Towards Data Science

FEBRUARY 9, 2024

As a result, here’s a short list of what inspired me to write an amendment to my original 2021 article : Scale Companies, big and small, are starting to reach levels of data scale previously reserved for Netflix, Uber, Spotify and other giants creating unique services with data.

Building 79

Building Transportation Data Lake Metadata 79

Grouparoo

DECEMBER 14, 2021

The ETL data integration process has been around for decades and is an integral part of data analytics today. In this article, we’ll look at what goes on in the ETL process and some modern variations that are better suited to our modern, data-driven society. ETL data pipelines can be built using a variety of approaches.

Process 52

Process Raw Data Data Warehouse Data Pipeline 52

Knowledge Hut

DECEMBER 26, 2023

Data analytics and data science investments increased as a result, and almost every organization relies heavily on data. This article discusses the latest trends in data science, data science industry trends and the importance of data analytics.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

Ascend.io

FEBRUARY 23, 2024

You are a data professional. This means that you are fully aware of the recent developments in AI and Large Language Models ( LLMs ). Exciting, isn’t it Yet, embarking on the AI adoption journey introduces a series of challenges, with one of the most significant being the readiness of your data platform.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Data Engineering Weekly

JANUARY 15, 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. Data Catalogs are moving towards a feature, not a product.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data. Join the CNCF Slack workspace.

Data Lake 83

Data Lake Data SQL Data Warehouse 83

Snowflake

MARCH 21, 2023

In Snowflake’s 6 Data Science Trends in 2023 , one of the more prominent trends we identified was the emerging use of unified tools and infrastructure for SQL and Python. This knowledge-sharing ultimately creates more agile data engineering and MLprojects with better long-term results. Ready to learn more?

SQL 52

SQL Python Programming Language Scala 52

DoorDash Engineering

APRIL 12, 2023

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. Measures pre-computation Our metrics computation engine dynamically generates data pipelines based on the models created by the users.

SQL 82

SQL Metadata Raw Data Government 82

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

NOVEMBER 16, 2023

This article illustrates the blend between a data scientist and Azure as a cloud platform. You can learn more about Data Science course that helps you understand how to tackle complex data science problems through practical exercises. which are shaping data science applications.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Knowledge Hut

JANUARY 11, 2024

In this article, I will discuss details about data science, its applications, and how you can build a promising career in this domain. If you want to be a financial data scientist, you can take the help of the Data Science certification course by KnowledgeHut, and it will act as a launchpad for your growth in this field.

Finance 93

Finance Data Science Programming Language Machine Learning 93

Monte Carlo

FEBRUARY 15, 2023

Data analysts and engineers can run the queries they want to run when they want to run them without worrying about excessive load times or statement timeouts. Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Finally, where and how the data pipeline broke isn’t always obvious.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Zalando Engineering

MARCH 21, 2017

Our most recent product requires precise estimates of future interests of Zalando consumers based on their history of interacting with the fashion platform. For example, we want to predict a consumer's interest in ordering selected fashion articles. This necessitates frequent re-training and model deployment.

Deep Learning 52

Deep Learning Raw Data Machine Learning AWS 52

Monte Carlo

OCTOBER 10, 2023

There are two primary approaches to “data observability” Leveraging an open source data observability tool Purchasing a managed data observability solution In reality, open source libraries lack some of the critical features required to be considered true data observability. But what are they?

Data 59

Data Data Engineering Data Engineer Food 59

Monte Carlo

AUGUST 19, 2023

With companies moving their data platforms to the cloud, the emergence of cloud-native solutions ( data warehouse vs data lake or even a data lakehouse ) have taken over the market, offering more accessible and affordable options for storing data relative to many on-premises solutions.

Building 52

Building BI Data Lake Data Governance 52

AltexSoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Data roles compared. Data modeling.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

AltexSoft

NOVEMBER 10, 2021

Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse vs data lake vs data lakehouse: What’s the difference. Data warehouse. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Monte Carlo

JULY 7, 2022

It’s becoming clear a data engineering movement is afoot as we have recently covered other organizations taking a similar approach: Convoy and Vimeo. You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.”

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Monte Carlo

APRIL 1, 2021

As a result, data teams going the the lake or even lakehouse route often struggle to answer critical questions about their data such as: Where does my data live? How can I use this data? Is this data up-to-date? How is this data being used by the business? Who has access to it?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Ascend.io

JANUARY 3, 2023

Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible. This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand it.

Data 52

Data Data Lake Business Intelligence Big Data 52

Knowledge Hut

SEPTEMBER 6, 2023

To become a Data Scientist, it is imperative that you aim for the best Data Science Certifications to start your career and be recognized in the industry. A Data Science Certification can validate your skills and expertise in the industry and demonstrate your capabilities to potential employers. Expiration - No expiry 9.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Monte Carlo

JULY 30, 2020

Unlike traditional monolithic data infrastructures that handle the consumption, storage, transformation, and output of data in one central data lake, a data mesh supports distributed, domain-specific data consumers and views “data-as-a-product,” with each domain handling their own data pipelines.

IT 45

IT Data Lake Business Intelligence Data Architecture 45

ProjectPro

SEPTEMBER 16, 2021

This article will go through a few end-to-end data science project ideas to explain how MLOps can be leveraged to build a production-ready data science project. Build a dependency graph to operationalize pipelines and showcase how DVC can be leveraged to reproduce AI/ML production models at scale.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming The aim of this article is to mention some very common projects involving Apache Hadoop and Apache Spark. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 1. Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52