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This episode was delayed due to ongiong situation in Ukraine. Thank for understanding.
Hot updatesPulsar is updatedApache Kylin"Extreme OLAP Engine for Big Data"Three main versions: 2.4, 3.0 and most recent is 4.0.1v4 released in the autumn 2021Brings OLAP back to dataBeen around since 2015, brought to you by eBAYNot a friend to HBase, but likes parquetWeb Interface for all data stepsOfficial python client with pandas supportAmbari is killed (put in the attic)Apache Hop 1.1https://www.leanwithdata.com/blog/2022/02/hop-1.1.0/At January, 18th graduated from IncubatorApache Hop Sucks!Dolphin SchedulerLightning newsApache Arrow for RustApache Iceber 0.13.0Hudi 0.10.1Apache HBase 2.4.9Apache Seatunneleasy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive dataApache ORC 1.6.13Apache Beam 2.35.0Apache Airflow 2.2.3Discussion: DataSecOpsOWASPData debiasingData anonymizationDr. Igor MosyaginData Engineer @ Klarna
Igor identifies himself as a pragmatic engineer with strong academic background. A theoretical physicist by training, he eventually assumed he had enough PhDs and left Academia to work with Data-* related things. As of 2022, Igor works as a Data Platform Engineer at Klarna. On top of that, he’s a huge fan of cephalopods, math rock, and quantum mechanics. He also hates baked carrots so much he decided to mention it in this bio
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit LinkedIn account (opens in a new tab)EmailPasha FinkelshteynDeveloper advocate @ JetBrains
Having 14 years of experience in IT, Pasha went through a fire in water, from technical support to developer, team lead, and data engineer. Now Pasha works as a developer advocate for Data Engineering at JetBrains. He helps develop the Big Data Tools plugin, gives talks on Kotlin and various aspects of data engineering, and work with data. Also, he is the author and maintainer of Kotlin API for Apache Spark.
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit Facebook account (opens in a new tab)Visit Instagram account (opens in a new tab)Visit LinkedIn account (opens in a new tab)Visit GitHub account (opens in a new tab)Email -
Hot updatesdbt 1.0.0 releaseddbt is gaining popularityGreat instrument which solves really existing problemRedisJSON is out for public preview https://redis.com/blog/redisjson-public-preview-performance-benchmarking/Need to have Redis 6.x or laterprobably a good point to talk once again thatRedisJSON* is faster than MongoDB and ElasticSearch on direct read, write, and update workloads.available in Redis Cloudor you can always buuild it yourselfBasically a bunch of JSON commands for "native" json experience:JSON.SETJSON.GETJSON.NUMINCRBYClient libraries for Go/Node.js/Python/Java/.NET/PHP/Rubyonly Java and Python are official libsYou can index your JSON documents using RediSearch, and you can set it up to update indexes on every writeCheck the benchmarksWhy community is dissing MongoDB recently? Their SSPL license is to blameFerretDB: relevant interesting solution — MongoDB interface over PostgreSQLNeo4j 4.4 is out last decemberuser impersonation is the main new featureAll cloud providers have their own graph dbGCP and AWS provide AuraDB: neo4j managed cloud serviceAmazon NeptuneAzure CosmosDBNeo4j has two main language engines: cypher, gremlingremlin is a Java API for Graph DB. Techincally, Gremlin itself is a database engine.... cypher is a term used to describe freestyle rap in a group setting, which might be something to consider when you search online for cypher tipsSome say cypher looks very Lua-ishNeo4j Desktop and a browser interfaceadditional plugins for easier visualizations/explorations"I wonder if we could solve this year's AoC problems with some DB like that"O'Relly often gives out their Neo4j book for freeWhy would you ever need a graph database?Lightning newsApache IoTDB 0.12.4group by multi levelLots of major verndor release updates due to well-known log4j vulnerabilitiesDo not forget to update log4j if you didn't yetCalcite 1.29.0Log4j obviouslyApache Beam new releaseMinor relase, 3 braking changesLast time we mention it here because they release new versions weeklyLakeFS new releasesThey just never stop:performance improvementsnew OpenAPI methodsecurity checkApache ORC 1.7.2 releasedIt's just good to know that this format is still alive and is being developed.row level filtering in columnar storage formatnow row-level predicates will work on rows (at the reader level)!Discussion: ETL and Reverse ETLDr. Igor Mosyagin
Data Engineer @ Klarna
Igor identifies himself as a pragmatic engineer with strong academic background. A theoretical physicist by training, he eventually assumed he had enough PhDs and left Academia to work with Data-* related things. As of 2022, Igor works as a Data Platform Engineer at Klarna. On top of that, he’s a huge fan of cephalopods, math rock, and quantum mechanics. He also hates baked carrots so much he decided to mention it in this bio
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit LinkedIn account (opens in a new tab)EmailPasha FinkelshteynDeveloper advocate @ JetBrains
Having 14 years of experience in IT, Pasha went through a fire in water, from technical support to developer, team lead, and data engineer. Now Pasha works as a developer advocate for Data Engineering at JetBrains. He helps develop the Big Data Tools plugin, gives talks on Kotlin and various aspects of data engineering, and work with data. Also, he is the author and maintainer of Kotlin API for Apache Spark.
