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No-code business intelligence service y42 raises $2.9M seed round

TechCrunch

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 y42 founder and CEO Hung Dang.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Gema ParreƱo Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. She started her own startup (Cubicus) in 2013. Twitter: [link] Linkedin: [link].

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The rise of the data lakehouse: A new era of data value

CIO

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 350
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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. How data engineering works under the hood.

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What is OLAP: A Complete Guide to Online Analytical Processing

Altexsoft

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types. What is data pipeline. Extract, transform, load or ETL process guide.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Not long ago setting up a data warehouse ā€” a central information repository enabling business intelligence and analytics ā€” meant purchasing expensive, purpose-built hardware appliances and running a local data center. As such, it is considered cloud-agnostic. Source: Snowflake. Query processing layer.