Sat.Jan 15, 2022 - Fri.Jan 21, 2022

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How to Grow as a Data Scientist in an Ever-Changing World

KDnuggets

Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

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How to Make A Successful Comeback After A Career Break

U-Next

At a recent training for fresher hire as part of an MNC’s analytics training program, my colleague Dr. Chetana highlighted that only 10% of the hires were women. TrustRadius reported that in 2021, 72% of women in tech are outnumbered by men in business meetings by at least a 2:1 ratio. Women are less than 1/3rd of the employees in many tech companies.

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How Data is Helping Organizations to Improve the Employee Lifecycle

Cloudera

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. Entrants in this category were asked to demonstrate how they have addressed the world’s “most difficult workplace and societal challenges” with solutions aimed at transforming work culture and society as a whole.

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A busy year ahead in low-code and no-code development

DataKitchen

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.

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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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Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

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Channel Your Inner Business Analyst With The Right Upskilling Program

U-Next

A domain with applications across multiple industries from Agriculture to Transport, Business Analytics is all about making data-driven decisions for maximum business revenue. Even though this field has established a strong presence over the years, there’s an array of opportunities and growth still waiting to be transformed into reality. . According to IMARC Group’s latest report , the global BPO business analytics market is expected to grow at a CAGR of around 25% during 2021-2026.

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Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB

Confluent

A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […].

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Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging

KDnuggets

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

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U-Next - Untitled Article

U-Next

Introduction. The evolution of workplaces has seen people being hired for more than just their educational qualifications. The criteria for being hired has seen a tremendous shift in the digital age. Along with skill and knowledge in the necessary domain, companies are keen on hiring professionals with strong critical thinking capabilities. This ensures that the employees are able to deal with real-time issues with a practical approach. .

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Cloudera Streaming Analytics 1.6 Release Notes

Cloudera

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions.

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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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Data Mesh and the City Planner

Teradata

Data mesh planning is a lot like city planning, with both city and data mesh planners aiming to provide as much freedom and flexibility as possible to encourage business growth.

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Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

KDnuggets

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

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Data Scientist Learning Path, Career Track & Roadmap for 2023

ProjectPro

Data science has emerged as an exciting career path for students pursuing STEM. But, many are still not sure about the perfect roadmap to excel in this new domain. This data scientist career learning path is for beginners to smoothly kick start their journey in the fantastic field of data science. Data Science is a blend of advanced mathematics, probability, statistics, and computer programming.

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Customer Support at Confluent: Good People, Rapid Growth

Confluent

What’s it really like to spend your days helping Confluent customers? Below, Alex Altman (Senior Director of Americas Support), Sam Hecht (VP, Global Support and Success Engineering), and Anna McDonald […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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What Do I Do When My Snowflake Query Is Slow? Part 1: Diagnosis

Rockset

Because Rockset helps organizations achieve the data freshness and query speeds needed for real-time analytics , we sometimes are asked about approaches to improving query speed in databases in general, and in popular databases such as Snowflake, MongoDB, DynamoDB, MySQL and others. We turn to industry experts to get their insights and we pass on their recommendations.

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Top Stories, Jan 10-16: Is Data Science a Dying Career?

KDnuggets

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?

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Data-Driven Performance Improvements: What can retail learn from competitive cycling?

Retail Insight

When it comes to British cycling’s ascent from zero to hero after years in the dumps, the books have been written, the interviews given and the movies made, but it all came down to one thing. One percent to be precise. British Cycling’s savior, Dave Brailsford, used the theory of marginal gains to make small improvements in every possible area – training, diet, equipment, sleep, hygiene – to maximize performance and create a literal medal factory in the Olympics.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Data Engineering is gradually becoming a popular career option for young enthusiasts. What is the precise reason behind it? Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Furthermore, we will also lay out a learning path on how to become a data engineer that will help one explore this exciting domain.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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DataOps with Matillion and DataKitchen

DataKitchen

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises.

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Why Humbling Yourself Will Improve Your Data Science Skills

KDnuggets

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

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Announcing the Confluent Q1 ‘22 Launch

Confluent

The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […].

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The Data Janitor Letters - December 2021

Pipeline Data Engineering

Data engineering salon. News and interesting reads about the world of data. Databases in 2021: A Year in Review Dr. Andy Pavlo, Co-founder, OtterTune It was a wild year for the database industry, with newcomers overtaking the old guard, vendors fighting over benchmark numbers, and eye-popping funding rounds. We also had to say goodbye to some of our database friends through acquisitions, bankruptcies, or retractions.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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10 Common Applications of Deep Learning in Artificial Intelligence

ProjectPro

Not long ago, no one could have imagined how smart of a world we’re advancing into. Perhaps the unwavering emergence of Deep Learning Applications on each passing day is the prove, maybe, we're already lodging in – into an advanced world. The self-driving cars, virtual assistance, Siri and Alexa, Google Assistant, VR Oculus, and plenty of others demonstrated the actual model of the coming future – loaded with clever stuff.

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Data Quality: The Good, The Bad, and The Ugly

KDnuggets

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

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How Divya Fast-Tracked In Her Career Transformation With Data Science

U-Next

Working with enormous amounts of data and deriving meaningful insights is the most in-demand skillset in the current market. Data Science Specialists have emerged among the top 15 LinkedIn jobs in 2021. This has led to a steady increase in the number of fresh graduates and professionals seeking to equip themselves with the skills required to make a name for themselves in this booming field. .

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Building Custom Viz Plugins in Superset v2 (Updated for Monorepo)

Preset

While Apache Superset ships with 60 beautiful visualizations out of the box, they don't cover all of the use cases someone may have. In this post, we showcase how to create your own custom visualizations in Superset (updated for monorepo changes).

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Reflecting on Eventbrite’s Journey From Centralized Ops to DevOps

Eventbrite Engineering

Once a scrappy startup, Eventbrite has quickly grown into the market leader for live event ticketing globally. Our technical stack changed during the first few years, but as with most things that reach production, pieces and patterns lingered. Over the years, we leaned heavily into a Django, Python, MySQL stack, and our monolith grew. We … Continue reading "Reflecting on Eventbrite’s Journey From Centralized Ops to DevOps" The post Reflecting on Eventbrite’s Journey From Centralized Ops t

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The Best Learning Resources for Data Science in 2022

KDnuggets

Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.

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Why IIM Indore’s Integrated Program in Business Analytics Is Creating A Buzz Among Professionals?

U-Next

The Business Analytics domain is brimming with opportunities. As per The Bureau of Labor Statistics , Business Analysts’ demand will increase by 14% by 2024. It has led to a skyward trend in the number of professionals who are looking to upskill in this domain to gain a competitive advantage and emerge as Future Leaders. Jigsaw & IIM Indore’s Integrated Program in Business Analytics (IPBA) has proven to be the best upskilling program for many aspiring Business Analysts & Futu

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Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” -a Wall Street journal excerpt by Thomas H. Davenport, Analytics thought leader. In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. These two sectors have spurred technological advancements and a rising career path.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating