Christophe Blefari

AUGUST 4, 2023

Summer Edition ( credits ) This is the first article of the Data News Summer Edition: how to build a data platform. I tried to be as short as possible in this first article, details will come in the following ones. In this article we will try to design the fancy data stack for a batch usage. This is not a paid article.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

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. This article greatly explained how they did it. They deeply explain in this article why they choose ClickHouse to monitor their ClickHouse Cloud offering saving money on their Datadog bill.

SQL 130

SQL Data Python Datasets 130

Christophe Blefari

APRIL 14, 2023

Using Metrics Layer to standardize and scale experimentation at DoorDash — A very good exhaustive article about a metrics layer. Mainly they define measures, dimensions and metrics in YAML that will be materialised and made accessible to Curie (their experimentation platform). That’s why they built this system.

Datasets 130

Datasets Data Deep Learning SQL 130

Cloudera

NOVEMBER 7, 2023

The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Systems 103

Systems Hadoop Unstructured Data Media 103

ThoughtSpot

MARCH 5, 2024

These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot. This article provides a technical overview of this integration so you can make the most of your data investment. Set refresh schedules as needed.

BI 94

BI Datasets Raw Data SQL 94

Christophe Blefari

APRIL 21, 2023

Access — you will be able to namespace models with groups and visibility. This article gives you an overview of the Kubernetes platform they implemented. This is a great article and they even included a flowchart to identify which role will suit you the most. In dbt Core 1.5 Synthetic data are AI generated data.

Raw Data 130

Raw Data Data Datasets SQL 130

ProjectPro

JANUARY 15, 2021

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. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Christophe Blefari

JUNE 9, 2023

I search and read articles first and then I write. This way, I'll dedicate my Fridays to write original articles, explore ideas and preparing articles stock for the summer holidays. So I need to schedule articles in advance. This week a natural cluster of articles have emerged.

Data 130

Data Government SQL Coding 130

Christophe Blefari

NOVEMBER 11, 2022

Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. Here are few articles that will give you few ideas about stuff to do—tbh, there isn't a one-stop solution to fix it: Programmatic schema management — Manage all your schema with some kind of code. The end-game dataset.

BI 130

BI Data Warehouse Data Database 130

Towards Data Science

FEBRUARY 6, 2024

Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Discoverability : A shared data platform provides a catalog of operational datasets in the form of source-aligned data products that helped me to understand the status and nature of the data exposed.

Systems 79

Systems Raw Data Metadata Data Cleanse 79

Knowledge Hut

MAY 3, 2024

Spark's primary data structure is Resilient Distributed Datasets (RDD). Each dataset in an RDD is split into logical divisions that may be calculated on several cluster nodes. We will try to understand Spark streaming and Kafka streaming in depth further in this article. As of 2017, we offer access to approximately 1.8

Kafka 98

Kafka Scala Java Amazon Web Services 98

Ascend.io

FEBRUARY 15, 2024

This article breaks down the complexities of data replication strategies in a way that’s easy to understand. By the end of this article, you’ll be equipped with the know-how to choose a strategy that not only makes sense but also aligns perfectly with your specific data needs. Why are Data Replication Strategies Important?

Datasets 52

Datasets Database Data Warehouse Data 52

Edureka

FEBRUARY 16, 2023

Given in this article called “Best ChatGPT Alternatives You Must Try”, is a list of the best ChatGPT alternatives you can find! However, Chatsonic offers additional features and a wider knowledge base as it can access the internet, which is a capability that ChatGPT currently lacks.

Datasets 98

Datasets Banking Accessible Accessibility 98

Towards Data Science

NOVEMBER 4, 2023

In this article, I want to talk about crucial things that affect data engineers. Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. We will discuss how to use this knowledge to power advanced analytics pipelines and operational excellence. Datalake example.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

RandomTrees

APRIL 30, 2024

In this article, we will see how generative AI is revolutionizing global health initiatives and telemedicine. By using deep learning algorithms and large datasets, researchers can recognize favorable drug candidates more quickly and accurately. It is critical to prevent the progression of disease and improve treatment outcomes.

Medical 52

Medical Healthcare Algorithm Electronics 52

Towards Data Science

DECEMBER 4, 2023

I bet you are, this article is for you! We should consider how the data will be utilised by our colleagues offering structured datasets, regularly refreshed, about: Car Performance : telemetry data is cleaned, normalised and integrated to provide a unified view. In this guide Data Engineering meets Formula 1. But, we’ll keep it simple.

