• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Silectis

Silectis

Simplifying data engineering, accelerating insights.

  • Home
  • Platform
    • Features
    • Technology
    • Request a Demo
    • Free Trial
  • How It Works
    • Our Process
    • Customer Success
    • Case Studies
  • Partners
    • Amazon Web Services
    • Google Cloud Platform
    • Looker
  • Resources
    • Blog
    • Magpie Case Studies
    • White Papers & Reports
    • Documentation
  • About Us
    • Careers
    • Contact
  • GET A DEMO
Home » Blog » Data Engineering

Data Engineering

How to Approach Your Data Engineering Transformation

Should you build your own tooling, take a "best of breed" approach, or buy a turnkey data engineering platform? We've got you covered. Data Engineering Platforms: Build, Best of Breed, or Buy? Every company wants to be data-driven. Modern organizations that thrive based on data have a common strength: a solid data engineering practice. How … [Read more...] about How to Approach Your Data Engineering Transformation

7 Data Engineering Trends to Watch

The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. Here at Silectis, we are in the fortunate position of working with a wide range of enterprises across multiple industries. I caught up with a few members of the team to take note of some of the data engineering trends we … [Read more...] about 7 Data Engineering Trends to Watch

Knowing Your Data Starts with Data Lineage

Data lineage can be a tremendously useful tool for data engineering and analytics, but is often treated as an afterthought both because of the challenges in implementation and the fact that it has not been broadly available within organizations. Many practitioners have never had access to data lineage information and may not know what they are … [Read more...] about Knowing Your Data Starts with Data Lineage

Reframing “Data Engineering vs Data Science”

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions. Organizations often struggle to strike the right balance between engineering, … [Read more...] about Reframing “Data Engineering vs Data Science”

Data Lineage Now Available with Silectis Magpie Data Engineering Platform

We’re excited to share that Silectis has released a new suite of automated data lineage features within Magpie, the end-to-end data engineering platform. These features equip users with knowledge of where data originates, when it was published, and who it was published by. This additional context provides users the transparency and accountability … [Read more...] about Data Lineage Now Available with Silectis Magpie Data Engineering Platform

Demo: Supercharging Data Engineering with Magpie for Snowflake®

For those using a robust analytics database, such as the Snowflake® Data Cloud, adding the power of a data engineering platform can help maximize the value you’re getting out of that database. In this demo, we’ll show you how native tools in the Magpie data engineering platform play well with Snowflake, ultimately, allowing your team to do more in … [Read more...] about Demo: Supercharging Data Engineering with Magpie for Snowflake®

  • Page 1
  • Page 2
  • Page 3
  • Interim pages omitted …
  • Page 5
  • Go to Next Page »

Footer

  • LinkedIn
  • Twitter

1701 RHODE ISLAND AVE. NW, SECOND FLOOR, WASHINGTON, DC, 20036,
Email : INFO@SILECT.IS – Phone : (202) 899-6320
Copyright © 2023 Silectis, Inc. All Rights Reserved. Silectis® is a registered trademark of Silectis, Inc. Unauthorized use is expressly prohibited.
Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.

Privacy Policy