Christophe Blefari

APRIL 5, 2024

How we built Text-to-SQL at Pinterest — Pinterest open-sourced a tool called Querybook that they used to access Pinterest data every day. Looks cool to be able to switch Polars engines like this. Survey about query engines used by companies — Data Council happened recently.

SQL 130

SQL Data Python Datasets 130

Data Engineering Weekly

JUNE 18, 2023

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. I’m super thrilled to see the blog. Sign up free to test out the tool today. Kudos to the author.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. At the storage layer security, lineage, and access control play a critical role for almost all customers.

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Data Engineering Data Engineer Engineering Data Pipeline 115

Data Engineering Weekly

OCTOBER 30, 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. Til about [link] Thank you, Anton Bryzgalov, for contributing the blog to the Data Engineering Weekly.

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Data Engineering Data Engineer Engineering Data Ingestion 52

Monte Carlo

FEBRUARY 16, 2023

This success is driven by technological innovations such as application performance management solutions, evolving best practices such as DevOps, and specialized roles such as site reliability engineers (SREs). Mercari’s data reliability engineering team was established in June of last year, and has quickly scaled to three members. “I

Engineering 52

Engineering Data Pipeline Datasets Google Cloud 52

DataKitchen

DECEMBER 9, 2022

DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results. Query> An AI, Chat GPT wrote this blog post, why should I read it? .

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Cloudera

DECEMBER 13, 2023

The marketplace delivers a data-centric operating environment by increasing data accessibility and enabling advanced analytics. The seamless inflow of retained and external datasets via CDP allows teams to create datasets locally and make them available for others to consume without the need for assistance from data engineers.

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Pipeline-centric Professional Services Datasets BI 88

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. of data engineer job postings on Indeed?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. In this article: Why are data testing tools important?

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

AUGUST 3, 2022

Fine grained access control (FGAC) with Spark. That’s why we are excited to introduce Spark Secure Access , a new security feature for Apache Spark in the Cloudera Data Platform (CDP), that adheres to all security policies without resorting to 3rd party tools. Introducing Spark Secure Access Mode. Starting with CDP 7.1.7

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Datasets BI Machine Learning Accessible 85

Workfall

JULY 18, 2023

As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scalable. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. In this blog, we will cover: What is DBT?

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Datasets Entertainment Data Workflow Data 77

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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Certification Data Engineering Data Engineer Engineering 52

Cloudera

MARCH 5, 2024

Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for. The post A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse appeared first on Cloudera Blog.

Data Lake 86

Data Lake Data Storage Government Kafka 86

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. In this article: Why Are Data Testing Tools Important?

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. Data storage is the process of storing this data in a way that makes it accessible for further analysis. These four fields are at the forefront of big data technology and are essential for understanding and managing large datasets. HDFS, Cassandra, Hive).

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Big Data Technology NoSQL Hadoop 98

RandomTrees

APRIL 12, 2024

In this blog, we delve into the intricacies of model retraining, exploring its significance, various approaches, triggers, and best practices to empower organizations in mastering this essential component of MLOps. The Essential Role of Retraining In summary, regularly updating and refining models through retraining is crucial in MLOps.

Machine Learning 52

Machine Learning Datasets Systems Process 52

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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ETL Tools Programming Language Datasets Data Pipeline 75

Databand.ai

JULY 5, 2023

These tools offer data engineers insight into the health of their data infrastructure, by giving visibility into crucial metrics like latency, throughput, and error rates. They provide insights into query performance, storage utilization, and data access patterns, allowing teams to optimize their data infrastructure.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Cloudyard

APRIL 4, 2024

Read Time: 2 Minute, 13 Second Consider a scenario, you are part of data engineering team at a retail company. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights. Frequency: How often a customer makes purchases.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. At Lyft, we started using Druid around six years ago as our first interactive query engine in the sub-second space. For new platform engineers, it presented a steeper learning curve.

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Kafka Data Ingestion Datasets Architecture 104

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science? Data Engineer vs Data Scientist: Which is better?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

RandomTrees

APRIL 29, 2024

In this domain, engineers and scientists tirelessly innovate to make it possible, that sometimes seemed impossible. By using machine learning algorithms, automotive engineers can analyze massive datasets generated from vehicle sensors, test fleets, and simulated environments. Here, AI serves as both a catalyst and a canvas.

Transportation 52

Transportation Manufacturing Algorithm Machine Learning 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

Workfall

FEBRUARY 28, 2023

In this blog, we will cover: What Is ChatGPT? The model is trained on a massive text dataset before being fine-tuned for specific tasks such as: Translation of a language Summarization of text Debugging code Answering questions, and so on. By far the most significant technology trend of this decade has been generative AI.

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Datasets Coding Algorithm Technology 62

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. The post The Power of Exploratory Data Analysis for ML appeared first on Cloudera Blog.

Data Analysis 88

Data Analysis PostgreSQL Data Science SQL 88

Workfall

SEPTEMBER 18, 2023

In this blog, we’re diving into the world of data integration with Airbyte, unraveling the mystery behind its simplicity, and uncovering how it seamlessly connects with Snowflake to transform your data into actionable insights. In this blog, we will cover: What is Airbyte?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

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Datasets Data Science Project Banking 96

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Engineering.

Database 81

Database Machine Learning Data Lake Kafka 81

Knowledge Hut

JULY 28, 2023

If some terminologies in the blog around Machine Learning seems unfamiliar to you, don’t worry we have the Best Data Science courses to help you out. In the world of Supervised Machine Learning, the models train using the samples of “labelled” datasets. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Databand.ai

MAY 30, 2023

With access to accurate and dependable data, business leaders can make informed decisions that promote growth and profitability. Scope: Data quality primarily deals with dataset content, while data integrity is more concerned with the overall system architecture and processes that ensure consistency across different platforms or applications.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

MARCH 27, 2024

So long as they have access to a few brief notes, it becomes easy for students to review and go over the fundamental ideas and techniques. An algorithm design cheat sheet is a useful tool for engineers and machine learning specialists to prepare for managing algorithm design chores. This aids in improving conceptual understanding.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

Systems 75

Systems Building Machine Learning Datasets 75

Knowledge Hut

NOVEMBER 19, 2023

Here, Data Science courses online can help you apply what you learn in practical exercises working with real-world datasets. Data Engineers/Architects set up this infrastructure to extract, process and store this data. Hence, Data Engineering and Data Science in IoT is gaining wide traction. What is IoT? Here is the broad.

Data Science 52

Data Science Technology Machine Learning Big Data 52