KDnuggets

JANUARY 16, 2023

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

Data Lakes 271

Data Lakes SQL Data Engineering Data Engineering 271

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Azure 398

Azure Data Warehouse Data Lakes Analytics 398

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Selecting one among […].

Data Lakes 350

Data Lakes Hadoop Data Science Analytics 350

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the modern data world, Lakehouse has become one of the most discussed topics for building a data platform.

Data Lakes 358

Data Lakes Data Science Analytics Analytics 358

Data Science Connect

JULY 28, 2023

A recent article on Analytics Insight explores the critical aspect of data engineering for IoT applications. Understanding the intricacies of data engineering empowers data scientists to design robust IoT solutions, harness data effectively, and drive innovation in the ever-expanding landscape of connected devices.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineer 130

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Analytics Vidhya

OCTOBER 6, 2023

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology.

Analytics 343

Analytics Analytics Power BI Data Lakes 343

Analytics Vidhya

MARCH 21, 2023

to store and analyze this data to get valuable business insights from it. You will study top 11 azure interview questions in this article which will discuss different data services like Azure Cosmos […] The post Top 11 Azure Data Services Interview Questions in 2023 appeared first on Analytics Vidhya.

Azure 306

Azure Analytics Analytics Data Lakes 306

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Analytics Vidhya

SEPTEMBER 20, 2022

Introduction Enterprises have been building data platforms for the last few decades, and data architectures have been evolving. Let’s first look at how things have changed and how […].

Analytics 289

Analytics Analytics Data Lakes Data Engineering 289

Smart Data Collective

FEBRUARY 23, 2022

Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. That is when data lake products started gaining popularity, and since then, more companies introduced lake solutions as part of their data infrastructure. AWS Athena and S3. How to improve indexing.

Data Lakes 124

Data Lakes AWS SQL Big Data 124

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 14, 2023

We’ve just wrapped up our first-ever Data Engineering Summit. If you weren’t able to make it, don’t worry, you can watch the sessions on-demand and keep up-to-date on essential data engineering tools and skills. It also addresses the strategies and best practices for implementing a data mesh.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 30, 2024

Data engineering is a hot topic in the AI industry right now. And as data’s complexity and volume grow, its importance across industries will only become more noticeable. But what exactly do data engineers do? So let’s do a quick overview of the job of data engineer, and maybe you might find a new interest.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

OCTOBER 20, 2023

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. This framework considers multiple personas and services to govern the ML lifecycle at scale.

ML 130

ML ML AWS Data Lakes 130

ODSC - Open Data Science

FEBRUARY 15, 2024

We couldn’t be more excited to announce the first sessions for our second annual Data Engineering Summit , co-located with ODSC East this April. Join us for 2 days of talks and panels from leading experts and data engineering pioneers. Is Gen AI A Data Engineering or Software Engineering Problem?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 15, 2024

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. This article will focus on how data engineers can improve their approach to data governance.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

Women in Big Data

OCTOBER 9, 2024

The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline? A traditional data pipeline is a structured process that begins with gathering data from various sources and loading it into a data warehouse or data lake.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

ODSC - Open Data Science

MAY 16, 2023

Data Mesh More data management systems in 2023 will also shift toward a data mesh architecture. This decentralized architecture breaks data lakes into smaller domains specific to a given team or department. Observability means ensuring databases are transparent, accurate and high-quality.

Database 98

Database Data Science Data Lakes Data Observability 98

ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. So what are you waiting for?

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

ODSC - Open Data Science

FEBRUARY 2, 2023

Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed. This pushes into big data as well, as many companies now have significant amounts of data and large data lakes that need analyzing.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

MAY 7, 2024

Beyond his technical achievements, James is a sought-after speaker and is a prolific voice in the data community through his blog, JamesSerra.com. James Serra discusses data lakehouses, which merge data lakes and data warehouses. It lets you store a wide variety of data in a cost-effective way, like a data lake.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. Vidya Setlur. Director of Research, Tableau. Kristin Adderson. February 14, 2022 - 6:11pm.

AI 98

AI AI Tableau Data Scientist 98

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. Vidya Setlur. Director of Research, Tableau. Kristin Adderson. February 14, 2022 - 6:11pm.

AI 95

AI AI Tableau Data Scientist 95

AWS Machine Learning Blog

JUNE 20, 2024

Our goal was to improve the user experience of an existing application used to explore the counters and insights data. The data is stored in a data lake and retrieved by SQL using Amazon Athena. In his spare time, Eitan enjoys jogging and reading the latest machine learning articles.

SQL 111

SQL Database AWS Machine Learning 111

The MLOps Blog

JANUARY 23, 2023

As data is the foundation of any machine learning project, it is essential to have a system in place for tracking and managing changes to data over time. However, data versioning control is frequently given little attention, leading to issues such as data inconsistencies and the inability to reproduce results.

ML 52

ML ML Data Lakes Machine Learning 52

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineering Data Engineer 58

DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. Without structure, data is difficult to analyze and extracting meaningful insights and patterns is challenging. This article will discuss managing unstructured data for AI and ML projects. How to properly manage unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Mlearning.ai

JULY 8, 2023

In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. EL stands for extract and load, and its primary goal is to just move the data from one place to another where the destination is usually a Data Warehouse or a Data Lake.

ETL 52

ETL Azure Python Internet of Things 52

Alation

JULY 19, 2022

Modern data catalogs surface a wide range of data asset types. For instance, Alation can return wiki-like articles, conversations, and business intelligence objects, in addition to traditional tables. Modern data catalogs also facilitate data quality checks. Communicate and Visualize Results.

Data Scientist 59

Data Scientist Data Quality Data Science Data Analyst 59

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

AI 52

AI AI Data Science Machine Learning 52

The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. For example, neptune.ai

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

MARCH 11, 2024

Data Morph: A Cautionary Tale of Summary Statistics Visualization in Bayesian Workflow Using Python or R Harnessing Bayesian Statistics for Business-Centric Data Science Data Engineering and Big Data Join this track to learn the latest techniques and processes to analyze raw data and automate data into mechanical processes and algorithms.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio. Check a few of them out here.

Azure 52

Azure ML ML Data Modeling 52

IBM Journey to AI blog

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support.

AI 74

AI AI Machine Learning Machine Learning 74