KDnuggets
FEBRUARY 1, 2022
Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.
Data Engineering Podcast
JANUARY 30, 2022
Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. He recently wrote a book on effective patterns for Pandas code, and in this episode he shares advice on how to write efficient data processing routines
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Cloudera
FEBRUARY 1, 2022
Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes.
Confluent
FEBRUARY 3, 2022
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […].
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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
FEBRUARY 1, 2022
If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.
Data Engineering Podcast
JANUARY 30, 2022
Summary The Data Engineering Podcast has been going for five years now and has included conversations and interviews with a huge number of guests, covering a broad range of topics. In addition to that, the host curated the essays contained in the book "97 Things Every Data Engineer Should Know", using the knowledge and context gained from running the show to inform the selection process.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Netflix Tech
FEBRUARY 1, 2022
By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists. You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles.
KDnuggets
FEBRUARY 4, 2022
Read this guide through the most common data science programming languages and when to use them in data science.
Cloudera
FEBRUARY 4, 2022
This blog post provides an overview of the HBase to CDP Operational Database (COD) migration process. CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale and is fully integrated with Cloudera Data Platform (CDP).
ProjectPro
FEBRUARY 4, 2022
From sending letters in physical mailboxes to direct messages through your favorite social media application, the explosion of text has been astronomical. The innovation and development of mobile devices and computers helped push this increase, and this geometric growth has called for innovative ways to understand and process text. With machine learning taking some significant leaps in the early 2010s, model creation and prediction have been refined to mirror human understanding of linguistic ex
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.
dbt Developer Hub
FEBRUARY 2, 2022
Measuring the number of business hours between two dates using SQL is one of those classic problems that sounds simple yet has plagued analysts since time immemorial. This comes up in a couple places at dbt Labs: Calculating the time it takes for a support ticket to be solved Measuring team performance against response time SLAs We internally refer to this at "Time on Task," and it can be a critical data point for customer or client facing teams.
KDnuggets
FEBRUARY 3, 2022
For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. .
U-Next
FEBRUARY 3, 2022
How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.
Rockset
FEBRUARY 2, 2022
MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. These features enable development teams to iterate and pivot quickly and efficiently. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications.
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
FEBRUARY 2, 2022
In our Microservices Architecture, services communicate both asynchronous via events and synchronous via REST calls. Frequently, a synchronous REST call modifies data in a data store and emits an event based on the changes made. Publishing data change events can be decoupled from performing the changes in the data store in order to increase the resilience of the application.
KDnuggets
FEBRUARY 3, 2022
Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?
U-Next
FEBRUARY 2, 2022
Whether it is to improve efficiency or monitor the progress of a mission, being updated on the general information about the business, the most reliable source is the data. However, the data usually obtained are massive and quite raw in quality. Without the necessary refining, processing, categorizing, and filtering, the data is not of much actual use.
ProjectPro
FEBRUARY 1, 2022
According to Harvard business review, data scientist jobs have been termed “The Sexist job of the 21st century” by Harvard business review. Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil.
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.
Confluent
FEBRUARY 1, 2022
In four years, Thierry Mbemba has gone from an entry-level salesman at Confluent to one of the leading producers on the company’s worldwide sales team. A customer relationships driver who […].
KDnuggets
FEBRUARY 2, 2022
Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
U-Next
FEBRUARY 2, 2022
The biggest drawback of traditional education is the lack of practical experience concerning the skills we master. With the industries becoming highly competitive and application-oriented, theoretical knowledge would never be sufficient to make it big in any domain. Having identified this colossal knowledge gap, the Integrated Program in Business analytics by IIM Indore, in collaboration with Jigsaw, was designed to provide learners the perfect balance between theoretical knowledge and practical
ProjectPro
JANUARY 31, 2022
As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. With around 5774 companies using it, Snowflake has recently been added to the top 20 most valued worldwide unicorns and the top 10 most expensive US unicorns.
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.
Grouparoo
JANUARY 30, 2022
The v0.8 release is our first major iteration on the user interface for creating your data pipeline. In the v0.7 release, we added Models, which allowed data engineers to sync multiple data schemas to Destinations. This release summarizes those Models better in the UI, giving you a clearer overview of the configuration, making it quicker and easier to sync your data.
KDnuggets
JANUARY 31, 2022
Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.
U-Next
FEBRUARY 2, 2022
How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.
Monte Carlo
JANUARY 31, 2022
Learn how today’s best data engineering and analytics leaders are staying ahead of the competition in our exclusive guide. In 2022, every company is a data company. Organizations across industries have access to—and have come to rely on—a tidal wave of proprietary and third-party data. At the same time, the complexity of data sources, pipelines, and workflows is increasing.
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.
RudderStack
FEBRUARY 1, 2022
With RudderStack and Iterable, it’s as easy to collect the data required for great customer experiences as it is to use information to create them
KDnuggets
FEBRUARY 1, 2022
If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.
U-Next
FEBRUARY 3, 2022
Whether it is to improve efficiency or monitor the progress of a mission, being updated on the general information about the business, the most reliable source is the data. However, the data usually obtained are massive and quite raw in quality. Without the necessary refining, processing, categorizing, and filtering, the data is not of much actual use.
Elder Research
FEBRUARY 1, 2022
The post Training is NOT Optional appeared first on Elder Research.
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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