Analytics Vidhya

FEBRUARY 15, 2023

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions. Source: dataedo.com It is designed to handle big data and is ideal for […] The post Best Practices For Loading and Querying Large Datasets in GCP BigQuery appeared first on Analytics Vidhya.

Datasets 201

Datasets Big Data Designing Data Analysis 201

Confluent

FEBRUARY 15, 2023

There are two main consumer group memberships in Apache Kafka®. Here’s how static and dynamic consumer groups work, how they affect rebalancing, and which to choose for your application.

Kafka 120

Kafka 120

KDnuggets

FEBRUARY 15, 2023

Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know • Python Function Arguments: A Definitive Guide • Making Intelligent Document Processing Smarter: Part 1 • Optimizing Python Code Performance: A Deep Dive into Python Profilers

Python 108

Python Coding Process 108

The Modern Data Company

FEBRUARY 15, 2023

Technology moves fast. Sometimes solutions to big challenges already exist, but more often, a problem appears before a solution. Companies must then take creative measures to “fix” technology challenges, leaving them with temporary solutions that quickly obsolesce. You can’t blame companies for playing the cards they’re given, but now data debt is costing companies more than they think, even when solutions seem to be working…for now.

Government 98

Government Data Governance Raw Data Data 98

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.

Data

KDnuggets

FEBRUARY 15, 2023

Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis.

Data Science 114

Data Science Data IT 114

Cloudera

FEBRUARY 15, 2023

This month’s #ClouderaLife Spotlight features software engineer Amogh Desai. Here we discuss his background, how he got started at Cloudera, and his recent win at the Cloudera 2022 Global Hackathon. Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category.

Software Engineer 83

Software Engineer Software Engineering Engineering Recruitment 83

DoorDash Engineering

FEBRUARY 15, 2023

Building an ML-powered delivery platform like DoorDash is a complex undertaking. It involves collaboration across numerous organizations and cross-functional teams. When this process works well, it can be an amazing experience to work on a product development team, ship ML models to production, and make them 1% better every day. The process usually starts with first identifying a product that we could improve by using Machine Learning.

Food 71

Food Machine Learning Architecture Building 71

databricks

FEBRUARY 15, 2023

New year, new integrations to announce! We're excited to introduce five new additions to Databricks Partner Connect– a centralized portal to help you f.

79

79

Ascend.io

FEBRUARY 15, 2023

I’ve had the good fortune to work at or start companies that were breaking new ground. Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. In 2007, I co-founded a company predicated on the idea that highly personalized signals would revolutionize the TV industry as we moved from “broadcast to broadband,” shifting from a one-to-many t

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Monte Carlo

FEBRUARY 15, 2023

Schema changes, null values, distribution errors. Data quality issues plague even the healthiest data systems. And as pipelines become increasingly complex with the adoption of distributed platform architectures, you can bet that data quality issues are destined to multiply right along with them. Uncovering data quality issues is critical to the success of any data platform.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

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.

Engineering

Ascend.io

FEBRUARY 15, 2023

I’ve had the good fortune to work at or start companies that were breaking new ground. Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. In 2007, I co-founded a company predicated on the idea that highly personalized signals would revolutionize the TV industry as we moved from “broadcast to broadband,” shifting from a one-to-many t

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Monte Carlo

FEBRUARY 15, 2023

Schema changes, null values, distribution errors. Data quality issues plague even the healthiest data systems. And as pipelines become increasingly complex with the adoption of distributed platform architectures, you can bet that data quality issues are destined to multiply right along with them. Uncovering data quality issues is critical to the success of any data platform.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

Edureka

FEBRUARY 15, 2023

No! ChatGPT did not write this for me! The banking, finance, and insurance sectors have been abuzz with artificial intelligence (AI) and machine learning (ML) for a while now. It created too much noise in the market after Chris Stone’s LinkedIn post spread like wildfire about how ChatGPT wrote his LinkedIn posts for a week. What is ChatGPT? ChatGPT is an advanced AI chatbot trained by OpenAI which interacts in a conversational way.

Deep Learning 52

Deep Learning Insurance Banking Finance 52

Hevo

FEBRUARY 15, 2023

‘Hey, how many customers do we receive through email? And, through which marketing channel do our customers rate our product the best?’ Do you have an answer to such questions from your team’s data analysts? If yes, great! If not, don’t worry. I’m here to help you with that.

Data 52

Data 52

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.

Building

ProjectPro

FEBRUARY 15, 2023

Data and business are the two powerful forces driving the modern world. Data is the collection of values and facts that tell a story and the other (business) is the engine of commerce and innovation. Have you ever wondered who are these professionals that wield these forces. They are the architects of the information age, data analysts and business analysts who with their skills and expertise build the bridge between data and business.

Business Analyst 52

Business Analyst Data Mining Big Data Data 52

Knowledge Hut

FEBRUARY 15, 2023

With rapid digitalization, the world now has more access to data. This has resulted in higher demands for candidates in the data and analytics domain. Business analytics is one such high-in-demand career path. Due to data availability and business market size growth, business analysts are recruited by most top fortune companies. And the US is no exception to this scenario.

