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Tag: Data Engineer
Showing 100 results
5 ways to simplify ETL using SQL
October 31, 2024
Using SQL for ETL offers many advantages. To help understand how it's best to look at the ETL process more broadly. Data pipelines use...
Starburst data lake certification and training
July 24, 2023
Data analytics certification program to learn about topics such as data lakes and data lakehouses, and modern table formats like Apache Iceberg.
Debating the future of data engineering
May 19, 2023
Data engineers have typically functioned as a central hub for engineering tasks. They work with multiple departments and business units across the enterprise. But as the decentralized, data-product-driven architecture of the data mesh approach becomes more popular, and more organizations find themselves on this decentralization journey, what happens to that centralized data team?
Fueling Trino large-scale geospatial analysis with Starburst Warp Speed
March 27, 2023
In our last post, we discussed two methods for running geospatial analysis with Trino and the Hive connector and explored a few optimization techniques...
Run optimized geospatial queries with Trino
March 23, 2023
The Trino open source distributed query engine is known as a choice for running ad-hoc analysis where there’s no need to model the data and...
Has the notion of a single data source for Financial Services run its course?
January 20, 2023
More than any other industry, Financial Services is likely to only partially realize the elusive utopian state of 'the single source of truth' for...
Building a federated data lakehouse with Starburst Galaxy
January 11, 2023
We are eleven days into the new year, and I have spent the past two weeks exerting unreasonable amounts of effort trying to make...
6 Reasons to Attend Datanova 2023: For Data Rebels
January 5, 2023
Over the past few weeks, we’ve shared a few examples of what it means to be a data rebel. Hopefully you’ve recognized yourself in...
Simplified Cloud Storage Governance with Starburst and Immuta
January 4, 2023
Accessing data in cloud storage has been an ongoing challenge for analysts, data engineers, and organizations as a whole. Additional work is required to...
Over 80 Data & Analytics Statistics, Data, Trends, and Facts
December 28, 2022
Most organizations have data and continue to generate and collect it on a daily basis, but have a far more difficult time in getting...
Tableau Cloud + Starburst: New Connector Supports Shift to Cloud-based SaaS
December 19, 2022
The shift to cloud-based software-as-a-service platforms is accelerating in just about every tech industry. So it wasn’t much of a surprise to the analytics...
What Are The Different Types Of Data Products
December 16, 2022
As we’ve gone from Data Mesh theory to practice, organizations have been shifting their focus towards the central tenet of Data Mesh — building...
Apache Iceberg Time Travel & Rollbacks in Trino
December 7, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Building lakehouse with dbt and Trino
November 30, 2022
In this series, we demonstrate how to build data pipelines using dbt and Trino with data directly from your operational systems. They can use...
Apache Iceberg Schema Evolution in Trino
November 22, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Reliving the Hype: Highlights from Trino Summit 2022
November 18, 2022
Last week in San Francisco was one for the Trino history books. After three years of planning, rescheduling, planning, and rescheduling some more, Starburst...
Apache Iceberg DML (update/delete/merge) & Maintenance in Trino
November 17, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Explore A New Way Of Utilizing A Data Lakehouse
November 10, 2022
A data lakehouse combines the principles of a data lake and a data warehouse to include the best of both worlds. Data lakehouses are...
Iceberg Partitioning and Performance Optimizations in Trino
November 8, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Join the Team: Realizing the Promise Of Big Data
November 4, 2022
I have been in and around data since my days with Microsoft Access, Excel, and SQL Server circa 2000, and was fortunate to witness...
Countdown to Trino Summit 2022
November 1, 2022
It’s finally here! We are closing in on the final countdown to Trino Summit 2022, and I can feel myself getting more excited with...
Build a Data Lakehouse Reporting Structure with dbt and Starburst Galaxy
October 18, 2022
Since my first introduction to dbt, I was intrigued to say the least. Working as a data engineer, I was attempting to manage complicated...
