The lakeFS team

Data Engineering

Data Reproducibility and other Data Lake Best Practices

The lakeFS team
November 20, 2022

Overview Data changes frequently, making the task of keeping track of its exact state over time difficult. Oftentimes, people maintain only one state of their data––its current state. Data lake best practices require reproducibility that lets us time travel between different versions of the data, enabling us a snapshot at the data at different times …

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Data Engineering Thought Leadership

Top Data Engineering Conferences & Events You Don’t Want to Miss in the Fall of 2022!

The lakeFS team
November 7, 2022

As the Covid-19 pandemic loosens its grip on the world, we’re all eager to start travelling and meeting in person again. The great news is that in persone conferences are back, so it’s time to make up for lost time! Attending conferences is a great way to learn, network, and engage with like-minded people.  Not …

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Data Engineering Thought Leadership

Data Mesh: What is it and What Does it Mean for Data Engineers?

The lakeFS team
November 7, 2022

Organizations have practically always needed data analytics, and they jumped on the analytics bandwagon as soon as the first computers appeared on the scene. In the 80s, businesses built data warehouses using relational databases as their decision-support systems (DSS). However, as companies generated more diverse data at high velocity, relational databases showed their limitations.  This …

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Announcements Data Engineering

LakeFS Introduces a New Approach to Data Manageability and Reliability

The lakeFS team
November 7, 2022

lakeFS Cloud provides a Git-like repository for data lakes in a hosted version available in AWS Marketplace NEW YORK and TEL AVIV, June 22, 2022–lakeFS, the technology that brings streamlined data lifecycle management and version control to data lakes, is announcing lakeFS Cloud, a fully managed SaaS version of its open-source technology. The new hosted …

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Data Engineering

7 Winning Habits of Effective Data Engineers  

The lakeFS team
June 14, 2022

As organizations develop new product offerings and data streams, data engineers deal with the largest and most complex datasets ever. Add growing teams and new data orchestration tools into the mix, and you got yourself a pretty complicated data landscape. As the global cloud storage market grows, so does the complexity of managing data. This …

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Data Engineering

Clearing the mess – How to ensure data quality with versioning

The lakeFS team
May 11, 2022

The last decade saw an unprecedented rise in the number of organizations that base their decisions and operations on data. The number of digital products that collect and process data and use it to fuel decision-making algorithms for enhancing future services is also growing at a very fast pace. That’s why data and data quality …

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Data Engineering

5 Painful mistakes data engineers make, and how to avoid them

The lakeFS team
June 6, 2022

Modern data engineering practices lead more and more organizations to a broader use of object stores. This happens due to the rising scale and complexity of the data that they manage – along with the growing variety of use cases that these data warehouses need to cater: from machine learning and algorithm development, to analytics …

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