Business Analyst 52

Business Analyst Recruitment Pharmaceutical Finance 52

Towards Data Science

FEBRUARY 15, 2023

A Definitive Guide to Advanced Use of MLflow Continue reading on Towards Data Science »

Project 73

Project Data Science Data Machine Learning 73

Knowledge Hut

FEBRUARY 15, 2023

Business analytics is a diverse domain comprising multiple elements that business owners look up to leverage revenue and growth. Business analysts are in high demand worldwide, especially in countries like the USA, Singapore, UK, Australia, Japan and so on. Currently, there are more than 22,000 business analyst jobs in Singapore. These jobs are offered by various levels of enterprises, from fortune 500 companies to various promising startups.

Business Analyst 52

Business Analyst Insurance Business Intelligence Recruitment 52

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

Acceldata

FEBRUARY 15, 2023

FinOps is an essential component of a data mesh strategy. Learn how to use the Acceldata data observabaility platform for Clickhouse Monitoring.

Data 52

Data 52

Knowledge Hut

FEBRUARY 15, 2023

Software is the most sought-after industry worldwide because of the lucrative jobs it offers graduates and professionals. Companies are still under pressure from this climate to improve their employer brand, provide competitive pay, and diversify their talent pools by entering new markets. Upskilling and specialization are frequently the order of the day for engineers, with increasing demand – and the compensation that comes along with it – as the reward.

Software Engineer 52

Software Engineer Software Engineering Engineering Entertainment 52

dbt Developer Hub

FEBRUARY 15, 2023

The new dbt Certification Program has been created by dbt Labs to codify the data development best practices that enable safe, confident, and impactful use of dbt. Taking the Certification allows dbt users to get recognized for the skills they’ve honed, and stand out to organizations seeking dbt expertise. Over the last few months, Montreal Analytics , a full-stack data consultancy servicing organizations across North America, has had over 25 dbt Analytics Engineers become certified, earning the

Certification 119

Certification Consulting BI SQL 119

Knowledge Hut

FEBRUARY 15, 2023

Singapore continues to be the top Asian location for the largest tech companies and startups in the world. Singapore, one of Asia's top regional technological hubs, is predicted to become the next Silicon Valley. According to a recent industry assessment, it will be the best innovation hub during the next four years. As a result, the demand for software engineers is always high in this island nation.

Software Engineer 52

Software Engineer Software Engineering Engineering Recruitment 52

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

Building

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years. I would like to emphasize the word “can” because there is a phrase in the world of programming that still holds, and probably ever will: garbage in, garbage out.

Data Lake 79

Data Lake Data Warehouse Hadoop Data Architecture 79

Knowledge Hut

FEBRUARY 15, 2023

Amongst the most endeavoring career options, the Software industry is blooming every day. Many students desire to become successful software engineers. Singapore is advancing towards becoming the largest tech modernization center in Asia. In recent times, Software, IT companies, and technically proficient engineers are shifting to Singapore. This is because of the high demand for software engineering jobs and the lucrative salary associated with it in Singapore.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Tweag

FEBRUARY 15, 2023

opam is a source-based package manager for OCaml. It is the de-facto standard for package management in the OCaml ecosystem. opam’s main package repository contains over 4000 individual packages, on average spanning 7 versions each. Like many other language-specific package managers (e.g. cargo, cabal, etc.), opam performs four main tasks: Download the sources.

Project 136

Project Programming Language Building Systems 136

Knowledge Hut

FEBRUARY 15, 2023

Singapore's job market is filled with talented Data Analysts. By collecting data, they can make business decisions and identify patterns. Some organizations require these data investigators to help them understand their information, while others need them for more complicated tasks. The tools that data analysts use and the organizations they work with also differ greatly between different Data Analyst positions.

Consulting 52

Consulting Certification Utilities Data Science 52

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Certification

Data Engineering Weekly

FEBRUARY 15, 2023

We have now entered the era of data. Data is everywhere, and people who know how to use the data have become the new stars of the industry, with the proliferation of new data titles: data engineer, data scientist, data analyst, data ops engineer. The reasons for this data boom are two-fold: we can now process the data –both in terms of hardware and software– and the data is large enough to train models.

Process 52

Process Data Data Analytics Python 52

Knowledge Hut

FEBRUARY 15, 2023

Nowadays, most human activities have been digitalized. We rely on software applications for financial transactions, industrial process control, stock handling, and almost everything. Due to the widespread use of software applications in most fields, demand for software developers has also increased. Every sector demands work to be digitalized, and to put everything in the digital format, a software developer is imperative.

Programming Language 52

Programming Language Algorithm Education Programming 52

Snowflake

FEBRUARY 15, 2023

We’d like to share an illuminating anecdote that illustrates why it’s important for every employee to understand a company’s data strategy. The unlikely subject? Breakfast sausage. A French food services company saw orders of breakfast sausage spike dramatically at one site until it became the only item ordered. Nothing was wrong with their data pipelines and it was unlikely that croissants had fallen out of style, so the team dug deeper.

Food 52

Food Data Collection Data Data Warehouse 52

Knowledge Hut

FEBRUARY 15, 2023

Not very surprisingly, the amount of data used and shared between networks is infinite. This has led to data analysis being a vital element of most businesses. Data analysts are professionals who manage and analyze data that give insight into business goals and help align them. More than 2 quintillion data is being produced every day, creating a demand for data analyst professions.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

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