Accenture Master Class: How to Adopt a Data Product Mindset
October 17, 2022
Since Datanova: The Data Mesh Summit and our in-person executive discussions on data products and Data Mesh, we’ve been validating the data product approach...
Data Sharing Culture With Your Data Lakehouse
October 11, 2022
Corporate data is no doubt a valuable asset. Except it’s an open secret that data alone isn’t inherently valuable, nor will it produce valuable...
Second Edition of Trino: The Definitive Guide
October 5, 2022
Starburst has played a key role in the Trino community for a long time now. We contribute to the success of Trino every day....
Building Reporting Structures on S3 using Starburst Galaxy and Apache Iceberg
October 4, 2022
AWS S3 has become one of the most widely used storage platforms in the world. Companies store a variety of data on S3 from...
The Data Virtualization Evolution is Just Beginning
October 4, 2022
Data virtualization revolutionized the data infrastructure space by serving data consumers directly on top of data stores, without the need to move data elsewhere....
Delivering Text Search Capabilities Directly on the Data Lake with Starburst
September 29, 2022
In the big data analytics world, enabling analytics on unstructured text is a powerful capability. For that reason, it would be of use that...
Accenture Master Class: Creating Data Products
September 27, 2022
Since Datanova: The Data Mesh Summit and our in-person executive discussions on data products and Data Mesh, we’ve been validating the data product approach...
Rethinking SIEM Solutions
September 13, 2022
As organizations strive to become more agile, there has been a mass movement jumping headfirst into what is called a security data lake. Gartner...
The Difference Between Micro-Partitioning vs. Indexing and a Better Way
September 8, 2022
When optimizing your analytics database performance, one of the most important decisions is to choose how data is stored and accessed. There are two...
Accenture Master Class: Why Organizations Should Create Data Products
September 6, 2022
Since Datanova: The Data Mesh Summit and our in-person executive discussions on data products and Data Mesh, we’ve been validating the data product approach...
Identify threats faster with a security data lake
August 26, 2022
The glory days of SIEM are over. Security teams are not only measured by their ability to collect as much data as possible, but...
Practical Security And Policy-Based Governance In A Data Mesh
August 11, 2022
Proponents of Data Mesh understand its many game-changing benefits for large scale organizations. For those who are new to this reimagined framework, Data Mesh...
Near Real-Time Ingestion For Trino
August 4, 2022
It is quite popular in today's data climate for modern data architectures to have some sort of batch processing system to move data into...
Starburst Lakehouse: Data Warehouse Functionality, Without The Cost
July 14, 2022
Next-Gen data management and analytics strategies We’ve all lived it. Heard it. Adapted to it. The next analytics strategy with numerous ‘modern’ technologies to...
Scaling Up: When to Migrate from PostgreSQL to a Data Lake
July 13, 2022
One of the true pillars of the tech revolution, PostgreSQL is an OLTP database designed primarily to handle transactional workloads. The technology has been...
A Better Solution For Managing and Maintaining Data Pipelines, Now In Public Preview
July 6, 2022
Customers who want a single, super fast and easy-to-use solution for both interactive and longer-running data pipeline queries now have a solution: take advantage...
Confessions of a Space Quest League Advocate
July 6, 2022
Mission 2 Wrap and Mission 3 Launch We all know at least one pandemic puzzler, a devoted crossworder, or a religious wordler who finds...
Starburst Acquires Varada To Deliver Faster (and Cheaper) Data Lake Analytics
June 23, 2022
I’m excited to announce the acquisition of Varada, a data analytics accelerator, based out of Tel Aviv, Israel. Varada offers a data lake analytics...
Employee Perspective: Accelerating Data-Driven Insights in AdTech
June 16, 2022
Before I joined Starburst, I worked in the AdTech industry where companies buy and sell user data for online targeting advertisement campaigns or ML/AI-based...
Let’s Get Granular: Why Granularity Impacts Role-Based Access Control
June 14, 2022
About a month into my first job I finished building my first data pipeline ever. I soaked in the “I Made THAT!” moment, and...
