KDnuggets
NOVEMBER 29, 2021
The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.
Confluent
DECEMBER 1, 2021
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […].
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Cloudera
DECEMBER 2, 2021
For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.
Data Engineering Podcast
NOVEMBER 27, 2021
Summary The data that you have access to affects the questions that you can answer. By using external data sources you can drastically increase the range of analysis that is available to your organization. The challenge comes in all of the operational aspects of finding, accessing, organizing, and serving that data. In this episode Mark Hookey discusses how he and his team at Demyst do all of the DataOps for external data sources so that you don’t have to, including the systems necessary t
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
DECEMBER 1, 2021
This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.
Confluent
DECEMBER 3, 2021
Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […].
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Podcast
NOVEMBER 27, 2021
Summary The modern data stack has been gaining a lot of attention recently with a rapidly growing set of managed services for different stages of the data lifecycle. With all of the available options it is possible to run a scalable, production grade data platform with a small team, but there are still sharp edges and integration challenges to work through.
KDnuggets
DECEMBER 3, 2021
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.
Zalando Engineering
NOVEMBER 29, 2021
Introduction While technical debt is a recurring issue in software engineering, the case of the Merchant Orders team within Zalando Direct was a an outlier as, due to a lack of a clearly defined process, technical debt more or less only ever accumulated. When I joined this team in autumn 2020 as its new engineering lead, the technical debt backlog had entries dating back to 2018.
DataKitchen
NOVEMBER 29, 2021
DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Teradata
DECEMBER 1, 2021
M&A is an important part of an organization's growth strategy. Getting reference data right can be foundational to overcoming many challenges that come with it.
KDnuggets
NOVEMBER 29, 2021
Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.
Cloudera
NOVEMBER 29, 2021
Data transforms businesses. When done right it creates value and allows business leaders to make the most advantageous decisions, in real-time. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The Data Impact Awards 2021 aim to recognize and reward the various organizations taking advantage of the latest Big Data services to successfully manage large amounts o
Rockset
DECEMBER 1, 2021
“At every step in this process, I’ve been consistently impressed by the quality and caliber of the team." On Monday, I joined Rockset. I am joining Rockset as its first director of engineering and first external manager hire. I come here from Facebook, where I spent the last 10 years building and supporting teams. Most of my work was in the core C++ libraries and distributed systems components that power Facebook’s infrastructure.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Zalando Engineering
DECEMBER 1, 2021
This blog post explains to you which tools to use to serve geospatial data from a database system (PostgreSQL) to your web browser. All you need is a database server for the data, a web map application for the frontend and a small service in between to transfer user requests. I will also show you how these components can run on top of Kubernetes in a highly available cloud native fashion.
KDnuggets
NOVEMBER 30, 2021
After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.
Cloudera
NOVEMBER 30, 2021
This guest blog was written by Shanice Omare, Research Manager, Vanson Bourne. Organizations’ resiliency in the wake of the pandemic . So much has changed for organizations in recent times, with the pandemic accelerating shifts toward a more digital world. Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency.
ProjectPro
NOVEMBER 30, 2021
We all are aware of the advancements in technology; new terminologies are coming in with these advancements. Everyone wants to keep up with this, wanting to sound tech-savvy. To ensure this, it is important to understand the exact meaning of the terminologies before we use them. Data is the New Fuel. We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
dbt Developer Hub
NOVEMBER 28, 2021
If you’ve spoken to me lately, follow me on Twitter , or have taken my order at Wendy’s , you probably know how much I hate traditional dashboards. My dad, a psychotherapist, has been working with me to get to the root of my upbringing that led to this deep-rooted feeling. As it turns out, the cause of my feelings towards traditional dashboarding are actually quite obvious.
KDnuggets
DECEMBER 2, 2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
Teradata
NOVEMBER 29, 2021
Retail and CPG leaders of the future need to successfully leverage analytics at speed and scale to drive performance. Find out more.
ProjectPro
NOVEMBER 30, 2021
Deep learning was developed in the early 1940s to mimic the neural networks of the human brain. However, it did not garner enough interest due to limited computation power and storage options. However, in the last few decades, deep learning has unleashed itself into the world. Its massive evolution is also the result of substantial research labs and industry players like Facebook, Google, Apple, Netflix, Microsoft, Baidu, and IBM investing in its research. 85% of data science platform vendors ha
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
dbt Developer Hub
NOVEMBER 28, 2021
Most organizations spend at least some of their time contributing to an open source project. 100% of them, though, depend in some way on the output of open source communities. In fact we all do. The work of communities can be found everywhere - in the cell phone that wakes you up, the machine that makes your coffee, the car that drives you to get better coffee, the magic app that brings you dinner, and the television that lulls you back to sleep.
KDnuggets
NOVEMBER 29, 2021
Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.
Rock the JVM
DECEMBER 3, 2021
Explore core Scala constructs from a fresh perspective and uncover new insights into their use and application
ProjectPro
NOVEMBER 30, 2021
If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. If not, then don't worry. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
dbt Developer Hub
NOVEMBER 28, 2021
Airflow and dbt are often framed as either / or: You either build SQL transformations using Airflow’s SQL database operators (like SnowflakeOperator ), or develop them in a dbt project. You either orchestrate dbt models in Airflow, or you deploy them using dbt Cloud. In my experience, these are false dichotomies, that sound great as hot takes but don’t really help us do our jobs as data people.
KDnuggets
NOVEMBER 30, 2021
In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.
Grouparoo
NOVEMBER 29, 2021
The data source is the location of the data that the processing will consume for data processing functions. This can be the point of origin of the data, the place of its creation. Alternatively, this can be data generated by another process and then made available for subsequent processing. Therefore, the source data may be raw, unfiltered, and unrefined, or polished and fully formed.
ProjectPro
NOVEMBER 30, 2021
Your search for business analyst project examples ends here. This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. Business analysts are the demand of the twenty-first century! One can easily affirm this by looking at a report by the U.S.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
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