WTF is a Tensor?!?
KDnuggets
MARCH 24, 2022
A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
KDnuggets
MARCH 24, 2022
A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
Cloudera
MARCH 24, 2022
Earlier this month, the multi-national carrier MTN announced a rebranding, and along with its logo refresh, announced that it was moving to focus on being a technology provider. The new look, “aligns with our evolution from a telecommunications company to a technology company,” said Nompilo Morafo, Chief Corporate Affairs officer at the company. Across APAC too, telcos are looking at the shift to becoming technology companies, and last week’s TMForum Leadership Summit “ The Tech Driven Telco ” s
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Teradata
MARCH 24, 2022
Teradata stopped conducting business in Russia earlier this month, and has ceased customer interactions & services with all Russian accounts. Teradata fully supports & is complying with all sanctions.
Confluent
MARCH 25, 2022
Logging is an important component of managing service availability, security, and customer experience. It allows Site Reliability Engineers (SREs), developers, security teams, and infrastructure teams to gain insights to how […].
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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.
KDnuggets
MARCH 22, 2022
Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.
Cloudera
MARCH 25, 2022
Over the past decade, Cloudera has matured to become a leading-edge technology company, supporting a diverse range of customers, across the globe. At Cloudera, we are passionate about helping our customers identify opportunities for innovation and growth, enabling them to accelerate their digital transformation, and aiding them to solve some of societies’ largest challenges.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
MARCH 23, 2022
The choice of how to get your data in and out of your Apache Kafka® clusters is one that merits thoughtful consideration. On one hand, you can choose to develop […].
KDnuggets
MARCH 25, 2022
Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.
Cloudera
MARCH 21, 2022
Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. As exciting as it is, practitioners face their fair share of challenges. There are well-known barriers that slow down predictive modeling or application development.
Teradata
MARCH 21, 2022
In honor of Women's History Month, we are spotlighting Erica Hausheer, Teradata's Chief Information Officer, as she looks back at her career in IT and Tech.
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.
Rockset
MARCH 25, 2022
Summary: PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn’t support real-time querying of data. PCH initially considered data warehouses such as Snowflake and Redshift , but found them too costly for real-time analytics.
KDnuggets
MARCH 25, 2022
GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.
U-Next
MARCH 24, 2022
With data increasingly becoming an irreplaceable part of businesses growth; organizations and industries have actively embraced the use of Business Analytics to propel their growth to newer heights. However, utilizing data and implementing analytics crucial to making informed, intelligent, and effective business decisions is no easy task. With over a decade of experience in identifying, analyzing, and creating relevant programs in emerging technologies, Jigsaw has been a pioneer in imparting kn
FreshBI
MARCH 21, 2022
It’s a jungle out there Back in the day- when I was stuck on a DAX problem, I used to toggle through the IntelliSense in PowerBI one letter at a time. I’ve learned much since then and in this blog I’d like to share my experience with using PATH in Dax. A: ABS ACOS ACOSH … B: BETA.DIST BETA.INV BLANK Etc…. Hours wasted. Mistakes were made A MUCH better use of my time would have been reviewing quality solutions to real world problems.
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.
Rockset
MARCH 24, 2022
Analytics has evolved substantially in the last decade. Companies are adopting streaming data, they are dealing with greater volumes and amounts of data, and more of them are working with diverse third party vendors to receive data. In fact, you can describe big data from many different sources by these five characteristics: volume, value, variety, velocity and veracity.
KDnuggets
MARCH 21, 2022
Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.
U-Next
MARCH 24, 2022
Organizations are now thriving due to the insights gained from massive consumer data. In today’s data-driven world, Business Analytics is a powerful tool in achieving business goals by turning user data into valuable insights and developing strategies to make smarter business decisions. Thus, resulting in a growing need for Business Analytics professionals who can interpret and analyze that data.
Cloudera
MARCH 23, 2022
Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . What is Apache Iceberg? Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP).
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.
Rockset
MARCH 22, 2022
In 2019, Gartner predicted that “ by 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions ,” and users have grown to expect real-time data, especially since the rise of social networks. Companies are adopting real-time data for many reasons, including providing seamless and personalized experiences to users when interacting with services, and enabling real-time, data-driven decision making.
KDnuggets
MARCH 23, 2022
CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus. and is free to anyone interested in taking it!
U-Next
MARCH 22, 2022
Keeping our skillsets up-to-date is paramount in today’s highly competitive world. Organizations are becoming more data-driven by implementing Business Analytics in their business operations. Regardless of your industry, it has become critical to master Business Analytics to navigate through the digital transformation. Upskilling in Business Analytics provides a golden opportunity for mid-career professionals who feel stuck in their professional journey and want to transform their careers.
Data Engineering Podcast
MARCH 20, 2022
Summary Data assets and the pipelines that create them have become critical production infrastructure for companies. This adds a requirement for reliability and management of up-time similar to application infrastructure. In this episode Francisco Alberini and Mei Tao share their insights on what incident management looks like for data platforms and the teams that support them.
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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.
AltexSoft
MARCH 22, 2022
Data is one of the most valuable resources today. But collecting real data is not always an option due to the cost, sensitivity, and processing time. Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. In this article, we will explain what synthetic data is, why is it used and when it’s best to use it, which generation models and tools are out there, and what are the cases of synthetic data application.
KDnuggets
MARCH 23, 2022
ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.
Monte Carlo
MARCH 23, 2022
When I talk to data teams about the benefits of data observability and data quality, it’s often framed in the context of preventing the negative impacts of bad data : poor decision making, lost revenue, and even the erosion of customer trust. With Gartner predicting that poor data quality costs organizations $12.9M per year , data observability becomes a no brainer.
Data Engineering Podcast
MARCH 20, 2022
Summary Data and analytics are permeating every system, including customer-facing applications. The introduction of embedded analytics to an end-user product creates a significant shift in requirements for your data layer. The Pinot OLAP datastore was created for this purpose, optimizing for low latency queries on rapidly updating datasets with highly concurrent queries.
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.
Cloudera
MARCH 22, 2022
Introduction. The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets. Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic.
KDnuggets
MARCH 21, 2022
After speaking to co-workers in the data industry who like me, had left their jobs at a very early stage in their career, I’ve come to realize that there are two main reasons the data science field has such a high employee attrition rate.
Datakin
MARCH 22, 2022
Datakin is very pleased to announce that we have been acquired by Astronomer , the commercial developer of Apache Airflow. This is both a beginning and an end for us. It is a happy conclusion to the story of Datakin, whose team is now a part of Astronomer, and a celebratory moment for all of us. For Julien and me, who were first-time founders, the move brings a feeling of achievement and a shared sense of excitement and urgency about a new beginning.
KDnuggets
MARCH 25, 2022
In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.
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
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