The Pragmatic Engineer

APRIL 11, 2024

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

Banking 199

Banking Utilities Database Engineering 199

Waitingforcode

APRIL 11, 2024

Data enrichment is a crucial step in making data more usable by the business users. Doing that with a batch is relatively easy due to the static nature of the dataset. When it comes to streaming, the task is more challenging.

Datasets 130

Datasets Data IT 130

ArcGIS

APRIL 11, 2024

In April 2024, elevation layers have been updated with high-res datasets of Wales, New Zealand & German states of Bavaria, Saxony and Brandenburg

Datasets 104

Datasets Data 104

KDnuggets

APRIL 11, 2024

Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some effort into preparing your resume.

Data Science 91

Data Science Data 91

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Cloudera

APRIL 11, 2024

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.

Food 86

Food Data Architecture Programming Architecture 86

Precisely

APRIL 11, 2024

In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark for mainframe and IBM i modernization. As a Technical Architect at Precisely, I’ve had the unique opportunity to lead the AWS Mainframe Modernization Data Replication for IBM i initiative, a project that not only challenged our technical capabilities but also enriched our understanding of cloud

AWS 73

AWS Amazon Web Services Cloud Cloud Computing 73

DataKitchen

APRIL 11, 2024

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

Manufacturing 62

Manufacturing High Quality Data Data Pipeline Data 62

ArcGIS

APRIL 11, 2024

Answering regional geographers' favorite question: Where is the Midwest to you?

88

88

Knowledge Hut

APRIL 11, 2024

As a young engineer in the mid 90’s, I was asked by the management to co-ordinate the work for a certain sub-system implementation of the Nuclear Power Plant in this country. Needless to say I embraced the opportunity immediately. You can imagine I did not know I was running a project. This is something I realized much later, when I was reading PMI’s definition of what a project entails.

Management 52

Management Government Project Designing 52

Engineering at Meta

APRIL 11, 2024

The post Building new custom silicon for Meta’s AI workloads appeared first on Engineering at Meta.

Building 60

Building Engineering 60

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Snowflake

APRIL 11, 2024

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. These queries can be time-consuming to write and challenging to maintain. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

SQL 132

SQL AWS Data Analysis High Quality Data 132

Engineering at Meta

APRIL 11, 2024

An engineer shares how his team is building the foundation for AI infrastructure at Meta, from physical data centers to training AI models.

Building 48

Building Engineering Data 48

Engineering at Meta

APRIL 11, 2024

A Meta systems engineer shares how building and scaling our next generation MTIA chip will enable the future of AI.

Building 40

Building Engineering Systems 40