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

TechCrunch

But as data continues to grow in scale and complexity, it’s becoming scattered across apps and platforms — often leading to problems where it concerns data quality. 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.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. So here are some of the reasons control towers are actually being developed. To buy or build?

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. More time for development of new models.

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The state of data quality in 2020

O'Reilly Media - Ideas

Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Data analysis.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Supply chain management process. Cost control.