AWS Big Data

MARCH 15, 2023

Infomedia was looking to build a cloud-based data platform to take advantage of highly scalable data storage with flexible and cloud-native processing tools to ingest, transform, and deliver datasets to their SaaS applications. The Parquet format results in improved query performance and cost savings for downstream processing.

Cost-Benefit 68

Cost-Benefit Data Processing Optimization Data-driven 68

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 ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning .

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 91

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

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

Sisense

AUGUST 6, 2020

AI and machine learning (ML) are not just catchy buzzwords; they’re vital to the future of our planet and your business. Doing it right can mean the difference between thriving in the new world of data and disappearing from it. What data transformations are needed from your data scientists to prepare the data?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

AWS Big Data

AUGUST 9, 2023

The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. monitor" WHERE event_type = 'failed' group by service_type order by fail_count desc; Over time with rich observability data – time series based monitoring data analysis will yield interesting findings.

Data Lake 90

Data Lake Metrics Testing Cost-Benefit 90

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.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 74

Risk Modeling Management Metadata 74

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Cost-effective pricing and comprehensive supporting services, maximizing value.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

FEBRUARY 6, 2023

To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Choose Update.

Data Lake 88

Data Lake Data Transformation Cost-Benefit Data-driven 88

AWS Big Data

OCTOBER 27, 2023

AWS Glue , a serverless data integration and extract, transform, and load (ETL) service, has revolutionized this process, making it more accessible and efficient. AWS Glue eliminates complexities and costs, allowing organizations to perform data integration tasks in minutes, boosting efficiency.

Analytics 98

Analytics Visualization Data Integration Cost-Benefit 98

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

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale. Shashank Tewari is a Senior Technical Account Manager at AWS.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

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 78

Dashboards Optimization Data Lake Cost-Benefit 78

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

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

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. But this was only the tip of the analytics iceberg. One solution with immense potential is ”edge computing.”

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JANUARY 27, 2023

Organizations with contact centers benefit from advanced analytics on their call recordings to gain important product feedback, improve contact center efficiency, and identify coaching opportunities for their staff. The AWS Glue Data Catalog has the table definitions for the data sources.

Analytics 62

Analytics Reporting Dashboards Visualization 62

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

AWS Big Data

OCTOBER 18, 2023

Melody Yang is a Senior Big Data Solutions Architect for Amazon EMR at AWS. She is an experienced analytics leader working with AWS customers to provide best practice guidance and technical advice in order to assist their success in data transformation. or later installed. or later installed.

Big Data 83

Big Data Data Processing Interactive Testing 83

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

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. As real-time analytics and machine learning stream processing are growing rapidly, they introduce a new set of technological and conceptual challenges.

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

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Missing values can be filled in based on expert knowledge, heuristics, or by some machine learning techniques.

Testing 68

Testing Modeling Interactive Measurement 68

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 79

Cost-Benefit Metadata Optimization Management 79

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. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Alation

NOVEMBER 22, 2022

Public sector departments and agencies traditionally collect data so that they can support citizens and deliver services. In today’s analytics-driven society, the public sector can transform this historic information to reduce operational costs and improve public service to better address the needs of a given community.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52