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.
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.
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KDnuggets
OCTOBER 3, 2024
Want to create data science resumes that land interview calls and jobs? Avoid these common mistakes.
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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
dbt Developer Hub
OCTOBER 3, 2024
If you haven’t paid attention to the data industry news cycle, you might have missed the recent excitement centered around an open table format called Apache Iceberg™. It’s one of many open table formats like Delta Lake, Hudi, and Hive. These formats are changing the way data is stored and metadata accessed. They are groundbreaking in many ways. But I have to be honest: I don’t care.
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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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.
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.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Striim
OCTOBER 3, 2024
In the fast-paced world of retail, the ability to harness data effectively is crucial for staying ahead. On September 18, 2024, at Big Data London, Morrisons shared its digital transformation journey through the presentation, “Learn How Morrisons is Accelerating the Availability of Actionable Data at Scale with Google and Striim.” Peter Laflin , Chief Data Officer at Morrisons, outlined the supermarket chain’s strategic partnership with Striim, a global leader in real-time data integ
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.
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.
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