Transforming Your Data Pipelines with Starburst
June 9, 2022
Current State of ETL/ELT Extract-transform-load, more commonly known by its street name “ETL”, has been around since the early days of computing. Bringing together...
Data Lake Analytics for Smart, Modern Data Management
May 27, 2022
Best-in-class organizations need fast, reliable data analytics that enable business leadership to identify patterns and key insights that will help them predict the best...
The Past, Present, and Future of Trino
May 24, 2022
Recently, I had the pleasure of chatting with Ravit Jain on his show “The Ravit Show” to discuss the evolution of Trino and where...
Part 2: How to Run Batch Processes Using Starburst Galaxy
May 19, 2022
This is Part 2 of a 2-part blog about how Trino can support both interactive and batch use cases. In Part 1, we explored...
ETL vs Interactive Queries: The Case for Both
May 5, 2022
This is Part 1 of a 2-part blog about how Trino can support both interactive and batch use cases. In Part 1, we will...
Starburst and Data Products: The Key to a Data Mesh
April 28, 2022
The key to success for any company is deriving business value from data in a robust, scalable, and timely fashion. A huge part of...
Enter the Starburst Space Quest League for a Chance to Win Big!
April 18, 2022
Calling all data pros! Are you ready for a $20k payday? Yes, you heard it right – you could be walking away with $20,000...
Faster Query Processing: CPU Time
March 25, 2022
A key engineering responsibility at Starburst is on performance enhancements. One is to reduce the amount of time that a CPU has to work...
Simplifying Policy Enforcement for Your Data Mesh with Starburst Enterprise and Immuta
March 23, 2022
This blog was co-authored by Alex Breshears, Product Manager at Starburst In today’s global economy, it’s impossible to understate the importance of being able...
The 2022 State of Data: A Sneak Peek
March 10, 2022
I participated in a panel discussion with Karl Eklund, Principal Architect at Red Hat, and William Schnoeppner, Director of Research and Consulting at EMA...
The Benefits of a Big Data SQL Query Engine
February 16, 2022
So why use a big data SQL query engine? Well, have you suffered from the following problems with processing and analyzing big data via...
6 Reasons to Attend Datanova 2022: #5, Join our Immuta-Sponsored Data Product Lab
February 2, 2022
Let this summit be the one that will pull you out of your PJs and into the data products lab with your lab coat...
6 Reasons to Attend Datanova 2022: #3, Hear Customer Stories
January 28, 2022
Start off the year right by registering for our two-day virtual conference, Datanova: The Data Mesh Summit. As of late, with the rise of...
Top 6 Reasons to Migrate to the Cloud
January 25, 2022
Starburst released the 2021 State of Data market research report, conducted by Enterprise Management Associates (EMA), in collaboration with Red Hat, early last year....
6 Reasons to Attend Datanova 2022: #4, Accenture Master Class
January 19, 2022
So far, we’ve highlighted a few reasons why you should attend Datanova: The Data Mesh Summit: The Woz and Justin Borgman. The next reason...
The Right Way to Query Across Data Sources in Tableau (or, The Cross-Database Join Is Not Always Your Friend)
January 13, 2022
Summary Use the right tool for the right job. Not doing so means the difference between your Tableau viz rendering in seconds vs. minutes...
6 Reasons to Attend Datanova 2022: #6, Zhamak Dehghani, Creator of Data Mesh
January 7, 2022
The self-professed “troublemaker” Zhamak Dehghani, who coined Data Mesh will join us for not one but two sessions! ...
5 Reasons to Sign Up for Starburst Galaxy
December 22, 2021
The original vision of Starburst was to make querying distributed data as simple, fast, and painless as possible. Starburst Galaxy, our serverless, fully-managed SaaS...
Starburst Stargate: One Cluster to Rule Them All
December 9, 2021
I think of Starburst Stargate as the Lord of the Rings feature. Or the galactic empire feature. In a prior blog post, I introduced...
