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

KDnuggets

OCTOBER 22, 2024

Utilize these transformation techniques in your data workflow.

Data Transformation 118

Data Transformation 118

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI.

Data Transformation 116

Data Transformation Machine Learning Data Lake Dashboards 116

Timo Elliott

NOVEMBER 7, 2024

At IKEA, the global home furnishings leader, data is more than an operational necessity—it’s a strategic asset. In a recent presentation at the SAPSA Impuls event in Stockholm , George Sandu, IKEA’s Master Data Leader, shared the company’s data transformation story, offering valuable lessons for organizations navigating similar challenges.

Data Transformation 84

Data Transformation Data Quality Digital Transformation Strategy 84

Smart Data Collective

JULY 25, 2019

The post Is Big Data Transforming Our Broken Hospital Management Systems? But regardless of what you pick, one thing is certain — it is essential to have an effective software product for a hospital to manage various health care and administrative tasks. appeared first on SmartData Collective.

Big Data 100

Big Data Data Transformation Management Software 100

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 290

Data-driven Data Science Data Transformation Data Integration 290

Analytics Vidhya

JUNE 14, 2024

Introduction Have you ever struggled with managing complex data transformations? In today’s data-driven world, extracting, transforming, and loading (ETL) data is crucial for gaining valuable insights. While many ETL tools exist, dbt (data build tool) is emerging as a game-changer.

Data-driven 263

Data-driven Data Transformation Management Analytics 263

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 276

Modeling Data Transformation Analytics Deep Learning 276

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

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

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 256

Big Data Data Science Data Transformation Publishing 256

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 178

Data Transformation Analytics IT 178

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 226

Data Transformation Analytics Data Warehouse Data Integration 226

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 212

Data-driven Data Transformation Analytics Data Warehouse 212

TDAN

AUGUST 15, 2023

Nearly every data leader I talk to is in the midst of a data transformation. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals. And it’s no surprise, really.

Data Transformation 52

Data Transformation Sales Data Governance Metadata 52

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

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

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 72

Data Transformation Analytics IT 72

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

KDnuggets

OCTOBER 3, 2024

Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.

Visualization 135

Visualization Data Transformation Management 135

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

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

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

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 128

Data Governance Data Transformation Strategy Reporting 128

AWS Big Data

NOVEMBER 22, 2024

The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses, the demand for efficient data transformation tools has grown. This approach helps in managing storage costs while maintaining the flexibility to analyze historical trends when needed.

Data Lake 87

Data Lake Data Warehouse Cost-Benefit Data Transformation 87

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Typically users need to ingest data, transform it into optimal format with quality checks, and optimize querying of the data by visual analytics tool.

Management 115

Management Cost-Benefit Data Transformation Optimization 115

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

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

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 103

Machine Learning Data Transformation Modeling IT 103

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 130

Data Integration Machine Learning Big Data Statistics 130

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 104

Metadata Data Lake Visualization Data Quality 104

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

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

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 133

Metadata Data Transformation Business Intelligence Reporting 133

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 121

Data Transformation Interactive Machine Learning Testing 121

Cloudera

OCTOBER 7, 2022

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. The Open Data Lakehouse . Cloudera builds dbt adaptors for all engines in the open data lakehouse.

Data Warehouse 83

Data Warehouse Data Transformation Testing Machine Learning 83