Milan Merglevský

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Milan Merglevský

Milan Merglevský

@Merglevsky

Remote Data Engineer & Business Analyst

Praha Katılım Ağustos 2009
680 Takip Edilen451 Takipçiler
Milan Merglevský
Milan Merglevský@Merglevsky·
“Now you can use Spark to conduct data processing and machine learning without any custom integrations: it is available natively in BigQuery, Vertex AI, Dataplex, and Dataproc. ” buff.ly/3r9mHoI
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Anonymous
Anonymous@YourAnonNews·
We've mentioned our actions are not against the Russian people, but against Putin and the Russian government. We've also mentioned that we totally support the Russian people standing up against Putin on our timeline. The people of Russia have a choice to make. Stand up? Or sit?
Suzanne Carson@Suzanne53547547

@YourAnonNews What about the innocent civilians in Russia. A lot of them are against the war. Everyone is supporting Ukraine without a thought for those stuck in the middle.

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Milan Merglevský
Milan Merglevský@Merglevsky·
Data mesh architecture, first proposedb y Zamak Deghani, describes a modern data stack that moves away from a monolithic data lake or data warehouse architecture to a distributed domain-specific architecture that enables autonomy of data ownership buff.ly/3h9yRIV
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Milan Merglevský@Merglevsky·
Google Dataplex, an intelligent data fabric that enables you to centrally manage, monitor, and govern data across data lakes, data warehouses, and data marts, and make this data securely accessible to a variety of analytics and data science tools” buff.ly/3h9yRIV
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Milan Merglevský
Milan Merglevský@Merglevsky·
Streaming data into BigQuery using Storage Write API: For Dataflow users, this means you can combine streaming ingestion and batch loading into a single high-performance API. buff.ly/3I1qNG1
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Milan Merglevský
Milan Merglevský@Merglevsky·
Skill deep or wide with data - that is the question -> “Google data experts share top data practitioner skills needed in 2022” buff.ly/3v0zvR5
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Milan Merglevský
Milan Merglevský@Merglevsky·
Five integrations between Vertex AI and BigQuery, so you can store and ingest your data; build, train and deploy your ML models; and manage models at scale with built-in MLOps buff.ly/3BaawvP
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