Sat.Jan 09, 2021 - Fri.Jan 15, 2021

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Job conversion possibilities within Data Science

Team Data Science

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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Property Based Testing Confluent Server Storage for Fun and Safety

Confluent

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 […].

Data 124
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Cloudera Data Warehouse Demonstrates Best-in-Class Cloud-Native Price-Performance

Cloudera

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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Enabling Version Controlled Data Collaboration With TerminusDB

Data Engineering Podcast

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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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Sort Lists in Scala with Tail Recursion

Rock the JVM

Master List Sorting with Tail Recursion in Scala: Enhance Your Functional Programming Skills and Boost Your Interview Readiness!

Scala 52
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Putting Apache Kafka to REST: Confluent REST Proxy 6.0

Confluent

Confluent Platform 6.0 was released last year bringing with it many exciting new features to Confluent REST Proxy. Before we dive into what was added, let’s first revisit what REST […].

Kafka 116

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Lighthouse reports on Github

Grouparoo

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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ADTs (Algebraic Data Types) in Scala

Rock the JVM

Discover ADTs (Algebraic Data Types) in Scala: Answers to all your questions about this essential concept

Scala 52
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The Missing Link in Cloud Costs

Teradata

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.

Cloud 52
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Brick and Mortar Stores are Now Built Brick by Brick with Digital Insights

Cloudera

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.

Food 76
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Everything You Need to Know About Data Preparation

InData Labs

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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Objects and Companions in Scala

Rock the JVM

This article is for beginner Scala programmers: an introduction to singleton objects and companion objects, exploring their uses, benefits, and best practices

Scala 52
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Moving to the Cloud, Do I Still Need a CASB Solution?

Teradata

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?

Cloud 52
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Optimized joins & filtering with Bloom filter predicate in Kudu

Cloudera

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

Java 74
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Simplify Data Access in Snowflake using Domino Data Lab

Domino Data Lab: Data Engineering

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100+ Machine Learning Datasets Curated For You

ProjectPro

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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How to Make Regulatory Calls for Transparency a Competitive Advantage

Teradata

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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Top 5 Questions about Apache NiFi

Cloudera

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.

Kafka 63
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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Experimentation Platform at Zalando: Part 1 - Evolution

Zalando Engineering

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.

Scala 40
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2020 Data Impact Award Winner Spotlight: United Overseas Bank

Cloudera

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”.

Banking 58
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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 2: Querying/ Loading Data

Cloudera

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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Apache NiFi – the data movement enabler in a hybrid cloud environment

Cloudera

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.

Cloud 52
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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Enabling Self-Service Business Insights with Cloudera Data Warehouse

Cloudera

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