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AI, ML & Data Engineering

Why a Serverless Data API Might Be Your Next Database

In this article, author Pieter Humphrey discussed database as a service (DBaaS) and serverless data API for cloud based data management.

Pieter Humphrey
on May 05, 2021
AI, ML & Data Engineering

Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.

Ben Stopford
on Nov 16, 2020 1
Development

Interview with RavenDB Founder Oren Eini

RavenDB is a NoSQL document database with multi-document ACID transactions and smart document compression. To learn more about the recent RavenDB 5 release and RavenDB in general, we’ve invited Oren Eini, creator of RavenDB and CEO of Hibernating Rhinos, to join us.

Dylan Schiemann Oren Eini
on Aug 31, 2020
AI, ML & Data Engineering

Applied Probability - Counting Large Set of Unstructured Events with Theta Sketches

In this article, author Ronen Cohen discusses the solution to processing the event data using Theta Sketches and technologies like HBase and Kafka.

Ronen Cohen
on Jun 29, 2020
Development

Book Review: Developer, Advocate!

Developer, Advocate! is a set of interviews with prominent technologists, covering what drives their interest and enthusiasm in the industry. The brevity of each interview provides direct information and insight that can be read separately at any time, in any order, enabling those with busy schedules to read, put down, and repeat.

Erik Costlow Geertjan Wielenga Jennifer Reif
on Jan 14, 2020
AI, ML & Data Engineering

How to Use Redis TimeSeries with Grafana for Real-Time Analytics

In this article, author Roshan Kumar discusses how a purpose-built database like RedisTimeSeries can be used to manage time-series data. He also shows how to visualize this data in a Grafana dashboard.

Roshan Kumar
on Nov 13, 2019 1
AI, ML & Data Engineering

Postgres Handles More Than You Think

Thinking about scaling beyond Postgres with a data store like Redis or Elasticsearch? Think again before adopting a complex infrastructure. Postgres can scale for heavy loads and offers powerful features which are not obvious at first sight. For example, it's possible to enable in-memory caching, text search, specialized indexing, and key-value storage. Article

Jason Skowronski
on Sep 27, 2019 1
Culture & Methods

Understanding Serverless: Tips and Resources for Building Servicefull Applications

There are still many misconceptions and concerns regarding serverless solutions. Vendor lock-in, tooling, cost management, cold starts, monitoring and the development lifecycle are all hot topics where serverless technologies are concerned. This article shares tips and resources to guide serverless newcomers towards building powerful, flexible and cost-effective serverless applications.

Christopher Paton
on Jul 08, 2019 1
AI, ML & Data Engineering

How to Use Open Source Prometheus to Monitor Applications at Scale

In this article, the author discusses how to collect metrics and achieve anomaly detection from streaming data using Prometheus, Apache Kafka and Apache Cassandra technologies.

Paul Brebner
on Jun 20, 2019
AI, ML & Data Engineering

Real-Time Data Processing Using Redis Streams and Apache Spark Structured Streaming

Structured Streaming, introduced with Apache Spark 2.0, delivers a SQL-like interface for streaming data. Redis Streams enables Redis to consume, hold and distribute streaming data between multiple producers and consumers. In this article, author Roshan Kumar walks us through how to process streaming data in real time using Redis and Apache Spark Streaming technologies.

Roshan Kumar
on May 13, 2019 3
AI, ML & Data Engineering

Back to the Future with Relational NoSQL

This article outlines some of the consistency issues NoSQL databases have with distributed transactions, showing how FaunaDB has solved the problems using the Calvin protocol and a virtual clock.

Evan Weaver
on Dec 04, 2018 4
AI, ML & Data Engineering

Spark Application Performance Monitoring Using Uber JVM Profiler, InfluxDB and Grafana

In this article, author Amit Baghel discusses how to monitor the performance of Apache Spark based applications using technologies like Uber JVM Profiler, InfluxDB database and Grafana data visualization tool.

Amit Baghel
on Nov 18, 2018