@IjeomaOgood@IjeomaOgood .at least, try to get the statement right.. He said "Saul will come before David", not sure where you got Paul from.
You can go look for the message on that date to get a clear context of that statement. Cheers.
@IjeomaOgood@IjeomaOgood... Wow.
You boldly typed the phrase "Shameless Fool" to someone you likely don't even know. Does that make you feel better?. Is there any issue with a Pastor congratulating someone? Or making a prophecy that actually came to pass? Take is easy nne.
@FirstBankngr@FBN_help
It's Been a very long while since your <Share Receipt> feature on your mobile app stopped working.. Can your engineers makes this little fix or it doesn't matter one bit?. Does data from the app metrics suggest that the feature is irrelevant?
🚀Join me on Thursday, 17th October, by 1pm GMT+1 / 8am EST @DataFestAfrica
In just 45 minutes, we'd set up a CI/CD pipeline for your data workloads.
Links: https://t.co/6d28CbYYUw
Codebase: https://t.co/J0wglG4vxP
See you soon. 💯
#dataengineering#DataFestAfrica2024
One thing is Sure. The government may not & cannot please everyone. But interventions like this should be commended as it would touch a couple of Nigerians. Welldone Y.E @officialABAT.
God bless Nigeria.
Participating companies in the FG’s plan to reduce the transport burden of travelling 5 million Nigerians:
1.GIG ( God is Good)
2. Chisco Transport
3. Young Shall Grow
4. God Bless Ezenwata
5. Area Motor
The available routes:
Data engineers are sick of feeling invisible!
On a data project, they do a ton of the heavy lifting just for the data analyst or data scientist to communicate the results and get all the recognition!
Here’s how to get more visibility in a role that is prone to “working in the shadows”
- be a part of the presentations with the data scientist. Either with your name in the credits or better is if you have a slide or two dedicated to discussing the pipeline and its high quality.
- make sure to write all the good stuff that you do down so you don’t forget during performance review. Having a cohesive story of your impact will help you climb the ladder faster
- if your downstream analysts are taking all the credit, raise it to your manager so they can figure out how to shine more visibility on your hard work!
Don’t just write pipelines in the dark! Being celebrated and perceived positively is how you make more money as a data engineer!
#dataengineering
Data people talk about learning Scala about the same way people talk about getting a root canal.
They’re like, “why can’t we just use Python? It’s clearly better in every way”
Here’s why I think learning Scala is worth it:
1. It teaches you a compiled language. Once you know a compiled language and an interpreted language (i.e. Python), learning any other language becomes dramatically easier.
2. It teaches you to care about the data types of your functions. Unlike Python, Scala forces you to type every input which is a good thing. The way Python functions just cross their fingers and say “I hope the types are right, but if not I’ll try my best anyway” is kind of terrifying from both a reliability and data quality perspective.
3. The JVM is amazing. If you learn Scala, you get access to the huge wealth of Java libraries that are available. This library is at least as big as Python if not a bit larger.
4. It helps you learn about writing performant code.
#data #python #dataengineering #scala
All smiles here after @awscloud's CEO @aselipsky's keynote! How about that Amazon Q announcement?! 👀
And of course we have everything you need to know packaged for you in a nice post 😉:
#reinvent#AWSreInvent#amazonQ
I’m super excited to have you join as CEO of this new group, Sam, setting a new pace for innovation. We’ve learned a lot over the years about how to give founders and innovators space to build independent identities and cultures within Microsoft, including GitHub, Mojang Studios, and LinkedIn, and I’m looking forward to having you do the same.
The stories of founders who were ousted from their own companies, ranging from tech giants like Steve Jobs of Apple to Sam Altman of OpenAI, resonate with the unpredictable nature of the business world. These narratives are not just tales of corporate power struggles; they encapsulate lessons in resilience, innovation, and the often harsh realities of entrepreneurship.
The firing of a founder can be seen through various lenses. On one hand, it highlights the complex dynamics of growing a startup into a large corporation, where the skills needed at inception may differ vastly from those required to navigate a mature company. On the other hand, it's a reminder of the precarious balance founders must maintain with investors and boards, who often have different visions for the company's direction.
Steve Jobs' departure from Apple in 1985 and his subsequent return is perhaps the most emblematic of these stories. It's a testament to the idea that sometimes a founder needs to step away to gain new perspectives and skills. Jobs' return to Apple led to a period of unprecedented innovation and growth, fundamentally altering the landscape of technology and consumer electronics.
Similarly, other founders on this list, like Sean Rad of Tinder or Travis Kalanick of Uber, faced challenges that were reflective of both personal management styles and the evolving needs of their businesses in rapidly changing industries.
Each of these stories is a lesson in the volatile nature of the tech and business world, where rapid growth can lead to equally rapid changes in leadership. These tales also serve as a reminder that being a founder does not guarantee perpetual leadership, and that businesses are ultimately beholden to their stakeholders, be it investors, boards, or customers.
As we reflect on these narratives, they should inspire not disillusionment but a recognition of the evolution and lifecycle of leadership in business. The journey of a founder often involves highs and lows, and sometimes the very act of stepping down can open new pathways for both the individual and the company.
In the ever-shifting sands of the business world, these stories of founders stand as a testament to the enduring spirit of entrepreneurship. They remind us that in the world of innovation and business, endings can often be new beginnings, and what matters most is the legacy of ideas and change one leaves behind. 🌐💼🔄
Data engineering evolution isn’t fast changing! It’s an illusion and here’s why:
- Distributed compute has been mostly the same since 2009. Sure Spark made it faster but the MapReduce framework is still the underpinnings that describe BigQuery, Snowflake, Spark, and Trino.
- Data modeling has been mostly the same since the 1980s. Bill Inmon’s knowledge he wrote about then still applies. Parquet and run-length encoding compression have been around for over a decade.
- Data orchestration is just CRON with fancy bells and whistles. This was developed in 1975. Airflow is just Python wrapping CRON.
- Data quality concepts such as data contracts are also not new concepts! Schemas and enumerations have been around since the 1980s
- Data lakes are also not a new concept. Hadoop started this in 2009. This space has just gotten easier to learn not harder!
#dataengineering
Octoverse 2023 report at #GitHubUniverse, shows that Nigeria is a hot spot for open-source adoption and technological investments with a 45% year-over-year growth rate, making it the largest worldwide increase 🔥.
You’re a great engineer if you know the definition of:
- idempotent
- monoid
- decoupled
- dependency injection
- unit
- functional programming
- asynchronous vs parallel programming
- thread locking
- eventual consistency
- exactly-once semantics
- lambda vs kappa architecture
- push vs pull architectures
- write-audit-publish pattern
What else would you add?
#dataengineering
#softwareengineering