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Upstream

The Big Data Blog

Real-time Machine Learning: Hype vs Reality

Jul 23, 2019 2:38:27 PM / by Eran Levy posted in Data infrastructure, Machine learning, Data science, Real-time

 

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Databricks Delta Lake vs Data Lake ETL: Overview and Comparison

Jul 18, 2019 3:01:18 PM / by Ori Rafael posted in Data Lake ETL, Delta Lake, Transactional Data

 

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Introducing Upsolver Notebooks: Data Enrichment with SQL

Jul 2, 2019 3:36:39 PM / by Upsolver Team posted in Streaming Data, SQL

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IoT Analytics: Challenges, Applications, and Innovations

Jun 20, 2019 4:56:09 PM / by Upsolver Team posted in Streaming Data, Internet of Things, Data Analytics, IoT

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Upsolver Receives 2019 Rising Star and Premium Usability Awards from Finances Online

Jun 12, 2019 12:54:45 PM / by Upsolver Team posted in Awards, Finances Online

 

It’s been a busy first quarter at Upsolver! We’ve continued to foster our great relationships with world-class companies like Sisense, ironSource and The Meet Group, deepened our partnership with Amazon Web Services, and have been working on some major product updates (which we’ll be sharing soon - stay tuned). And it’s great to see our hard work paying off as Upsolver has recently received the Rising Star and Premium Usability awards from FinancesOnline!

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A Data Lake Approach to Event Stream Analytics

Jun 4, 2019 9:14:20 PM / by Ori Rafael posted in Database, Data Lake, Event Streams

 

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ETL Pipelines for Kafka Data: Choosing the Right Approach

May 30, 2019 4:44:59 PM / by Eran Levy posted in Apache Kafka, Streaming Data, ETL

If you’re working with streaming data in 2019, odds are you’re using Kafka - either in its open-source distribution or as a managed service via Confluent or AWS. The stream processing platform, originally developed at LinkedIn and available under the Apache license, has become pretty much standard issue for event-based data, spanning diverse use cases from sensors to application logs to clicks on online advertisements.

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4 Challenges of Using Databases for Streaming Data (and a Solution)

May 21, 2019 1:59:55 PM / by Eran Levy posted in Big Data, Database, Streaming Data

 

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Big Data Infrastructure: When to Build, When to Buy

May 14, 2019 4:04:53 PM / by Eran Levy posted in Big Data, Data Architecture, Data Engineering

Every software development team makes build-vs-buy decisions on a regular basis. For most coding problems, someone is offering a packaged or white-label solution. The decision whether to purchase a tool or develop an alternative in-house - to ‘build or buy’ - is typically made ad-hoc based on cost, existing engineering skillsets and organizational culture.

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Kafka vs. RabbitMQ: Architecture, Performance & Use Cases

May 7, 2019 2:42:07 PM / by Eran Levy posted in Data Architecture, Apache Kafka, RabbitMQ

 

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