Sat.Mar 19, 2022 - Fri.Mar 25, 2022

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WTF is a Tensor?!?

KDnuggets

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.

IT 160
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The Telecommunications Service Provider Journey – From Telco to Techco

Cloudera

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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Supporting Ukraine [UPDATE]

Teradata

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.

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Securing Your Logs in Confluent Cloud with HashiCorp Vault

Confluent

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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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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A Guide On How To Become A Data Scientist (Step By Step Approach)

KDnuggets

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.

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Best Workplaces in Ireland Award 2022

Cloudera

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.

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Deploying Self-Managed Connectors on EKS Fargate

Confluent

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 […].

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The Range of NLP Applications in the Real World: A Different Solution To Each Problem

KDnuggets

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.

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One Line Away from your Data

Cloudera

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.

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Women of Teradata: Erica Hausheer

Teradata

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.

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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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Case Study: Rockset Enables Real-Time Operational Analytics in Hardware Manufacturing for PCH

Rockset

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.

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GitHub Copilot Open Source Alternatives

KDnuggets

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.

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Here Is What Happens Post Completion Of Our IIM Certified Integrated Program in Business Analytics!

U-Next

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

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DAX-JUNGLE: PATH

FreshBI

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.

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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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Empowering Developers With Query Flexibility

Rockset

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.

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Linear vs Logistic Regression: A Succinct Explanation

KDnuggets

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.

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Sumeet’s Career Leap Journey With IIM Indore’s Integrated Program In Business Analytics

U-Next

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.

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5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

Cloudera

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).

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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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Streaming Analytics With KSQL vs. A Real-Time Analytics Database

Rockset

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.

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The Most Popular Intro to Programming Course From Harvard is Free!

KDnuggets

CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus. and is free to anyone interested in taking it!

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Karthik Chose To Become An IIM Indore-Certified Business Analytics Professional!

U-Next

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.

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Exploring Incident Management Strategies For Data Teams

Data Engineering Podcast

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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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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Synthetic Data for Machine Learning: its Nature, Types, and Ways of Generation

AltexSoft

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.

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5 Reasons to Reconnect at ODSC East 2022

KDnuggets

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.

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Data Observability Doesn’t Just Create Savings – It Drives Revenue, Too

Monte Carlo

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.

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Accelerate Your Embedded Analytics With Apache Pinot

Data Engineering Podcast

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.

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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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How to Accelerate Value from Merger and Acquisition Strategies with Cloudera Data Platform (CDP)

Cloudera

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.

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Why Are So Many Data Scientists Quitting Their Jobs?

KDnuggets

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.

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Joining the Astronomer team

Datakin

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.

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MLOps Is a Mess But That’s to be Expected

KDnuggets

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.

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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