Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. What is Data Science?

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Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

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Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.

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dbt Developer Hub

AUGUST 2, 2023

Due to those features, they are also more aligned with what other data platforms are calling Materialized Views. For the sake of simplicity, when I refer to materialized views in this blog, I mean dynamic tables in Snowflake. This blog post is intended to be a high level, platform agnostic overview to get you started.

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Data Engineering Weekly

OCTOBER 23, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Hello Data Friends, Welcome to another edition of Data Engineering Weekly.

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DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure? Cloudera or Databricks?

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Netflix Tech

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

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Data Data Pipeline MySQL Data Warehouse 101

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. This transformation could involve cleaning, aggregating, or summarizing the data.

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Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

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Insurance Finance Portfolio Government 83

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 . By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP).

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Metadata Data Architecture BI Machine Learning 92

Picnic Engineering

JULY 26, 2022

Data Mesh, or Hub-and-Spoke? and other reflections on building data governance. Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. What exactly is a “lakeless” Data Warehouse? Any advice?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load. InventoryService) or processing a payment (eg.

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Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

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Engineering Raw Data Data Science Scala 84

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

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Knowledge Hut

JULY 26, 2023

With the rise of big data, cloud computing, and IoT, the demand for skilled database professionals is higher than ever before. Read along the blog to find everything you need about this topic. Another trend we expect to see in the database job market is the increasing demand for professionals who can handle big data.

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phData: Data Engineering

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. That begs the question, if it is so easy to learn, “Why formalize a concept like ZDLC?”

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Coding Software Engineer Software Engineering Government 52

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. And getting it right matters even more to data organizations. This article will unpack everything you need to know about data lineage, including: What is it? What is data lineage?

Metadata 52

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Monte Carlo

NOVEMBER 21, 2022

What’s next for the future of data engineering? Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. Pro-tip: be sure to check out his talk from IMPACT: The Data Observability Summit.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

MAY 24, 2021

This blog will describe the four paths to move from a legacy platform such as Cloudera CDH or HDP into CDP Public Cloud or CDP Private Cloud. These include workload reviews, testing and validation, managing service-level agreements (SLAs), and minimizing workload unavailability during the move. . But, Spark 1.6 When to use.

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Knowledge Hut

JULY 6, 2023

This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know. Also, Microsoft Azure Fundamentals certification will help you validate your expertise on how Azure supports security, privacy, compliance, and trust. Configuring and setting up these Azure DevOps Tools is easy.

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Airbnb Tech

NOVEMBER 3, 2020

Part 1 —  Rebuilding at Scale Authors: Jonathan Parks, Vaughn Quoss, Paul Ellwood Introduction At Airbnb, we’ve always had a data-driven culture. During this transformation, Airbnb experienced the typical growth challenges that most companies do, including those that affect the data warehouse.

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Data Warehouse Scala Datasets Data Engineering 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

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IT AWS Software Engineer Software Engineering 52

Dataquest

JANUARY 10, 2018

In previous blog posts , we have described the Postgres database and ways to interact with it using Python. To begin, we will learn how Postgres stores its own internal data for describing, debugging, and identifying the bottlenecks in a system. Unfortunately, there is no detailed schema of the data sets.

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ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

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Confluent

APRIL 30, 2019

This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. Another good example of combining the two approaches can be found in the Real-Time Market Data Analytics Using Kafka Streams presentation from Kafka Summit.

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ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview.

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BI Cloud Computing SQL Database 52

Data Engineering Weekly

MAY 7, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. However, Data Contract is a productivity software. Not all data is valuable.

Data Engineering 52

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Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

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Data Pipeline Data Data Engineering Data Engineer 52

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

Data lineage is a visual diagram showing how data flows through your ETL pipeline from ingestion to consumption. Solutions with automated data lineage capabilities constantly update these graphs and illustrate them as nodes and edges, or in other words, the objects through which the data travels and the relationship between them.

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Snowflake

SEPTEMBER 5, 2023

Companies want to train and use large language models (LLMs) with their own proprietary data. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features. Let’s see how.

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Medical Python Government Datasets 124

Monte Carlo

JULY 19, 2023

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Image courtesy of Databricks.

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Building Business Intelligence Cloud Storage BI 96

Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Let’s dive into it.

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