KDnuggets

SEPTEMBER 5, 2023

This step-by-step tutorial is for beginners to guide them through the process of data cleaning and preprocessing using the powerful Pandas library.

Data 109

Data Process Data Science 109

Confluent

SEPTEMBER 5, 2023

Want to run Kafka on AWS? Our full tutorial provides expert recommendations on how to deploy, monitor, and manage Kafka clusters on AWS.

Kafka 98

Kafka AWS Designing Management 98

KDnuggets

SEPTEMBER 5, 2023

Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

Data Pipeline 104

Data Pipeline Kafka Building Python 104

ArcGIS

SEPTEMBER 5, 2023

Access a vast collection of satellite imagery with new EarthCache add-In for ArcGIS Pro.

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Accessible Accessibility 116

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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

KDnuggets

SEPTEMBER 5, 2023

From cleaning data to wowing recruiters - this blog shares 5 killer data science projects to launch your data science career and get hired!

Data Science 107

Data Science Portfolio Project Recruitment 107

databricks

SEPTEMBER 5, 2023

In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India.

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Building 92

Engineering at Meta

SEPTEMBER 5, 2023

Ever wonder what it’s like to write code at Meta’s scale? On the latest episode of the Meta Tech Podcast , Meta engineer Pascal Hartig ( @passy ) sits down with Dustin Shahidehpour and Katherine Zak, two software engineers at Meta, about their careers and what it’s really like to ship code at Meta. Why does Meta have a monorepo?

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Coding IT Software Engineer Software Engineering 78

Workfall

SEPTEMBER 5, 2023

Reading Time: 10 minutes What is Reflection API? Reflection API is one of the best features in Java. A programmer can use this API to write any logic for classes that will be generated in the future. In simple words, it refers to the ability of a running Java program to look at itself and understand its own internal details. It allows the program to examine and access information about its own components, such as the names of its variables and functions.

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Java Programming Coding Programming Language 70

databricks

SEPTEMBER 5, 2023

In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India.

Building 73

Building 73

Ascend.io

SEPTEMBER 5, 2023

In the fast-evolving landscape of cloud data solutions, Snowflake has consistently been at the forefront of innovation, offering enterprises sophisticated tools to optimize their data management. The introduction of Snowflake Snowpark is yet another leap forward, transforming data warehousing and revolutionizing the way customers engage with this platform.

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IT Scala Java Programming Language 59

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Towards Data Science

SEPTEMBER 5, 2023

Establishing data pipelines towards automated spatial data science Continue reading on Towards Data Science »

Data Engineering 73

Data Engineering Data Engineer Engineering Data Science 73

Precisely

SEPTEMBER 5, 2023

Data is pivotal for the success of business operations. With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

Data Governance 52

Data Governance Government Data Management Management 52

Knowledge Hut

SEPTEMBER 5, 2023

Quality Management Certifications are crucial credentials in the professional realm. There are various quality management certifications online that are offered to professionals looking to hone their skills. In this article, I will discuss in depth with you what quality management certifications are, the various types of quality management certifications, and globally recognized institutes that offer Quality Management courses.

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Certification Pharmaceutical Management Food 52

Cloudyard

SEPTEMBER 5, 2023

Read Time: 3 Minute, 30 Second In this post, we will explore a use case involving Dynamic Tables. Imagine a scenario where a customer uploads a feed file to an S3 bucket. A Snowpipe has been set up on the bucket to ingest the file into a Snowflake staging table as soon as a file upload notification is received. Dynamic tables are then generated on top of these staging tables to store the most recent dataset received from the source system.

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Datasets Systems Process IT 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

Retail Insight

SEPTEMBER 5, 2023

Grocers and their suppliers have access to unprecedented levels of data. The problem is that they have struggled to realize the opportunities amongst this noise.

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Retail Technology Accessible Accessibility 52

Towards Data Science

SEPTEMBER 5, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure Written by: Johannes Schmidt As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers. Recently, we had an interesting challenge: one of our customers had developed an optimisation algorithm that they wanted to run on a container-based platform in the cloud.

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Algorithm Architecture Python Designing 64

Pinterest Engineering

SEPTEMBER 5, 2023

Pong Eksombatchai | Principal Engineer; Karthik Anantha Padmanabhan | Manager II, Engineering Image from [link] Pinterest’s mission is to bring everyone the inspiration to create a life they love. We rely on an extensive suite of AI powered products to connect over 460M users to hundreds of billions of Pins, resulting in hundreds of millions of ML inferences per second, hundreds of thousands of ML training jobs per month by just a couple of hundreds of ML engineers.

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Engineering Deep Learning Architecture Project 91

Snowflake

SEPTEMBER 5, 2023

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

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Medical Python Government Datasets 112

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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