DataKitchen

DECEMBER 9, 2022

This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Cloudera

DECEMBER 13, 2023

A bridge between IT and business teams LGIM worked with Cloudera’s Professional Services Team to build a centralized Data Marketplace that fosters a two-way relationship between technology and the business. The marketplace delivers a data-centric operating environment by increasing data accessibility and enabling advanced analytics.

Pipeline-centric 88

Pipeline-centric Professional Services Datasets BI 88

Data Engineering Weekly

APRIL 7, 2024

EvalPlus builds a leadership board to demonstrate the efficiency of leading AI coder models. link] Pinterest: How we built Text-to-SQL at Pinterest Last week Intuit shared its key learning building Text 2 SQL , and Pinterest publishes the tech deep dive on how its internal Text2SQL work. What will the future of software engineers be?

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

LinkedIn Engineering

MARCH 21, 2023

That’s why we believe a skills-first approach to hiring talent will help companies gain access to wider talent pools to find the skilled workers their businesses need, especially in sectors that are aggressively looking for talent. service and a dataset on Hadoop Distributed File System to power the online and offline use cases respectively.

Building 85

Building Recruitment Machine Learning Deep Learning 85

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. Cohere Cohere helps in building powerful and secure applications and helps in searching, understanding, and translating text. One can rely on this information.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

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. But then, a game-changer emerged – DBT (Data Build Tool). In this blog, we will cover: What is DBT? DBT , the Data Build Tool.

Datasets 77

Datasets Entertainment Data Workflow Data 77

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. Thanks to Ideas2IT Technologies for hosting us in their fantastic space.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Monte Carlo

AUGUST 15, 2022

No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch. At the end of the day, our job is to make data as accessible and easy-to-understand as possible. And much more.

Building 52

Building Business Intelligence Finance Database 52

Rockset

MARCH 9, 2023

Blockchain technology has revolutionized the way we store and access data. The Ethereum blockchain executes smart contracts to enable developers to build decentralized applications. In this blog post, we will explore three different ways to query the Ethereum blockchain. Accessing the Ethereum Blockchain with Web3.js

Amazon Web Services 52

Amazon Web Services Datasets AWS Google Cloud 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

Datasets 85

Datasets BI Machine Learning Accessible 85

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

DataKitchen

MAY 10, 2024

This blog post explores the challenges and solutions associated with data ingestion monitoring, focusing on the unique capabilities of DataKitchen’s Open Source Data Observability software. Examples include regular loading of CRM data and anomaly detection.

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data Schemas 52

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

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 109

Data Science Cloud Hadoop Metadata 109

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. Data scientists can build complex dashboards to share their exploration results with their teams and business stakeholders.

Data Analysis 88

Data Analysis PostgreSQL Data Science SQL 88

Cloudera

DECEMBER 19, 2023

Also, while agencies view embracing AI as a strategic imperative that will enable them to accelerate the mission, they also face the challenge of finding readily available talent and resources to build AI solutions. Limit access and capabilities initially. Improve dataset quality. Build public trust through education on AI.

Government 86

Government Education Unstructured Data Datasets 86

Cloudera

NOVEMBER 30, 2022

CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. We have divided the “ Transaction Support in Cloudera Operational Database (COD)” blog into two parts. var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }.

Database 79

Database Datasets NoSQL Big Data 79

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. Say you want to build a pet classifier.

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

Cloudera

AUGUST 10, 2021

With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. For example, writing a Spark dataset to Ozone or launching a DDL query in Hive that points to a location in Ozone. With CDP 7.1.4

Hadoop 104

Hadoop Kafka Datasets Government 104

Knowledge Hut

NOVEMBER 27, 2023

The life of a data scientist involves getting neck-deep into huge datasets, analyzing them, processing them, learning new aspects and making novel discoveries from a business perspective. Data Science revolves around big datasets but many a times, data is not of the quality that is required to take decisions.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

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?

Datasets 96

Datasets Data Science Project Banking 96

Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. Learn how to work with big data technologies to process and analyze large datasets. Who can Become Data Scientist?

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Cloudera

MARCH 21, 2022

Finding the right data and getting access to it are two of the top pain points we hear from our customers. The first step in any machine learning project is finding and getting access to the data store. Doing all these takes time and resources away from the exciting work: building AI Applications. import cml.data_v1 as cmldata.

Machine Learning 79

Machine Learning Data Science Data Datasets 79

Knowledge Hut

APRIL 23, 2024

While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 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. Ranger enables you to create services and add access policies for Apache HBase. Cloudera Shared Data Experience (SDX) .

Database 81

Database Machine Learning Data Lake Kafka 81

Knowledge Hut

MARCH 26, 2024

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. accessibility guidelines.

Media 52

Media Finance Medical Healthcare 52

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

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

Data Engineering Weekly

JUNE 18, 2023

The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. link] Sponsored: [dbt + Monte Carlo Webinar] 5 Critical Steps for Building Impactful Data Organizations Building a data strategy from scratch? I’m super thrilled to see the blog. You're not alone!

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Striim

NOVEMBER 8, 2023

In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics.

Architecture 52

Architecture Generalist Government Datasets 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

AUGUST 8, 2023

It uses different colors to represent the magnitude of values, making it easy to identify patterns and trends within complex datasets. In this blog, we will cover: What is a Heatmap Chart? It is particularly useful for visualizing the distribution and density of data points in a dataset. Why Heatmap Charts?

Datasets 52

Datasets Finance Coding Data Analysis 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 grand library within the castle, filled with books representing different datasets. It integrates with popular BI tools, making it accessible for data analysis and reporting.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Rockset

JANUARY 30, 2024

With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. It also unlocks ways to make it easier and cheaper to build applications on Rockset. Users may be building user-facing search and analytics applications on data that is updated after minutes or hours.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Data Engineering Weekly

MARCH 19, 2023

The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc., I won't trust them. from the browser or mobile app).

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

RandomTrees

MARCH 8, 2024

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. A retail company with a massive transactional dataset clustered its Inventory table based on Inventory_date and Inventory_item. The Benefits of Table Clustering 1.

Data Warehouse 52

Data Warehouse Datasets Retail Big Data 52