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How Much Should I Be Spending On Observability?

Honeycomb

Part 2: Observability cost drivers and levers of control I recently wrote an update to my old piece on the cost of observability , on how much you should spend on observability tooling. Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. The answer, of course, is its complicated. Really, really complicated.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. This gets to the heart of the question of who business intelligence is for.

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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business analytics, this is the purview of business intelligence (BI).

Analytics 203
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Sightfull, a startup that tracks key business activities, raises $18M

TechCrunch

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Currently, Sightfull has roughly a dozen SaaS customers, including Wiz and storage hardware startup VAST Data.

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Building a Beautiful Data Lakehouse

CIO

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Challenges of supporting multiple repository types. Learn more at [link]. .

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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

Complete visual integration tools eliminate the need for hand coding in SQL or java-based MapReduce jobs. Save data costs and boost analytics performance. The company saves on storage costs and speeds-up query performance and access to their analytic data mart. Hadoop Made Simple, Accessible and 15X Faster. The Results.

Big Data 119
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Quick Guide to Building an ETL Pipeline Process

The Crazy Programmer

It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository. Distinct tools that establish the connection are required for data extraction from sources.