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit Facebook account (opens in a new tab)Visit Instagram account (opens in a new tab)Visit LinkedIn account (opens in a new tab)Visit GitHub account (opens in a new tab)Email -
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A few hot updatesApache Geode 1.12.5enterprise edition is known as gemfiregeodistributed storagehas native clients in Java, C#, and C++ (!)JTA compliant transaction supportPinot released 0.9.0Added Segment Merge and RollupRollup is a technique for tree-like groupbyexample: city, streets, housesGeneral info about pinotMade by guys from LinkedIn and Uberhas zookeeper as depscolumn-oriented databaseIt's an OLAP tool for real-time analyticsthere are BI tools focused on dashboards and reportsused by analists etcthis is more for data explorationfor de / ds folksNear real-time ingestion from streams (Kafka, Kinesis, and batch ingestion from Hadoop/S3 and the likes)It has built-in UI for SQL edits and general BI for explorationfocus on realtime analyticsYou can connect Pinot to various BI tools such Superset, Tableau, or PowerBI to visualize data in PinotRocketMq 4.9.0 / 4.9.2 Comparison TableBased on ActiveMQDoes not need ZooKeeperHas conecept of strict message orderHas focus on perfect configuration OOTBRich web interfaceSQLite 3.37new STRICT table definition and ANY typeworks as cast on writecli client update:multiple connections from the same clientsecurity mode with `-safe`author is well-known as a supporter of flexible typing, have a read https://sqlite.org/flextypegood.htmlLigthningSuperset 1.3.2bugfixesif you never saw what's 1.3.0 has to offer, check it out: they have funnelsalso revised treemap vizBeam 2.34.0NiFi new release (1.15.0)main feature is parameter context inheritanceApache Ratis releaseRaftAirflow 2.2.2bugfixes 🤷♀️Nats 2.6.5 recent releasebugfixesDiscussion: Are dataframes necessary?
Kotlin DataFrame
Music by https://t.me/red_hands
Dr. Igor MosyaginData Engineer @ Klarna
Igor identifies himself as a pragmatic engineer with strong academic background. A theoretical physicist by training, he eventually assumed he had enough PhDs and left Academia to work with Data-* related things. As of 2022, Igor works as a Data Platform Engineer at Klarna. On top of that, he’s a huge fan of cephalopods, math rock, and quantum mechanics. He also hates baked carrots so much he decided to mention it in this bio
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit LinkedIn account (opens in a new tab)EmailPasha FinkelshteynDeveloper advocate @ JetBrains
Having 14 years of experience in IT, Pasha went through a fire in water, from technical support to developer, team lead, and data engineer. Now Pasha works as a developer advocate for Data Engineering at JetBrains. He helps develop the Big Data Tools plugin, gives talks on Kotlin and various aspects of data engineering, and work with data. Also, he is the author and maintainer of Kotlin API for Apache Spark.
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit Facebook account (opens in a new tab)Visit Instagram account (opens in a new tab)Visit LinkedIn account (opens in a new tab)Visit GitHub account (opens in a new tab)Email -
Hot UpdatesSpark 3.2 with pandas API supportApache Beam 2.33.0Arrow 6Airflow 2.2.1Lightning newsStreamlit cloud releasedTestContainers Cloud).Greenplum 0.16 releasedDiscussion
Classical CI/CD vs GitOps
Dr. Igor MosyaginData Engineer @ Klarna
Igor identifies himself as a pragmatic engineer with strong academic background. A theoretical physicist by training, he eventually assumed he had enough PhDs and left Academia to work with Data-* related things. As of 2022, Igor works as a Data Platform Engineer at Klarna. On top of that, he’s a huge fan of cephalopods, math rock, and quantum mechanics. He also hates baked carrots so much he decided to mention it in this bio
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit LinkedIn account (opens in a new tab)EmailPasha FinkelshteynDeveloper advocate @ JetBrains
Having 14 years of experience in IT, Pasha went through a fire in water, from technical support to developer, team lead, and data engineer. Now Pasha works as a developer advocate for Data Engineering at JetBrains. He helps develop the Big Data Tools plugin, gives talks on Kotlin and various aspects of data engineering, and work with data. Also, he is the author and maintainer of Kotlin API for Apache Spark.
Visit Website (opens in a new tab)Visit Twitter account (opens in a new tab)Visit Facebook account (opens in a new tab)Visit Instagram account (opens in a new tab)Visit LinkedIn account (opens in a new tab)Visit GitHub account (opens in a new tab)Email
