InData @ MonzobyLuke SinghamAn introduction to Monzo’s data stackThe modern data stack is a collection of rapidly evolving technologies that together provide a platform for analytics.Oct 18, 20217Oct 18, 20217
InK2 Data Science & EngineeringbyTy ShaikhBig Data Systems 101Let’s talk about what big data is and what are the common types of big data architecture.Jan 15, 2019Jan 15, 2019
Deephaven Data LabsDeephaven at a glanceBelow, we break down Deephaven’s differentiators and value propositions, and place them in the context of the use cases they serve, so that…Oct 11, 2021Oct 11, 2021
InAmobee EngineeringbyYishuang LUMigrating from Hive to Delta Lake + Hive in Hybrid Cloud EnvironmentEverything about migration from Hive to Delta Lake + HiveJan 10, 2020Jan 10, 2020
Eran LevyEscaping ETL Hell: 5 Signs You Need a Big Data ArchitectureMentioning the words “migration” or “database refactoring” to a typical DBA is unlikely to help you make new friends. Most organizations…Aug 27, 2018Aug 27, 2018
InNeo4j Developer BlogbyJohn SwainAn analysis of Twitter Influencers in the field of Data Science & Big DataObjectiveOct 16, 20153Oct 16, 20153
InITNEXTbyJavier RamosProcessing Engines for Big DataComparison of processing engines for big data: Spark, Flink, Storm…Oct 29, 2020Oct 29, 2020
Vladimir FedakBlockchain and Big Data: the match made in heavensBig Data has been around for a while and blockchain technology currently rides the hype wave. What results can the concoction of these two…Feb 21, 20182Feb 21, 20182
Roman LeventovDesign of a Cost Efficient Time Series Store for Big DataAfter writing about the challenges of running Druid at large scale (part 2), I want to present my vision of the next generation open source…Nov 29, 20175Nov 29, 20175
InTDS ArchivebyPier Paolo IppolitoBig Data Analysis: Spark and HadoopIntroduction to Big Data and the different techniques employed to handle it such as MapReduce, Apache Spark and Hadoop.Jul 11, 20194Jul 11, 20194
Vladimir FedakTop 4 Popular Big Data Visualization ToolsReading the streams of numbers is possible only in the movies. In the real world, the businesses have to use data visualization tools to…Jan 9, 20183Jan 9, 20183
InTDS ArchivebyStephanie ShenDesign Principles for Big Data PerformanceThe evolution of the technologies in Big Data in the last 20 years has presented a history of battles with growing data volume. The…Sep 30, 20193Sep 30, 20193
InTDS ArchivebyJacopo TagliabueFrom Big Data to micro-services: how to serve Spark-trained models through AWS lambdasA quick and Pythonic way to power endpoints with pre-trained Spark modelsAug 20, 2018Aug 20, 2018
InHackerNoon.combyQuoraThe Applications of Blockchain in Big DataBy Ali Ayyash, Blockchain Advisor (2018-present). Originally published on Quora.May 10, 20186May 10, 20186
Prannoiy ChandranDisruption in Retail — AI, Machine Learning & Big DataHow Artificial Intelligence and Machine Learning can be leveraged to boost efficiency and customer engagement in RetailJul 23, 20181Jul 23, 20181
InTDS ArchivebySahil DhankhadA Brief Summary of Apache Hadoop: A Solution of Big Data Problem and Hint comes from GoogleWelcome to the introduction of Big data and Hadoop where we are going to talk about Apache Hadoop and problems that big data bring with it…Apr 8, 20194Apr 8, 20194
InAI.iobyTerence MillsWhy Big Data And Machine Learning Are Important In Our SocietyThe singularity is near, or maybe we’re already in it. Whatever the case is, machine learning and big data will have a tremendous…Jul 3, 2019Jul 3, 2019
InA Cloud GurubyForrest BrazealBig data, NoSQL, and Google versus AWSThe Serverless Superheroes featuring Lynn LangitOct 2, 20175Oct 2, 20175
InFast CompanybyFast CompanyBig Data Is A ShamBig companies are hoarding big data and doing nothing with it–except invading our privacy. It’s time to think small, writes Paddle…Apr 19, 20187Apr 19, 20187