform they’re using.

One of the largest health insurance providers in the United States uses Unravel to ensure that its business-critical data applications are optimized for performance, reliability, and cost in its development environment—before they go live in production. Data and data-driven statistical analysis have always been at the core of health insurance.

A few weeks ago, I wrote a post summarizing "Seven Data Integration and Quality Scenarios for Qlik | Talend," but ever since, folks have asked if I could explain a little deeper. I'm always happy to oblige my reader (you know who you are), so let's start with the first scenario: Database-to-database synchronization.

Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.

The results are in–for the third year in a row, insightsoftware has partnered with Hanover Research to deliver our yearly Finance Team Trends Report. Comparing results across the years shows an incredible journey for finance teams across the globe. The survey included 519 senior accounting and finance professionals across North America and Europe, the Middle East, and Africa (EMEA). 52% are located in North America while 48% are in EMEA.

With the open-source Hive-BigQuery Connector, you now can let Apache Hive workloads read and write to BigQuery and BigLake tables.

Business Intelligence (BI) teams often face several resource constraints that can impact their ability to deliver their objectives effectively. They must run effective operations with limited time, resources, budget and people. The role can be incredibly challenging when multiple projects are highly prioritised, where data and reports were required yesterday. That said, there are ways to make these challenges more manageable.

Data is the invaluable currency of the digital age, holding immense importance in driving critical business decisions and guiding organizations towards success. Yet far too many neglect the mechanisms that manage our data. Data integration is one of the most important parts of digital transformation.