datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Jen Stirrup

SEPTEMBER 30, 2021

They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way. Data Science – Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Credit: [link].

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

datapine

SEPTEMBER 29, 2022

What Is Data Quality Management (DQM)? Data quality management is a set of practices that aim at maintaining a high quality of information. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Sisense

AUGUST 28, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. What is data integrity?

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Testing 80

Testing Publishing Metadata Interactive 80

AWS Big Data

JULY 26, 2023

To grow the power of data at scale for the long term, it’s highly recommended to design an end-to-end development lifecycle for your data integration pipelines. The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop?

Data Integration 69

Data Integration Snapshot Testing Visualization 69

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. – Leon C. Adapt or face decline.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 60

Dashboards Testing Metrics Optimization 60

Octopai

OCTOBER 6, 2022

We’re not sure if data assets experience stress when they have to migrate to a new residence, but certainly all of the humans involved in the data migration process do! What’s a time-tested strategy to ease the packing-and-unpacking part of moving house? Duplicate data Outdated data Redundant data Irrelevant data.

Testing 52

Testing Visualization Data Transformation Strategy 52

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. Disable the rules after testing to avoid repeated messages.

Data Lake 84

Data Lake Metrics Testing Cost-Benefit 84

AWS Big Data

MARCH 16, 2023

This post is co-written by Anish Moorjani, Data Engineer at SafetyCulture. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

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. Making the most commonly used as readily available as possible is critical to reduce development friction. .

Data Transformation 114

Data Transformation Interactive Machine Learning Testing 114

O'Reilly on Data

OCTOBER 19, 2021

Why: Data Makes It Different. In contrast, a defining feature of ML-powered applications is that they are directly exposed to a large amount of messy, real-world data which is too complex to be understood and modeled by hand. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices?

IT 346

IT Testing Experimentation Software 346

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Snowflake supports data that is structured, delimited (CSV, TSV, etc.)

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

Smart Data Collective

APRIL 29, 2020

What is data management? Data management can be defined in many ways. The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). Data transformation. Data analytics and visualisation. Microsoft Azure.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

Cloudera

OCTOBER 13, 2020

CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. Predict – Data Engineering (Apache Spark). 3) Data Visualization is in Tech Preview on AWS and Azure. New Services. Learn More, Keep in Touch.

Data Warehouse 90

Data Warehouse Machine Learning Visualization Data Lake 90

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 66

Reporting Metrics Optimization Data Lake 66

Cloudera

DECEMBER 21, 2021

Packaging Apache Airflow and exposing it as a managed service within CDE alleviates the typical operational management overhead of security and uptime while providing data engineers a job management API to schedule and monitor multi-step pipelines. Test Drive CDP Pubic Cloud.

Snapshot 115

Snapshot Data-driven Optimization Management 115

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

Analytics 90

Analytics IoT Metadata Internet of Things 90

Cloudera

JULY 21, 2022

Rill provides pre-built connectors along with a front-end purpose-built for analyzing data in Druid. Druid’s native support for ingesting data from Apache Kafka allows it to stream data from Cloudera DataFlow to Rill’s fully managed Druid service. Data is made queryable in real time. Cloudera Data Warehouse).

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82

Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. It was down to Qlik, Microsoft, Microstrategy, and Tableau to represent and discover the complexities of the College Scorecard Data from the U.S. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Cloudera

FEBRUARY 8, 2021

Next step is to create our table in which the data will be stored in our database. Now, let’s start testing our model! Basically, this script does the following: a) Gets the daily stocks data from the alpha vantage. b) Basic data transformation. c) Store the data in Cloudera Operational Database .

Machine Learning 71

Machine Learning Statistics Modeling Dashboards 71

AWS Big Data

JULY 31, 2023

Data has become an integral part of most companies, and the complexity of data processing is increasing rapidly with the exponential growth in the amount and variety of data. Select the connection again and on the Actions menu, choose Test connection. Testing the connection can take approximately 1 minute.

Sales 52

Sales Data Warehouse Visualization Testing 52

Sisense

FEBRUARY 26, 2020

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. Digital transformation has proven benefits.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. Simply put, IDF standardizes data engineering processes. How the IDF Supports a Smarter Data Pipeline. Transparency is key.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

DataKitchen

JULY 27, 2023

While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

APRIL 25, 2024

Although you can use partitioning with a natural key such as city or state to narrow down your dataset to some degree, it is still necessary to query across date-based partitions if your data is time series. Given this scenario, it would be a good idea to partition the data by report_type and bucket it by station_id.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. So questions linger about whether transformed data can be trusted.

Data Governance 40

Data Governance Risk Metadata Management 40

Insight

APRIL 8, 2020

For example, they may give applicants access to an API and ask them to query data that satisfies some criteria, or they may share a large dataset and asking applicants to perform some sort of data transformation. Each submission is run through a series of tests to ensure that the desired output is produced.

Cost-Benefit 96

Cost-Benefit Software Data Warehouse Optimization 96

Ontotext

APRIL 4, 2019

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

APRIL 25, 2023

Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. Let’s take an example. Choose Create stack.

Sales 68

Sales Visualization Software Marketing 68

DataRobot Blog

MARCH 10, 2022

These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. This type of growth has stressed legacy data management systems and makes it nearly impossible to implement a profitable data-centered solution.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Next, one of the most common data management tasks is to modify the schema of the table. 1 2008 7009728.

Snapshot 87

Snapshot Data Warehouse Machine Learning Cost-Benefit 87

AWS Big Data

FEBRUARY 6, 2023

The YARN log analyzer provides four key functionalities: Upload transformed YARN job history logs in CSV format (for example, cluster_yarn_logs_*.csv His area of interests are data lakes and cloud modern data architecture delivery. Kalen Zhang was the Global Segment Tech Lead of Partner Data and Analytics at AWS.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

Smart Data Collective

JULY 25, 2019

When it comes to the use of modern big data technologies by hospitals, it is about health care and saving lives. These systems rely heavily on big data to improve efficiency and cost-effectiveness. It is simple and convenient to use outsourcing IT services when you need to get a perfect big data solution. Conclusion.

Big Data 96

Big Data Data Transformation Management Software 96