Data warehouse vs Lake vs Lakehouse architecture
December 6, 2021
As companies shift their analytical ecosystems from on-premise to cloud and try to avoid “data lock-in”, we’re noticing some very interesting data patterns. This...
Data Fabric vs. Data Mesh: What’s the Difference?
November 18, 2021
I am increasingly getting asked about Data Fabric vs Data Mesh. They are both emerging paradigms designed to solve a prevalent problem in modern...
Tableau is Just Better with Starburst
November 15, 2021
I’m one of those strange people who has always enjoyed doing performance testing. The thought of spinning up lots of machines to do my...
Intro to Trino for the Trinewbie
November 2, 2021
If you haven’t heard of Trino before, it is a query engine that speaks the language of many genres of databases. As such, Trino...
Data Mesh: Data as a Product
October 21, 2021
Data Mesh is based on four central concepts, the second of which is data as a product. In this blog, we’ll explore what that...
Data Mesh Architecture: Domain-oriented Ownership
October 14, 2021
A data mesh architecture is based on four central concepts, the first of which is domain-oriented ownership. In this blog, we’ll explore what that...
The Analytics Engine for Distributed Data
October 1, 2021
The idea of a single source of truth has been around since the beginning of big data. However, over the years, through the data...
Data Mesh: A Software Engineer’s Perspective
September 28, 2021
You might have heard about Data Mesh recently, which is a modern approach to managing data and analytics in a distributed, domain-driven fashion. At...
Data Mesh Book Bulletin: Principle of Domain Ownership
September 21, 2021
Despite the investments and effort poured into next-generation data storage systems, monolithic, centralized data warehouses and data lakes have failed to provide the line...
Does the data mesh make data integration harder?
September 17, 2021
Every five years, a small group of leaders in the data management research community get together to do a self assessment --- what are...
The Intelligent Edge
September 13, 2021
Today’s digital world is an expanding frontier of emerging technologies. There are endless innovations, inspired by data, informed by data, enabled by data, and...
How Assurance Unlocked More Business Value with Starburst
September 9, 2021
By leveraging Starburst, Assurance was able to improve conversion rates, reduce costs, and enable robust modeling. Read the full case study here. ...
Why Performance Matters: Parquet, Delta Lake, Dynamic Filtering
August 26, 2021
My fascination with SQL query performance started quite some time ago and I contributed a paper on efficient processing of data warehousing during my...
Hybrid Distributed Data Store and RDBMS
August 12, 2021
As companies shift their analytical ecosystems from on-premise to cloud and try to avoid “data lock-in”, we’re noticing some very interesting data patterns. This...
Kafka and Starburst: 3 Considerations for Accelerating Time to Value
July 27, 2021
What is Kafka? Apache Kafka was created at LinkedIn and open sourced into the Apache Software foundation in early 2011. Kafka was developed to...
Data Federation and Data Virtualization Never Worked in the Past But Now it’s Different
July 13, 2021
Thirty years ago it was already commonplace for large businesses to have hundreds --- even thousands of different database instances managing data from the...
Starburst Elements: A Holistic View of Your Cluster and Query Environment with Starburst Insights
July 1, 2021
This is the fifth episode in our video series, Starburst Elements, focused around anything and everything Starburst. In this episode, our Product Manager Vishal...
Query Federation Made Simple at Comcast
June 24, 2021
The media and telecommunications provider now known as Comcast began as a regional operator with just five channels and 12,000 customers. Today, Comcast has...
Rapid Controlled Access to Data with Starburst and Immuta
June 16, 2021
A growing number of enterprises are experiencing the benefits of the Starburst single point of access to all of their data that allows them...
Trino on Ice IV: Deep Dive Into Iceberg Internals
June 8, 2021
Trino on ice I: A gentle introduction to Iceberg Trino on ice II: In-place table evolution and cloud compatibility with Iceberg Trino on ice...
