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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

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Select Star raises seed to automatically document datasets for data scientists

TechCrunch

From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results which can quickly pinpoint which columns of a dataset are most used by applications within a company and have the most queries that reference them. Photo via Select Star. Photo via Select Star.

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Manta, a data observability startup, raises $35M to grow its workforce

TechCrunch

He’s the founder of Manta , a data lineage platform that automatically scans an organization’s data sources to build a map of data flows. “Data-driven decisions can only be as good as the quality of the underlying data sets and analysis.

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Inside the Kentik Data Engine, Part 2

Kentik

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). Want to try KDE with your own network data? SELECT 168.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

In 2016, the company attrition rates were 4 percent higher over the industry benchmark. HR specialists couldn’t find out the reasons why people leave the organization because they didn’t have relevant data that would provide a multidimensional view of their workforce. So, data engineers make data pipelines work.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.