Confessions of a Data Guy
OCTOBER 3, 2024
I’ve been hacking around with tools and programming since Perl was a thing. I’ve worked the gambit of Data Platforms from large organizations to tiny startups, and all those in between. I’ve worked on Data Platforms that dropped ungodly amounts of money on SAP products, and places where we would build our own massive data […] The post Hosted (SaaS) vs DIY Data Tools appeared first on Confessions of a Data Guy.
KDnuggets
OCTOBER 3, 2024
Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Precisely
OCTOBER 3, 2024
Key Takeaways: As you embark on your own migration journey, there are some key big-picture questions to consider around the best approach to take for your business. In reviewing best practices for your AWS cloud migration, it’s crucial to define your business case first, and work from there. Migrating to AWS can unlock incredible value for your business, but it requires careful planning, risk management, and the right technical and organizational strategies.
KDnuggets
OCTOBER 3, 2024
Want to create data science resumes that land interview calls and jobs? Avoid these common mistakes.
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.
Engineering at Meta
OCTOBER 3, 2024
Data for Good at Meta is open-sourcing the data used to train our AI-powered population maps. We’re hoping that researchers and other organizations around the world will be able to leverage these tools to assist with a wide range of projects including those on climate adaptation, public health and disaster response. The dataset and code are available now on GitHub.
Knowledge Hut
OCTOBER 3, 2024
PMP certification validates your skills as a project manager and significantly enhances your career, similar to higher education but with a focus on practical experience. Before pursuing the certification, it’s crucial to weigh the advantages and disadvantages of project management. A table for advantages and disadvantages would be beneficial, as it helps clarify the pros and cons of the PMP process.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Hevo
OCTOBER 3, 2024
Amazon Redshift is an online, petabyte-scale Data Warehouse service. It is dedicated to enterprise use, collecting large amounts of data and extracting analysis and insights from it. Redshift helps organizations query large DBs in real-time. Nonetheless, Redshift provides flexibility in performance as long as the cost aspect is well-handled to minimize cloud expenses.
Towards Data Science
OCTOBER 3, 2024
Three important lessons I have learned on my journey as data engineer and architect Continue reading on Towards Data Science »
Monte Carlo
OCTOBER 3, 2024
As a data analyst, you’re responsible for delivering trusted insights to your stakeholders. Unfortunately, that trust often comes at the cost of your time (and maybe a little sleep as well). The truth is, most analysts lose hours profiling their data, identifying thresholds, creating manual rules , and following up on data quality issues—all to make sure the data products they deliver to stakeholders meet six dimensions of data quality or more.
Snowflake
OCTOBER 3, 2024
Natural language is rapidly becoming the bridge between human and machine communication. But hallucinations — when a model generates a false or misleading answer — continue to be the biggest barrier to the adoption of generative AI. Retrieval-augmented generation (RAG) allows enterprises to ground responses from LLMs in their specific organization’s data, reducing hallucinations, improving contextualized understanding and improving explainability.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
Monte Carlo
OCTOBER 3, 2024
As a data analyst, you’re responsible for delivering trusted insights to your stakeholders. Unfortunately, that trust often comes at the cost of your time (and maybe a little sleep as well). The truth is, most analysts lose hours profiling their data, identifying thresholds, creating manual rules , and following up on data quality issues—all to make sure the data products they deliver to stakeholders meet six dimensions of data quality or more.
Snowflake
OCTOBER 3, 2024
For the past couple years, generative AI has been the hot-button topic across my conversations with customers, prospects, partners and everyone in between. People want to know how they can harness the power of AI to become more innovative, efficient and competitive — and they want to do it as soon as possible. For many organizations, however, turning AI ideas into reality has proven elusive, with Harvard Business Review reporting that up to 80% of AI projects fail to make it into production.
Expert insights. Personalized for you.
114 
Let's personalize your content