Managing Secrets in Trino
June 3, 2021
Most companies want to follow good security practices. With the number of security breaches coming out daily, it almost feels like a matter of...
Starburst Supports Launch of Delta Sharing, the First Open Protocol for Secure Data Sharing
May 26, 2021
At Starburst, we believe in building optionality into your data architecture & strategy. To us, optionality means building for flexibility so that you don’t...
Trino on Ice III: Iceberg Concurrency Model, Snapshots, and the Iceberg Spec
May 25, 2021
Trino on ice I: A gentle introduction to Iceberg Trino on ice II: In-place table evolution and cloud compatibility with Iceberg Trino on ice...
Starburst Elements: Start Fast with Starburst Galaxy
May 20, 2021
This is the fourth episode in our video series, Starburst Elements, focused around anything and everything Starburst. In this episode, our Product Manager Vishal...
Trino on Ice II: In-Place Table Evolution and Cloud Compatibility with Iceberg
May 11, 2021
Trino on ice I: A gentle introduction to Iceberg Trino on ice II: In-place table evolution and cloud compatibility with Iceberg Trino on ice...
Starburst Elements: Introduction to Starburst Galaxy
May 7, 2021
This is the third episode in our video series, Starburst Elements, focused around anything and everything Starburst. In this episode, our Product Manager Vishal...
Data Pandemic Stories: How Data Drives Digital Transformation in a Crisis, by Promethium
April 28, 2021
After debuting our blog series on data pandemic stories with a story from Tableau and a perspective from Privacera, we are excited to bring...
Trino On Ice I: A Gentle Introduction To Iceberg
April 27, 2021
Trino on ice I: A gentle introduction to Iceberg Trino on ice II: In-place table evolution and cloud compatibility with Iceberg Trino on ice...
Data Pandemic Stories: How Data Drives Digital Transformation in a Crisis, by Privacera
April 14, 2021
After debuting our blog series on data pandemic stories with a story from Tableau, we’re excited to bring you a viewpoint from Syed Mahmood,...
Data Mesh: The Answer to the Data Warehouse Hypocrisy
March 25, 2021
Note: I start this piece with some technical background that has nothing to do with the data mesh, and is only relevant to data...
A Gentle Introduction to the Hive Connector
February 12, 2021
One of the most confusing aspects when starting with the Hive connector comes from the complex Hive model and overlapping use cases of this...
The Future of Analytics: In Conversation With Matt Fuller
February 5, 2021
Datanova is just next week. More than 2,000 data and analytics leaders will join us to learn more about how to unlock the value...
Reasons to Attend Datanova 2021: # 6, Technical Training from the Creators of Trino
February 5, 2021
We love data engineers at Starburst. They are our people, even when their Starburst Data equivalents try to trick Marketing into pronouncing the data...
PrestoSQL becomes Trino
December 28, 2020
Just like Linux, there are multiple derivatives of Presto. Trino is the one maintained by the creators of Presto. “What's in a name? That...
Top 10 Reasons to Migrate from EMR Trino to Starburst Enterprise
November 13, 2020
In today’s data architecture economy, there are no shortages of options when it comes to choosing various distributions and deployment strategies for a given...
Starburst Secrets – Hiding Sensitive Presto Credentials
August 26, 2020
As Presto continues to rapidly become the SQL engine of choice powering the modern big data consumption layer, security is at the top of...
The Death of Apache Drill
August 6, 2020
One of the things that really drew me to and got me excited about Trino over 4 years ago was that it wasn’t tied...
Presto & Data Science: Getting Data Into the Hands of Data Scientists (Faster)
June 26, 2020
A few days ago I read a Gartner report stating that data scientists spend 23% of their time on data collection and preparation. I...
How a Telecommunications Giant Established Universal Data Access
April 3, 2020
Our customer base has been growing quickly, and we’re excited to share a case study highlighting one of our largest clients, a telecommunications...
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