Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This platform can be implemented in a cost-effective serverless cloud environment and put to work right away. They can better understand data transformations, checks, and normalization. Alation’s DataOps Role.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Cloudera

AUGUST 8, 2022

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

Snapshot 89

Snapshot Data Warehouse Machine Learning Cost-Benefit 89

AWS Big Data

FEBRUARY 6, 2023

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. Are any mixed development and operation jobs operating in one cluster? Choose Delete. Choose Delete stack.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

DataKitchen

JULY 27, 2023

Azure Functions: You can write small pieces of code (functions) that will do the transformations for you. Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Insight

APRIL 8, 2020

At Insight, our Data Engineering Fellows program is a collaborative learning space for people with strong computer science fundamentals who want to transition to data engineering through hands-on experience with distributed computing technologies. these are common on Glassdoor) so there is a possibility that cheating may occur.

Cost-Benefit 96

Cost-Benefit Software Data Warehouse Optimization 96

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? Extract, load, Transform (ELT) tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift data sharing allows you to extend the ease of use, performance, and cost benefits offered by a single cluster to multi-cluster deployments while being able to share data. Data sharing enables instant, granular, and fast data access across Amazon Redshift data warehouses without the need to copy or move it.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

Sisense

AUGUST 6, 2020

AI can add value to your product/service in many ways, including: Improved business performance Reduced costs Increased customer satisfaction Improved brand value Risk reduction (reduced human error, fraud reduction, spam reduction) Improved convenience and accessibility of products. Be sure test cases represent the diversity of app users.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

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

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources.

Management 107

Management Metadata Analytics Dashboards 107

AWS Big Data

OCTOBER 18, 2023

They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection. Melody Yang is a Senior Big Data Solutions Architect for Amazon EMR at AWS.

Big Data 82

Big Data Data Processing Interactive Testing 82

AWS Big Data

JULY 27, 2023

The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. runtime and benefit from the significant performance improvements it brings.

Visualization 83

Visualization Cost-Benefit Data Quality Interactive 83

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 66

Machine Learning Data Warehouse Modeling Cost-Benefit 66

DataRobot Blog

APRIL 4, 2022

The three main ingredients are: Sales data (usually weekly): product quantity, value, selling distribution, promotional activity (discounts, multi-buys, etc.) Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), Classical Attribution Methods.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge of and adherence to battle-tested best practices, and using the right tools and features in the right scenario. Data Vault 2.0 Data Vault 2.0

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

Domino Data Lab

AUGUST 20, 2019

The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Feature extraction means moving from low-level features that are unsuitable for learning—practically speaking, we get poor testing results—to higher-level features which are useful for learning. Separate out a hold-out test set.

Testing 68

Testing Modeling Interactive Measurement 68

DataKitchen

APRIL 26, 2021

GSK had been pursuing DataOps capabilities such as automation, containerization, automated testing and monitoring, and reusability, for several years. DataOps provides the “continuous delivery equivalent for Machine Learning and enables teams to manage the complexities around continuous training, A/B testing, and deploying without downtime.

Measurement 246

Measurement Metrics Data-driven Testing 246

Cloudera

OCTOBER 11, 2021

They will automatically get the benefits of CDP Shared Data Experience (SDX) with enterprise-grade security and governance. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Cost efficiencies by taking advantage of Spot instances. Conclusion.

Data Lake 90

Data Lake Cost-Benefit Data-driven Dashboards 90

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

AWS Big Data

APRIL 5, 2023

The company already used AWS in other aspects of its business and found that QuickSight would not only meet all its BI and reporting needs with seamless integrations into the AWS stack, but also bring with it several unique benefits unlike incumbents and other tools evaluated. “We It takes only seconds to load dashboards.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

MAY 1, 2023

Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52