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 92

Data Lake Cost-Benefit Data-driven Dashboards 92

IBM Big Data Hub

JULY 5, 2023

In the case of Hadoop, one of the more popular data lakes, the promise of implementing such a repository using open-source software and having it all run on commodity hardware meant you could store a lot of data on these systems at a very low cost. But it never co-existed amicably within existing data lake environments.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

AWS Big Data

APRIL 26, 2023

Applied services Our solution uses the serverless services AWS Glue and Amazon Simple Storage Service (Amazon S3) to run ETL (extract, transform, and load) workflows without managing an infrastructure. It also reduces the costs by paying only for the time jobs are running.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

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 91

Data Lake Data Warehouse Data-driven B2B 91

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. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 85

Visualization Cost-Benefit Data Quality Interactive 85

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. 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.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

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

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 83

Big Data Data Processing Interactive Testing 83

AWS Big Data

FEBRUARY 21, 2023

Solutions Architect – AWS SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how people interact with those places. Their costs were climbing.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

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. We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams.

Management 107

Management Metadata Analytics Dashboards 107

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 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. Using CDW with Iceberg. Time travel.

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 91

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Foundation models can use language, vision and more to affect the real world.

Risk 72

Risk Modeling Management Metadata 72

Cloudera

JUNE 17, 2022

Instead of configuring every on-premises application to push data to your cloud NiFi deployments, the most efficient approach is to establish a NiFi deployment on-premises (e.g. using Cloudera Flow Management) and use it to collect data from all your on-premises systems. Syslog data pipelines for cybersecurity use cases.

Cost-Benefit 92

Cost-Benefit IoT Data Warehouse Manufacturing 92

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

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

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. What are the right KPIs and outputs for your product?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0 Data Vault 2.0

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

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 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Jet Global

AUGUST 24, 2023

This optimization leads to improved efficiency, reduced operational costs, and better resource utilization. Mitigated Risk and Data Control: Finance teams can retain sensitive financial data on-premises while leveraging the cloud for less sensitive functions.

Finance 52

Finance Reporting Data Integration Risk 52

Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. Another goal that teams dealing with streaming data may have is managing and optimizing a file system on object storage. Feel free to explore your data now.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

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

JANUARY 17, 2024

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. Next, we create an AWS Cloud9 interactive development environment (IDE). Choose Create key pair.

Data Lake 96

Data Lake Snapshot Big Data Data-driven 96

Domino Data Lab

AUGUST 20, 2019

There are three major strategies: manual techniques based on our knowledge of the problem and the data, random sampling techniques that use coin flipping to keep or discard data, and model-based techniques that attempt to keep features that interact well with our learning model. In this example, the cat costs are 20 and 25.

Testing 68

Testing Modeling Interactive Measurement 68