Data Engineering 83

Data Engineering Data Engineer Engineering Data Lake 83

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. They use intelligent language interfaces and make data accessible to more people. It creates summaries of large datasets and identifies anomalies in data. These accelerators combine information from different sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Christophe Blefari

SEPTEMBER 28, 2023

data is not easily accessible for humans or AI —We build data platforms in order to be used. This article depicts well how composable our platforms will be in the future and why Apache Arrow have to be everywhere. Best to do is to defined what is a good documentation and then enforce the requirements before going to production.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Data Engineering Weekly

MAY 5, 2024

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. A key thought-provoking moment for me while reading the article is this quote. A key thought-provoking moment for me while reading the article is this quote.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

François Nguyen

MARCH 22, 2021

How to build Data Products or never call me Data Pipeline any more You have this interesting schema in her second article on Data Mesh by Zhamak Dehghani : “Data mesh introduces the concept of data product as its architectural quantum. Data Security & Access management : who has access to this data ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Databand.ai

MAY 30, 2023

In this article: Why Is Data Quality Important? With access to accurate and dependable data, business leaders can make informed decisions that promote growth and profitability. Ensuring accuracy involves identifying and correcting errors in your dataset, such as incorrect entries or misrepresentations.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

JANUARY 12, 2024

Here is an article on Measures of Dispersion. The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. What is Dimensionality Reduction?

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

The Modern Data Company

APRIL 15, 2024

We don’t want to restrict the scope of this article to only data leaders and influential executives. This isn’t just about having access to data; it’s about understanding its impact on key performance indicators (KPIs) that drive your business forward. For Business Stakeholders (CMO, CFO, etc.):

Raw Data 52

Raw Data Government Data Datasets 52

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

JANUARY 29, 2024

In this article, we will take a detailed look at both domains. All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. Cloud Computing Services can be accessed with the help of the internet.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Knowledge Hut

JANUARY 18, 2024

To ensure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages scientists use today. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Scala 98

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Towards Data Science

MARCH 5, 2024

Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience.

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Data Engineering Weekly

APRIL 7, 2024

We index only top-tier tables, promoting the use of these higher-quality datasets. The model is trained using a dataset of code-diagnostic pairs and fine-tuned to predict line diffs that correct LSP-identified errors, showing promising results against larger models and existing benchmarks.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Cloudera

AUGUST 10, 2021

In this article, we’ll focus on generating and viewing lineage that includes Ozone assets from Apache Atlas. For example, writing a Spark dataset to Ozone or launching a DDL query in Hive that points to a location in Ozone. This article assumes that you have a CDP Private Cloud Base cluster 7.1.5 With CDP 7.1.4 With CDP 7.1.4

Hadoop 104

Hadoop Kafka Datasets Government 104

RandomTrees

MARCH 22, 2024

This format poses difficulties for analysis and querying since the data is not readily accessible or organized. In this article, we will explore how Snowflake enables the splitting of a delimited string column into rows, facilitating more efficient data processing and analysis.

Media 52

Media Healthcare Datasets Electronics 52

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. This is part of a series of articles about data quality. In this article: Why are data testing tools important?

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

U-Next

MARCH 12, 2023

It can handle big datasets and is very adaptable. When we save information in a database, we must construct tables and describe their layout. This article will cover the most important DDL commands in SQL. It only deals with database schema descriptions and is used to build and alter the structure of database objects.

SQL 98

SQL Database Datasets Government 98

Knowledge Hut

DECEMBER 21, 2023

In this article, we will investigate some of the top cloud computing research topics for 2024 and explore what we get most out of it for researchers or cloud practitioners. Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

MAY 21, 2024

It's time for you to swap out your outdated laptop for the best laptop for data science included in this article. It has the Touch Bar, a Multi-Touch-enabled strip of glass integrated into the keyboard, giving you immediate access to the tools you need. The Apple MacBook Pro 13.3"

Data Science 98

Data Science Datasets Algorithm Electronics 98

Knowledge Hut

DECEMBER 7, 2023

In this article I have explored their comparison using various parameters like functionalities, working mechanics, security features, cost and much more. Power BI provides a tonne of functionality, such as exporting a dashboard to PowerPoint or Excel, gleaning information from big datasets, building unique visualisations in R and Python, etc.

BI 52

BI Business Intelligence Datasets Data Analysis 52

RandomTrees

MARCH 8, 2024

In this article, we’ll explore the concept of table clustering and how it can significantly enhance the performance of your Snowflake data warehouse. When queries are executed, Snowflake can leverage this clustering to access only the relevant data, minimizing the amount of data scanned and accelerating query performance.

Data Warehouse 52

Data Warehouse Datasets Retail Big Data 52