Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Data Warehouse 97

Data Warehouse Machine Learning Visualization Data Lake 97

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 72

Data Integration Snapshot Testing Visualization 72

datapine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Your Chance: Want to test a professional logistics analytics software? Use our 14-days free trial today & transform your supply chain!

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

datapine

SEPTEMBER 29, 2022

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

OCTOBER 19, 2021

Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity. This combined with Cloudera Data Engineering’s (CDE) first-class job management APIs and centralized monitoring is delivering new value for modernizing enterprises.

Data Transformation 120

Data Transformation Interactive Machine Learning Testing 120

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. Validate and test through the entire migration. Sirius can help.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

CIO Business Intelligence

JUNE 13, 2022

The volume of work coming at IT is one of the top issues identified by CIOs, researchers, and executive advisors, or as Elizabeth Hackenson, CIO of Schneider Electric, puts it: “The accelerated demand for digital capabilities throughout the enterprise simultaneously.”. “In Others also list data initiatives as a top issue for CIOs.

IT 144

IT Digital Transformation Strategy Internet of Things 144

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Microsoft Azure.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

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 75

Machine Learning Statistics Modeling Dashboards 75

Cloudera

DECEMBER 21, 2021

In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines. We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform.

Snapshot 118

Snapshot Data-driven Optimization Management 118

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

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 70

Reporting Metrics Optimization Data Lake 70

Alation

FEBRUARY 20, 2020

In perhaps a preview of things to come next year, we decided to test how a Data Catalog might work with Tableau on the same data. You can check out a self service data prep flow from catalog to viz in this recorded version here. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

AWS Big Data

FEBRUARY 6, 2023

Have an AWS account with permission on AWS Lambda , QuickSight (Enterprise edition), and AWS CloudFormation. Clean up After you complete all the steps and finish testing, complete the following steps to delete resources to avoid incurring costs: On the AWS CloudFormation console, choose the stack you created. Choose Delete.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys.

Analytics 94

Analytics IoT Metadata Internet of Things 94

DataKitchen

JULY 27, 2023

It provides data prep, management, and enterprise data warehousing tools. It has a data pipeline tool , as well. Azure Logic Apps: This service helps you schedule, automate, and orchestrate tasks, business processes, and workflows when integrating apps, data, systems, and services across enterprises or organizations.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Ontotext

APRIL 4, 2019

The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Economy.bg: How would the smart enterprise of the future look like? This is one of the main diagnostic tests.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Alation

MARCH 22, 2022

Accenture calls it the Intelligent Data Foundation (IDF), and it’s used by dozens of enterprises with very complex data landscapes and analytic requirements. Simply put, IDF standardizes data engineering processes. They can better understand data transformations, checks, and normalization.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against. Native Python Support for Snowpark.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

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

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault. Data Vault 2.0

Enterprise 85

Enterprise Data Warehouse Data Lake Optimization 85

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. An Overarching Concern: Correctness and Testing. Why did something break?

IT 351

IT Testing Experimentation Software 351

Smarten

MAY 13, 2024

To accomplish this interchange, the method uses data mining and machine learning and it contains components like a data dictionary to define the fields used by the model, and data transformation to map user data and make it easier for the system to mine that data. Simple interpretation of models in English.

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

JANUARY 9, 2023

Customers are increasingly demanding access to real-time data, and freight transportation provider Estes Express Lines is among the rising tide of enterprises overhauling their data operations to deliver it. At one point, I had 15 people on my data team and seven of them were engaged only in data analysis.”

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 85

Dashboards Visualization Metrics Data Transformation 85

Alation

JANUARY 17, 2023

Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack? The modern data stack is well-suited for companies with large amounts of data. An example of a data science tool is Dataiku. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 88

Data Lake Data Architecture Metadata Data Warehouse 88

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. To load the time series for a specific point into a pandas data frame, you can use the awswrangler library from your Python code: import awswrangler as wr import pandas as pd # Retrieving the data directly from Amazon S3 df = wr.s3.read_parquet("s3://

Machine Learning 130

Machine Learning Visualization IoT Digital Transformation 130

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

OCTOBER 31, 2023

Select the Snowflake enterprise edition for the AWS Cloud platform. If you’re testing on a different Amazon MWAA version, update the requirements file accordingly. For testing purposes, you can choose Add permissions and add the managed AmazonS3FullAccess policy to the user instead of providing restricted access.

Data Processing 90

Data Processing Management Publishing Testing 90

Cloudera

OCTOBER 14, 2020

The Test and Development queue have fixed resource limits. YuniKorn, thus empowers Apache Spark to become an enterprise-grade essential platform for users, offering a robust platform for a variety of applications ranging from large scale data transformation to analytics to machine learning. Acknowledgments.

Machine Learning 118

Machine Learning Management Big Data Optimization 118

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. Healthcare organizations need to manage and protect sensitive information in a consistent, secure, and organized way.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

CIO Business Intelligence

OCTOBER 11, 2022

AWS’s expertise with scaling cloud services was invaluable in helping AstraZeneca build an end-to-end machine learning platform, called AI Bench, to make it easier to apply machine learning across the enterprise. “AI Instead, focus on getting solutions out quickly, testing and improving them, and then scale them out across the company. “We

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Testing 246