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BI

4 Key Takeaways from Snowflake Summit

Going into Snowflake Summit 2022, I was excited to spend time with our customers and partners, and excited to be able to share some of the innovations we’ve been working on. And I was not disappointed! It felt great to experience the energy that only an in-person event can deliver. I relished talking to customers about how our products can help them meet and even surpass their business goals.

Introduction to Cloudera Edge Flow Manager

This video is a 101 introduction about Edge Flow Manager (EFM), the Cloudera Edge Management (CEM) solution for managing and monitoring Apache MiNiFi agents at scale. The video goes through all the different views of the user interface to demonstrate and explain all of the features for designing flows, publishing flows to the agents, execute remote commands, monitoring the agents, etc.

5 Embedded Analytics Pitfalls and How to Avoid Them

As the business world shifts towards an information economy, more companies are discovering the advantages of having a business intelligence (BI) solution for analytics. Embedded analytics software boosts an organization's main functionality by integrating BI tools and analytical capability directly into software applications, rather than as a separate third-party application.

Fraud Detection with Cloudera Stream Processing Part 1

In a previous blog of this series, Turning Streams Into Data Products, we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection.

Now in preview, BigQuery BI Engine Preferred Tables

Earlier in the quarter we had announced that BigQuery BI Engine support for all BI and custom applications was generally available. Today we are excited to announce the preview launch of Preferred Tables support in BigQuery BI Engine! BI Engine is an in-memory analysis service that helps customers get low latency performance for their queries across all BI tools that connect to BigQuery.

SaaS in 60 - Catalog Improvements

The Qlik Sense SaaS catalog can now include data that is stored in relational databases such as Oracle, SQL Server and Snowflake increasing data reuse, visibility and governance while expanding the types of content that data engineers and stewards can manage and distribute. It also simplifies data use as data consumers no longer need to setup data connections as they can simply browse for the data they need within the catalog.

Learn how BI Engine enhances BigQuery query performance

BigQuery BI Engine is a fast, in-memory analysis service that lets users analyze data stored in BigQuery with rapid response times and with high concurrency to accelerate certain BigQuery SQL queries. BI Engine caches data instead of query results, allowing different queries over the same data to be accelerated as you look at different aspects of the data.

The Financial Close Process

Fast and clean. These two words define the ideal financial close process. This standard is held up as a measure of a finance or accounting department’s effectiveness. Companies are expected to get the financial close process done within a standard business week. This demonstrates competence, resource efficiency, and good management. An efficient financial consolidation and close process does two vital things.