Valdas Maksimavičius

IT Architect

[Valdas Maksimavičius @VMaksimavicius]

@Triamus1 Awesome to see it! That piece took some time to produce... :) Have you found a good solution to meet your requirements?

[Valdas Maksimavičius @VMaksimavicius]

@Triamus1 I paused for the summer. I am going to update the dates. Lakehouse is one of the topics, anything else you'd like to discuss?

[3Cloud @go3cloud]

Making #DataScientists Productive in #Azure https://t.co/e1Ll6c6G5y by @VMaksimavicius

[Valdas Maksimavičius @VMaksimavicius]

3. The emergence of highly scalable, columnar databases, such as Amazon Redshift, Snowflake, and Google Big Query

[Valdas Maksimavičius @VMaksimavicius]

3 things that transformed the landscape of analytics and data warehousing over the last 10 years are...

James Densmore in his latest book Data Pipelines Pocket Reference listed these 3 items:

[Valdas Maksimavičius @VMaksimavicius]

2. Continued drop-in storage costs in the cloud

[Valdas Maksimavičius @VMaksimavicius]

1. The ease of building and deploying data pipelines, data lakes, warehouses, and analytics processing in the cloud. Thank you AWS, Microsoft, Google ;)

[Valdas Maksimavičius @VMaksimavicius]

Do you still wonder how to secure and get enterprise readiness for #databricks?

Here's an updated set of recommendations on how to get started with #datagovernance in Databricks and #deltalake.

https://t.co/lbQoEJhKiX

[Valdas Maksimavičius @VMaksimavicius]

I am joining @databricks webinar this Wednesday to talk about lessons learned while scaling Databricks at If Insurance

https://t.co/5o0A8KYvCe

Thanks @Junta_Nakai and Simon Ghebremikael for the invite!

#dataengineering #insuranceindustry #dataanalytics

[Databricks @databricks]

“We use Databricks as an analytics accelerator and status quo challenger.” - @VMaksimavicius, IT Architect & Microsoft Data Platform MVP at If Insurance, discusses their decision to use Databricks for data management and how we’ve been able to help ⬇️ https://t.co/Of8ac6KRwh

[Valdas Maksimavičius @VMaksimavicius]

Metadata is like dark matter - enormous amounts of hidden information that interact with normal, atomic, business data.

On the contrary, you can collect metadata to extract more context and meaning from your data.

https://t.co/Tg0RD3WbQv

[Valdas Maksimavičius @VMaksimavicius]

Are you looking for a "hello world" approach for #datagovernance?

Take a look at my latest article on available metadata solutions.

p.s. @MarquezProject is a great place to start!

https://t.co/cKM5xS36FK

[Valdas Maksimavičius @VMaksimavicius]

Here is my first article in the wider series about data governance and metadata. In them, I write about what I’ve learned on Azure Data Platform, how I think of it, and how I use that knowledge.

https://t.co/V0F3vAEPFJ

#datagovernance #metadata #azuredataplatform

[Valdas Maksimavičius @VMaksimavicius]

Here is my latest blog post about data security. Fines, responsibilities, tips for data professionals.

https://t.co/pJYShkpIw0

#datasecurity #dataengineering #softwaredevelopment

[Valdas Maksimavičius @VMaksimavicius]

Here are 3 simple, but expensive, mistakes that will increase the cost of your Azure data platform by hundreds or thousands USD/EUR!

https://t.co/5Yqa319IiC

#databricks #dataengineering #cloud #azure #cloudeconomics

[Valdas Maksimavičius @VMaksimavicius]

I wish I could have seen this Azure Analytics Architecture earlier... 😅 Defining names of your data lake zones (raw, standardized, curated or bronze, silver, gold) is merely the tip of the iceberg

https://t.co/3Wnz58ksAL

#azure #Analytics #databricks #dataengineering #bigdata

[Valdas Maksimavičius @VMaksimavicius]

Here is the world's simplest key value store implementation 🙂

This little masterpiece comes from Martin Kleppmann's book, Designing Data-Intensive Applications.

https://t.co/ybTevU5zTm

#dataengineering #distributedsystems #softwaredevelopment

[Valdas Maksimavičius @VMaksimavicius]

Brilliant talk on data engineering maturity levels by Chris Riccomini. Chris presents 6 stages of data engineering, from an initial "none" stage up to a "decentralization" stage.

https://t.co/Ad1ltZjPmV

#dataengineering #bigdata #streaming

[Valdas Maksimavičius @VMaksimavicius]

📣 My latest findings in the world of #data, #ai and #spaceexploration
AI and leadership podcasts, Google's new chat bot and more

Have you stumbled upon something interesting lately?

https://t.co/uT2kWACjZG

[Valdas Maksimavičius @VMaksimavicius]

Greg Young, in one of his talks, encouraged programmers to read scientific papers. But how do you get access to SpringerLink, EBSCO, Cambridge Journals, or other databases? My go-to place is Martynas Mazvydas National Library. What are your favorite journals on software, data?