Jesse Anderson

SEPTEMBER 14, 2023

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. It is interesting to see the general public having the same amount of excitement as there was a year ago in the LLM space.

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Waitingforcode

SEPTEMBER 14, 2023

I won't hide it, I'm still a fresher in the Apache Flink world and despite my past streaming experiences with Apache Spark Structured Streaming and GCP Dataflow, I need to learn. And to learn a new tool or concept, there is nothing better than watching some conference talks!

IT 130

IT 130

KDnuggets

SEPTEMBER 14, 2023

KDnuggets reviews a diverse set of 5 AI tools to help maximize your productivity. Have a look and see what our recommendations include.

126

126

Booking.com Engineering

SEPTEMBER 14, 2023

source Software development is all about change. And, over the lifespan of our software, the goal is to implement required changes in a reasonable amount of time. Whether the changes are technical in nature, like an urgent security upgrade, or stem from a business need, such as building a new feature to make us more competitive in target markets — how fast we can change is critical.

Coding 98

Coding Architecture Software Engineer Software Engineering 98

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

databricks

SEPTEMBER 14, 2023

As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7. A.

Engineering 118

Engineering Machine Learning 118

ArcGIS

SEPTEMBER 14, 2023

Updated data from the Watershed Boundary Dataset (WBD) are added to Living Atlas as new feature services.

Datasets 127

Datasets Data 127

KDnuggets

SEPTEMBER 14, 2023

Flexible schedules designed for working professionals. Enrolling now for October 2023 and March 2024.

Programming 122

Programming Data Science Designing Data 122

Snowflake

SEPTEMBER 14, 2023

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. Companies hampered by legacy data architectures are often plagued by a high total cost of ownership (TCO), an inability to govern data, and a lack of scalability as their data volumes grow. “As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.

Data Architecture 98

Data Architecture Architecture Hadoop Data Warehouse 98

KDnuggets

SEPTEMBER 14, 2023

Mastering the Basics of Linear Regression and Fundamentals of Gradient Descent and Loss Minimization.

Machine Learning 122

Machine Learning 122

Towards Data Science

SEPTEMBER 14, 2023

Here’s why you should avoid representing paths as strings and use Pathlib instead Continue reading on Towards Data Science »

Python 94

Python Data Science Data Technology 94

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Database

KDnuggets

SEPTEMBER 14, 2023

The pillars of data-driven decisions.

Data 103

Data Data Science 103

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Its unparalleled flexibility, user-friendly approach, and a rich suite of specialized libraries make it an unmatched choice.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

WeCloudData

SEPTEMBER 14, 2023

I almost called this blog ‘Things I Would Have Loved to Have Known Before Starting Out on a Career in Data Science’. Given the content of this blog, that sentiment remains true. I think the information contained here will be valuable to anyone looking to meaningfully and concretely familiarize themselves with the data science landscape […] The post The Future of Data Science: Job Trends, Skills, and Technologies You Need to Know appeared first on WeCloudData.

Data Science 52

Data Science Technology Data 52

Edureka

SEPTEMBER 14, 2023

Hello everyone, your digital life must be protected from the ever-changing cyber threat scenario. The more we use the internet for everything from personal relationships to business dealings, the more we need to be careful about what information about ourselves we share online. In this blog I will be telling you about Top 10 ways to protect your system from Malware attacks.

Education 52

Education Media Programming Banking 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Confluent

SEPTEMBER 14, 2023

Learn how to use Apache Flink to build a Java pipeline that consumes clickstream data from Apache Kafka.

Kafka 70

Kafka Programming Java Building 70

Snowflake

SEPTEMBER 14, 2023

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable. To help marketers understand the rapidly changing world of data technology, we’ve just released our second annual Modern Marketing Data Stack report.

Media 86

Media Technology Datasets Data 86

Precisely

SEPTEMBER 14, 2023

Unprecedented economic uncertainty has disrupted businesses like never before, in financial services and beyond including a sustainable compliance strategy. 40% of data and analytics professionals report that their organizations have decreased staff/resources as a result of economic downturn, and 37% report a decrease in budget, according to the 2023 Data Integrity Insights and Trends Report , published in partnership between Precisely and Drexel University’s LeBow College of Business.

Data Integration 52

Data Integration Government Data Governance Programming 52