Thu.Jul 20, 2023

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Data Engineering Best Practices - #1. Data flow & Code

Start Data Engineering

1. Introduction 2. Sample project 3. Best practices 3.1. Use standard patterns that progressively transform your data 3.2. Ensure data is valid before exposing it to its consumers (aka data quality checks) 3.3. Avoid data duplicates with idempotent pipelines 3.4. Write DRY code & keep I/O separate from data transformation 3.5. Know the when, how, & what (aka metadata) of pipeline runs for easier debugging 3.

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Exploring the Power and Limitations of GPT-4

KDnuggets

Unveiling GPT-4: Deciphering its impact on data science and exploring its strengths and boundaries.

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Seven Things I Wish I Knew When I Started as a Software Developer by Beth Pritchard

Scott Logic

Armed with a maths degree and some self-taught Python, I was hired as a graduate developer at Scott Logic almost two years ago. In that time I’ve had a lot of experiences, including being on my first ever project with fellow graduates, joining my first client engagement, learning programming languages and technologies, participating in skills workshops, mentoring both new graduates and experienced team members, attending conferences and panel discussions, writing blog posts, and losing a large n

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A Beginner’s Guide to Data Engineering

KDnuggets

So you want to break into data engineering? Start today by learning more about data engineering and the fundamental concepts.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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SQL Scripting with Event Tables

Cloudyard

Read Time: 1 Minute, 38 Second During the previous post we discussed the usage of EVENT table with Python and Javascript procedure. In continuation of the same we will explore how we can leverage the EVENT tables in SQL scripting. We will use the EVENT tables to log the error and other details through SQL scripting procedure. Consider the scenario that we have external stage defined in our account.

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Unlock DataOps Success with DataOps.live: Featured in Gartner Market Guide!

KDnuggets

To learn more about the DataOps market, download your free copy of the Gartner Market Guide for DataOps Tools.

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Databricks and Posit announce new integrations, simplifying Lakehouse access for developers

databricks

Today, Databricks and Posit are thrilled to announce a strategic partnership to provide R and Python developers with an simplified development experience when.

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Forget PIP, Conda, and requirements.txt! Use Poetry Instead And Thank Me Later

KDnuggets

Pain-free dependency management is finally here.

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Estimating Customer Lifetime Value on the Lakehouse

databricks

In Driving Digital Strategy, Dr. Sunil Gupta points out that “20% percent of your customers account for 200% of your profits.” The implication of.

Retail 61
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Automate SAP® Processes for Agility, Resiliency, and Success

Precisely

In a disruptive market, agility and speed are key to success and a competitive edge – and automating your critical SAP ® processes helps unlock those capabilities. In other words, automation is your peace of mind in uncertain times. With business disruptions more abundant than ever in recent years, our team at Precisely has identified three core needs: Agility to pivot quickly and adjust to market changes in real time.

Process 40
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Get Better Network Graphs & Save Analysts Time

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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What Is DevSecOps and How Does It Work?

Edureka

Keeping their apps and data secure is an ongoing struggle for organisations in the quickly changing world of software development. Traditional development approaches frequently prioritise functionality and time to market over security, which creates flaws that coubad actors could useevSecOps has arisen as a complete strategy incorporating security practises throughout the entire software development lifecycle to fill this gap.

IT 40
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Keylogger: How They Work and How to Detect Them

Knowledge Hut

Securing personal information and sensitive data is crucial in today's digital age. Keylogger is stealthy malware that records keystrokes on devices, granting access to passwords, credit card details, and personal messages. To enhance cybersecurity, learn about keyloggers, and take proactive measures, you can take the best online Cyber Security courses.

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Python Modulo in Practice: How to Use the % Operator

Edureka

The modulo operation is performed in Python using the % operator, also called the “modulo” operator. When two numbers are split by one another, the modulo operation determines the residual. It is a basic mathematical operation, and the% operator in Python is a flexible tool with a number of uses. In this blog, we’ll discuss the specifics of using Python’s the% operator and some of its many applications.

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Image Encryption: An Information Security Perceptive

Knowledge Hut

Today, there are hordes of online photo encryption tools available to encrypt photos online. All of them use image encryption to hide them from unauthorized access. They use encryption techniques like AES, DES, Blowfish, and so on. Learning image encryption is necessary to understand cybersecurity. You can use Cyber Security course content to develop an in-depth understanding of image encryption and many other concepts pertaining to cybersecurity.

Medical 40
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Google Sheets to Amazon Aurora: 2 Easy Ways to Integrate Data

Hevo

You might be using Google Sheets to store and analyze data from various sources. However, Google Sheets cannot hold massive amounts of data due to its limit on the number of rows and amount of data it can hold.

Data 40
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Eliminate Data Blind Spots | Acceldata

Acceldata

Learn how enterprise data teams can apply best practices to eliminate data blind spots and improve overall productivity across their data environments.

Data 40
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How Zero ETL Helps to Extract Timely Insights Without Traditional Hassles?

Hevo

How far has your team reached in the journey to extract timely insights from transactional data? Every purchase and financial trade holds the key to unlocking core business drivers, propelling sales, cutting costs, and seizing the elusive competitive advantage. Yet, the road to near real-time analytics has been paved with obstacles—until now.

Data 40
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Confluent Champion Richard’s Journey: From a Degree in Psychology to a Career in Tech Sales

Confluent

Meet Global Cloud SDR Manager Richard Nwankwo and learn about his career journey at Confluent.

Cloud 40
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Understanding User Needs and Satisfying Them

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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Facebook Ads to Firebolt: 2 Easy Ways to Integrate Data

Hevo

A comprehensive analysis of your marketing data will help you gain actionable insights and improve your campaign performance. Facebook Ads, one of the popular advertising platforms, offers impressive targeting capabilities for business growth. However, by moving data from Facebook Ads to Firebolt, you can further unlock the potential to optimize the marketing strategy.

Data 40
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Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only deepdive on Advice on how to sell a startup. To get full issues twice a week, subscribe here.

Building 203
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Strings in Java with Examples

Knowledge Hut

“Strings” are one of the basic data types in programming. They have a particular place in the world of programmers. By understanding the nuances of strings and utilizing their potential, Java developers can substantially improve their ability to manage and process text data effectively. Strings are fundamental in many aspects of Java programming, from straightforward string operations to sophisticated text processing techniques.

Java 40
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What Is Metasploit Framework and How To Use Metasploit

Knowledge Hut

The Metasploit Framework Project, developed by H.D. Moore in 2003, is a cybersecurity initiative that provides crucial information on network vulnerabilities and aids in penetration testing to produce IDS signatures. Acquired by Boston-based enterprise Rapid7 in 2009, the project has since introduced Metasploit Express and Metasploit Pro, proprietary versions, to enhance its offerings.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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ArrayList in Java With Examples?

Knowledge Hut

The Collection framework of Java plays an important role in the Java language. In the Collection framework, we have different types of classes and interfaces. It provides an architecture to store and manipulate objects or data. It allows us to perform all operations like searching, sorting, deletion, addition, and manipulation of the data or objects.

Java 40
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What are Comments in Python and how to use them?

Knowledge Hut

Python is a well-liked programming language renowned for its elegance, simplicity, and adaptability. Comments are a useful but often overlooked feature that developers encounter when exploring the world of Python. Despite their apparent simplicity, comments can improve code quality by promoting expertise, clarity, and collaboration throughout the program.

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