Dataiku

SEPTEMBER 26, 2022

Whether it’s being used as part of an Extract Transform Load process in data warehousing (or in some cases with modern cloud data stacks , ELT), for use in ML models, or simply ad hoc analysis, data transformation is a key part of nearly any project involving data.

Data Transformation 52

Data Transformation Modeling IT 52

DataCamp

SEPTEMBER 27, 2021

We’ve compiled a list of resources to inform your data transformation, data culture initiative, and data upskilling. Explore these webinars and white papers.

Data Transformation 90

Data Transformation 90

Analytics Vidhya

DECEMBER 11, 2023

Introduction Power Query is a powerful data transformation and manipulation tool in PowerBI that allows users to extract, transform, and load data from various sources. It provides a user-friendly interface for performing complex data transformations without the need for coding.

Data Transformation 167

Data Transformation Analytics IT 167

TDAN

FEBRUARY 21, 2024

In a world increasingly dominated by data, organizations are grappling with the need to effectively manage and harness this valuable asset.

Data Transformation 59

Data Transformation Digital Transformation Data-driven Management 59

Alation

OCTOBER 26, 2021

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Peter James Thomas

MAY 10, 2019

But the 5 questions I highlight are as follows: Why does my organisation need to embark on a Data Transformation – what will it achieve for us? Do I have the expertise and experience on hand to scope a Data Transformation and then deliver it? How long will a Data Transformation take and how much will it cost?

Data Transformation 50

Data Transformation Consulting Publishing Management 50

Bruno Aziza

JULY 1, 2020

Leading companies are undertaking a wholesale transformation to enable remote work leveraging digital capabilities and data.

Data Transformation 125

Data Transformation Technology 125

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Data-driven 262

Data-driven Data Transformation Analytics Data Warehouse 262

Analytics Vidhya

FEBRUARY 4, 2023

Introduction This article will explain the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) when data transformation occurs. In ETL, data is extracted from multiple locations to meet the requirements of the target data file and then placed into the file.

Data Transformation 272

Data Transformation Analytics Data Warehouse Data Integration 272

Analytics Vidhya

AUGUST 29, 2022

Introduction Apache Flink is a big data framework that allows programmers to process huge amounts of data in a very efficient and scalable way. This article will introduce some basic API concepts and standard data transformations available in the Apache Flink Java API. The […].

Big Data 283

Big Data Data Transformation Data Science Publishing 283

Analytics Vidhya

APRIL 29, 2022

Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation.

Data-driven 314

Data-driven Data Transformation Data Integration Data Science 314

Bruno Aziza

AUGUST 18, 2019

Although CIO’s and CDO’s aspire to be on the offensive in using data to drive revenue generation and business growth, it is defensive initiatives that are providing cover for forward-looking transformation ambitions.

Data Transformation 77

Data Transformation IT 77

IBM Big Data Hub

OCTOBER 24, 2017

If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.

Data Transformation 77

Data Transformation Analytics IT 77

Analytics Vidhya

JUNE 18, 2019

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

Modeling 306

Modeling Data Transformation Analytics Deep Learning 306

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 90

Metadata Data Lake Visualization Data Transformation 90

DataKitchen

JUNE 30, 2021

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

Data Processing 130

Data Processing Data Transformation 130

CIO Business Intelligence

FEBRUARY 20, 2024

The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital. The company can also unify its knowledge base and promote search and information use that better meets its needs.

Data Architecture 93

Data Architecture Unstructured Data Manufacturing IT 93

CIO Business Intelligence

NOVEMBER 17, 2022

Data has become a top priority for businesses large and small, and while some companies have already established a digital strategy, many of them are just getting started. However, the ability to drive digital technology transformation is going to be the focus,” says Stephen Van Vreede, resume expert at IT Tech Exec.

Data Governance 121

Data Governance Data Transformation Strategy Data Strategy 121

CIO Business Intelligence

MARCH 4, 2024

These domain data leaders often cite the diminishing returns and significant effort of central data team engagement. Additionally, data silos and fragmentation often occur inorganically as in the case of merger or acquisition scenarios.

Insurance 94

Insurance Strategy Data Governance Data Integration 94

MLWhiz

AUGUST 26, 2020

Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary data transformation. You can take a look at this post, which talks about handling most of the data manipulation cases using a straightforward, simple, and matter of fact way using Pandas.

Slice and Dice 131

Slice and Dice Data Transformation IT 131

Dataiku

SEPTEMBER 23, 2021

We speak a lot about the ways we can use data, transform it, and create powerful models based on advanced machine learning techniques, but we sometimes forget where the data comes from initially.

Machine Learning 104

Machine Learning Data Transformation Modeling IT 104

KDnuggets

AUGUST 17, 2022

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects - Part 2 • What Does ETL Have to Do with Machine Learning? Data Transformation: Standardization vs Normalization • The Evolution From Artificial Intelligence to Machine Learning to Data Science.

Data Science 74

Data Science Machine Learning Data Transformation 74

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Data Transformation 98

Data Transformation Management Risk Management Risk 98

TDAN

MARCH 16, 2021

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

Data Transformation 98

Data Transformation Risk Management Risk Data Strategy 98

Dataiku

MAY 3, 2023

Managing data transformations and maintaining the quality of your pipelines can take up the largest part of a team’s time, keeping you from building new projects and exploring different initiatives.

Data Transformation 52

Data Transformation Modeling Management 52

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Domino Data Lab

JUNE 7, 2022

The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference. Features are input for machine learning models.

Machine Learning 64

Machine Learning Data Transformation Modeling 64

DataKitchen

NOVEMBER 10, 2023

Solutions to Reign in the Chaos Implementing Data Observability Platforms: Tools like DataKitchen’s DataOps Observability provide an overarching view of the entire Data Journey. They enable continuous monitoring of data transformations and integrations, offering invaluable insights into data lineage and changes.

Data Quality 141

Data Quality Testing Data Lake Data Integration 141

Domino Data Lab

JUNE 6, 2022

The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference. Features are input for machine learning models.

Machine Learning 52

Machine Learning Data Transformation Modeling 52

Smart Data Collective

OCTOBER 20, 2021

so, understanding their importance is the key: Faster Data Mapping: AI-enabled solutions can help users map customer data in minutes instead of months. This speeds up data transformation and decision-making. Not only will this increase the speed but also the accuracy of the data mapping process.

Data Integration 119

Data Integration Machine Learning Big Data Data Transformation 119

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

CIO Business Intelligence

OCTOBER 18, 2022

The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated. In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. With this Technical Preview release, any CDE customer can test drive the new authoring interface by setting up the latest CDE service.

Data Transformation 115

Data Transformation Interactive Machine Learning Testing 115

InsightOut

MAY 4, 2021

In this data-driven world, building a team of data analysts can be a challenge. Implementing data visualization and analytics dashboards can be the beginning of the data transformation journey.

Visualization 52

Visualization Dashboards Data-driven Data Transformation 52

datapine

SEPTEMBER 29, 2022

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. Data time-to-value: evaluates how long it takes you to gain insights from a data set. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 130

Metadata Data Transformation Business Intelligence Reporting 130