Confessions of a Data Guy
APRIL 19, 2024
Being Data Analytics is a meat grinder, it’s the worst job ever. Horrible it is. It will crush you. The post Data Analytics Suck! Worst Job Ever! appeared first on Confessions of a Data Guy.
Seattle Data Guy
APRIL 19, 2024
How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline. That means, if you’re looking for… Read more The post 10 Great Videos To Help You Learn Data Engineering appeared first on Seattle Data Guy.
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Christophe Blefari
APRIL 19, 2024
easy ( credits ) Hey, new Friday, new Data News. This week, I feel like the selection is smaller than usual, so enjoy the links. I'm a bit late with the Recommendations emails, I'm sorry about that I got a few new leads as a freelancer I had to take in priority changing a bit my schedule. But don't worry it gonna be out soon. AI News 🤖 When do models get the same hype as 2007 iPhone release?
Confessions of a Data Guy
APRIL 19, 2024
Back in March, I did a writeup and experiment called DuckDB vs Polars, Thunderdom, 16GB on 4GB machine challenge. The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. Polars worked fine, DuckDB failed in spectacular fashion. I also noted how many people had opened issues in […] The post DuckDB Out Of Memory – Has it been fixed?
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
APRIL 19, 2024
The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.
Knowledge Hut
APRIL 19, 2024
If you are planning to enter the world of Python programming, the first and the most essential skill you should learn is knowing how to run Python script and code. Once you grab a seat in the show, it will be easier for you to understand whether the code will actually work or not. To learn more about sys.argv command line argument, click here. Python, being one of the leading programming languages , has a relatively easy syntax which makes it even easier for the ones who are in their initial sta
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Knowledge Hut
APRIL 19, 2024
In 2024, the spending in the information technology sector across India was above 112.55 billion U.S. dollars. It was projected that in 2024, the IT spending of India would reach more than 124.6 billion dollars. The IT-BPM industry contributed about 7.5 percent to the GDP of the nation. The figures are sufficient to demonstrate the significant influence of IT services in India.
Towards Data Science
APRIL 19, 2024
Assigning code owners, hiring analytics engineers, and creating flywheels Continue reading on Towards Data Science »
Precisely
APRIL 19, 2024
SAP bietet einige der robustesten Unternehmenssoftwareprodukte auf dem Markt. Das ist natürlich sehr wichtig für jeden, der ein komplexes globales Unternehmen mit vielen “beweglichen Teilen” betreibt. SAP leistet hervorragende Arbeit bei der Bewältigung dieser Komplexität – aber die Pflege der Stammdaten, die rechtzeitige Aktualisierung der SAP-Informationen und die Aufrechterhaltung eines reibungslosen Ablaufs sind komplex.
Hevo
APRIL 19, 2024
About the Author Nicola Askham, also known as "The Data Governance Coach," has spent over a decade helping global organizations successfully implement data governance initiatives. In addition to coaching and consulting, she leads training courses to help people utilize data for solving problems and improving decision-making.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Edureka
APRIL 19, 2024
Embarking on the creation of AI persona chatbots opens up a thrilling and financially rewarding chapter in the realm of artificial intelligence chatbots. This innovative venture stands out because it normalizes the field of AI, removing the barrier of technical expertise. In other words, you don’t need to be a programmer or have any coding background to dive into this creative process of building a chatbot using prompt engineering.
Hevo
APRIL 19, 2024
The ELT process has modernized data pipelines, fastened your data loading speed, and facilitated efficient data analysis. However, there is still a delay in the analysis and the time to obtain reports and insights, as your analysts have to run a few additional data transformation jobs at the warehouse to clean and format the data.
Edureka
APRIL 19, 2024
Fundamentally, social engineering is not the same as a cyberattack. Rather, social engineering relies heavily on the psychology of convincing, attacking the mind like a classic with artists. The idea is to win targets over to the idea that you are trustworthy so they will let down their defenses and be more likely to engage in risky behavior, like disclosing personal information, opening potentially malicious attachments, or clicking on web links.
Hevo
APRIL 19, 2024
Hevo offers an automated schema mapper that eliminates the manual hassle of managing schema for your data team. However, there are use cases where your data team requires control over the destination schema. You want to load data to an existing table in your warehouse, or you could be following a data nomenclature or structure.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Edureka
APRIL 19, 2024
As the field of DevOps is gaining massive popularity due to its cross-functional efficiency, the role of DevOps Architect is gaining equal importance among aspiring professionals. Bridging the gap between the development and operations team, a DevOps Architect is responsible for establishing work pipelines and basic project architecture to provide a direction to a project.
Hevo
APRIL 19, 2024
Niklas Lang is the founder and lead author of Data Basecamp, a machine learning blog that aims to offer easy explanations of data science and artificial intelligence. He uses the power of data to find growth opportunities and automate repetitive tasks.
Edureka
APRIL 19, 2024
In the fast-changing world of artificial intelligence, a new tool called Midjourney has captured the attention of artists, designers, and anyone interested in creativity. This AI-driven image creation platform has quickly become popular because it allows users to turn their ideas into visually stunning pieces of art. By entering simple text descriptions, Midjourney uses powerful machine-learning technology to create realistic and highly detailed images.
Hevo
APRIL 19, 2024
After being acquired by Google in early 2019, Alooma has removed support for data warehouses that are not part of the Google cloud. This has been beneficial for Google users, thus helping to focus more on the Analytics and business side — Thanks to its automation capabilities!
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Edureka
APRIL 19, 2024
Large Language Models (LLMs)! Have you ever wondered how machines understand and generate human-like text? LLMs, such as GPT-3 and BERT, are advanced AI systems trained on massive amounts of text data. They use complex algorithms to analyze patterns in language, allowing them to generate coherent and contextually relevant text. These models have revolutionized natural language processing, powering applications like language translation, sentiment analysis, and text generation.
Hevo
APRIL 19, 2024
About the Author Can Goktug Ozdem is the founder of Datrick. He is a data engineer with over nine years of experience in the field. He is a big fan of remote work and is passionate about bringing insights through data while traveling to different parts of the world.
Hevo
APRIL 19, 2024
TokuDB displays high-performance and provides much higher storage capabilities, all without slowing down. Hence, organizations with a write-heavy load for their databases will be motivated to use TokuDB instead of the typical InnoDB engine for MySQL.
Hevo
APRIL 19, 2024
Storing and querying massive datasets is a huge challenge especially if you lack the right hardware and infrastructure. Organizations of all sizes are looking to leverage the scale, simplicity, and security of deploying their data infrastructure on data warehouses. Google BigQuery is one such data warehouse that is tailored for analyzing data at scale.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Hevo
APRIL 19, 2024
A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate flow of information for analytics and Machine Learning tasks becomes crucial for businesses.
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