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Business Intelligence tooling showdown

Xebia

Recently, I tried out different tools in the Business Intelligence (BI) space in order to find one that suited my needs. At Qxperts, one of the things we help our customers with is assessing their software development process and make suggestions to improve their outcomes. Open source. Easy to run. High reuse. no tree map.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. Databricks technology partners. Databricks lakehouse platform architecture.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

To help her, Banon developed a search engine for her recipe collection. This endeavor would unwittingly plant the seeds for Elasticsearch, a technology that today drives data search and analytics for businesses around the globe. But like any technology, it has its share of pros and cons. What is Elasticsearch?

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Learn more about the good and the bad of Kubernetes in our dedicated article. Here are some of the possible use cases.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. Modern data pipeline with Snowflake technology as its part. Data warehousing in a nutshell. What is Snowflake?

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Comparison between traditional and machine learning approaches to demand forecasting.

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Product Development for Non-Technical CEOs

iTexico

Product Development for Non-Technical CEOs. Being the non-technical founder at the head of a code-centric work environment can feel like you’re a fish out of water. Do not let yourself be pulled into the mindset that the design and direction your company will take should be left to those with a technical background.