Team Data Science

JANUARY 14, 2021

Data science encompasses a range of fields, like data analysis, machine learning, statistics, computer science, infrastructure, and data architecture, and looking at how businesses are transforming on a day-to-day basis, we may infer that some data science jobs will be in high demand within the next ten years, there is a strong need for experts who understand the market demands, who can formulate a data-driven approach and then execute the way out.

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Data Science Computer Science Algorithm Data Engineering 130

Data Engineering Podcast

JANUARY 11, 2021

Summary As data professionals we have a number of tools available for storing, processing, and analyzing data. We also have tools for collaborating on software and analysis, but collaborating on data is still an underserved capability. Gavin Mendel-Gleason encountered this problem first hand while working on the Sesshat databank, leading him to create TerminusDB and TerminusHub.

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PostgreSQL Python Data Lake Computer Science 100

Confluent

JANUARY 12, 2021

Confluent uses property-based testing to test various aspects of Confluent Server’s Tiered Storage feature. Tiered Storage shifts data from expensive local broker disks to cheaper, scalable object storage, thereby reducing […].

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Cloudera

JANUARY 15, 2021

Introduction. Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. With the ability to quickly provision on-demand and the lower fixed and administrative costs, the costs of operating a cloud data warehouse are driven mostly by the price-performance of the specific data warehouse platform.

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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 Science

Grouparoo

JANUARY 15, 2021

Performance is an important factor for user satisfaction, conversion and SEO. Lighthouse is a tool that creates a report on performance and other best practices. Most commonly, it used from the chrome extension. However, you can also run this test locally. The @lhci/cli library, when installed, provides the following command line tool. > next build info - Creating an optimized production build info - Compiled successfully info - Collecting page data info - Generating static pages ( 123 /123

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Accessible Accessibility Building Engineering 52

Teradata

JANUARY 12, 2021

As businesses move more of their workloads to the cloud, & with more sophisticated encryption & security measures, do they still need to have a Cloud Access Security Broker solution as well?

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Cloudera

JANUARY 12, 2021

Most companies strive to provide a quality internship experience. At Cloudera, we take it to another level offering work with cutting edge and open source technologies, product experimentation, meaningful mentorship and group activities. . Yes, we aim to give our early talent teams insight into the real world of work as it relates to their engineering careers, but we also want to give them an experience that can’t be beat.

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Recruitment Programming Software Engineer Software Engineering 78

InData Labs

JANUARY 12, 2021

The fact that data is now called the “new oil” is true. There is considerable money being made by the ones who are cleverly utilizing it. Fundamentally, big data is unlike oil. With the help of machine learning, It provides a lot more than just profit – it offers understanding and insight, with one exception. Запись Everything You Need to Know About Data Preparation впервые появилась InData Labs.

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Data Preparation Big Data Machine Learning Utilities 52

Teradata

JANUARY 10, 2021

While on the surface transparency requirements appear solely as a nuisance, they are rich opportunities to repurpose investments in compliance for strategic advantage.

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Zalando Engineering

JANUARY 11, 2021

Online controlled experimentation, aka A/B test, has been a golden standard for evaluating improvements in software systems. By changing one factor at a time, A/B test causally measures, from real users, whether one product variant is better than the other. As an increasingly important area in tech companies, experimentation platforms face -- apart from their scientific challenges -- many unique engineering problems.

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Scala Data Schemas Engineering Consulting 40

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

Cloudera

JANUARY 14, 2021

This blog is the final post of a 4-part series. You can read the first blog posts, here: 1. Get to Know Your Retail Customer: 2. Accelerating Customer Insight and Relevance ; Improving your Customer-Centric Merchandising with Location-based in-Store Merchandising ; and 3. Maximizing Supply Chain Agility through the “Last Mile” Commitment. Brick and Mortar Stores will Need to do it Differently to Stay Alive.

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Food Retail Aggregated Data Machine Learning 70

Domino Data Lab: Data Engineering

JANUARY 10, 2021

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Accessible Accessibility Data Datasets 52

Teradata

JANUARY 14, 2021

We examine the main impact of cloud costs by comparing and contrasting when price is considered on data at rest versus data in movement. Read more.

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ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course.

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Datasets Machine Learning Retail Banking 40

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

Cloudera

JANUARY 13, 2021

2020 was a year of immense change and disruption. Despite the challenges, 2020 also provided positive opportunities for forward leaps to be made in the realm of digital transformation. At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”.

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Cloudera

JANUARY 13, 2021

In this installment, we’ll discuss how to do Get/Scan Operations and utilize PySpark SQL. Afterward, we’ll talk about Bulk Operations and then some troubleshooting errors you may come across while trying this yourself. Read the first blog here. Get/Scan Operations. Using Catalogs. In this example, let’s load the table ‘tblEmployee’ that we made in the “Put Operations” in Part 1.

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Machine Learning Data Science Database Scala 52

Cloudera

JANUARY 11, 2021

Over the last few weeks, I delivered four live NiFi demo sessions, showing how to use NiFi connectors and processors to connect to various systems, with 1000 attendees in different geographic regions. I want to thank you all for joining and attending these events! Interactive demo sessions and live Q&A are what we all need these days when working remotely from home is now a norm.

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Kafka Data Cleanse Java Datasets 60

Cloudera

JANUARY 15, 2021

Introduction. In database systems one of the most effective ways to improve performance is to avoid doing unnecessary work, such as network transfers and reading data from disk. One of the ways Apache Kudu achieves this is by supporting column predicates with scanners. Pushing down column predicate filters to Kudu allows for optimized execution by skipping reading column values for filtered out rows and reducing network IO between a client, like the distributed query engine Apache Impala, and Ku

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Metadata Java Database Cloud 69

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Project

Cloudera

JANUARY 12, 2021

Cloudera provides its customers with a set of consistent solutions running on-premises and in the cloud to ensure customers are successful in their data journey for all of their use cases, regardless of where they are deployed. Cloudera DataFlow provides Apache NiFi in both the Cloudera Data Platform Private Cloud Base (on-premises) and Public Cloud (AWS, Azure, and Google Cloud) products in this hybrid cloud strategy.

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Cloud Google Cloud Government BI 52

Cloudera

JANUARY 11, 2021

Requests to Central IT for data warehousing services can take weeks or months to deliver. Central IT teams at large organizations face a proliferation of IT projects arising from the complexities of markets and from the needs of internal lines of business (LoBs). At the same time, Central IT must juggle cost and risk. In data-driven organizations, to fulfill its charter to democratize data and provide on-demand, quality computing services in a secure, compliant environment, IT must replace legac

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