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Komprise raises $37M to help companies index, manage and transform data

TechCrunch

In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. “Komprise can move data as it ages to lower-cost storage such as object storage in the cloud and policies can also be set to delete data after a period.

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Lumada Video Insights And DataOps Add Value to Video Assets

Hu's Place - HitachiVantara

According to Stratistics MRC , the global video surveillance market stood at $19.51 Video data is the most underutilized source of data today. Video data is IoT data and it is massive. Even though a lot of surveillance data is over written when the storage gets full, Video data is still growing at over 330 PB per day.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This will simplify further reading.

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5 Technical Reasons for a Cloud Analytics Migration

Datavail

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Oracle Specialized Partner for Business Intelligence.

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Data Lakehouse: Concept, Key Features, and Architecture Layers

Altexsoft

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Data lake.

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Structured vs Unstructured Data: Compared and Explained

Altexsoft

The examples of unstructured data vary from imagery and text files like PDF documents to video and audio files, to name a few. On top of that, structured data doesn’t normally require much storage space. DW are central data storages used by companies for data analysis and reporting. or video files (MP4, WMV, etc.),

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Tackling large user traffic with Ajay Sampat, Sr. Engineering Manager, Lyft

Hacker Earth Developers Blog

I started my career working on block storage and supercomputers at HITACHI. I took those learnings to the telecommunication vertical with TextNow building out the Business Intelligence and growth teams building products on user segmentation and insights, attribution, lifetime value prediction, experimentation, user engagement. .