AWS Big Data

OCTOBER 18, 2023

host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password') username') echo -e "n host: $HOST_NAMEn DB: $DB_NAMEn passowrd: $PASSWORDn username: $USER_NAMEn" After connected through Session Manager, query the Hive metastore from your Amazon EMR master node.

Big Data 104

Big Data Data Processing Interactive Testing 104

CIO Business Intelligence

JUNE 13, 2022

According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. Others also list data initiatives as a top issue for CIOs.

IT 144

IT Digital Transformation Internet of Things Strategy 144

Cloudera

OCTOBER 8, 2024

Typically, organizations approach generative AI POCs in one of two ways: by using third-party services, which are easy to implement but require sharing private data externally, or by developing self-hosted solutions using a mix of open-source and commercial tools.

Optimization 80

Optimization Experimentation Metrics Enterprise 80

AWS Big Data

MARCH 9, 2023

He is passionate about shaping the future of infusing data-rich experiences into products and applications we use every day. Rohit brings a wealth of experience in analytics and machine learning from having worked with leading data companies, and their customers.

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. This ensures that the data is suitable for training purposes.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349. This is optional.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

JULY 26, 2023

Solution overview Typically, you have multiple accounts to manage and provision resources for your data pipeline. Every time the business requirement changes (such as adding data sources or changing data transformation logic), you make changes on the AWS Glue app stack and re-provision the stack to reflect your changes.

Data Integration 95

Data Integration Snapshot Testing Visualization 95

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. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

APRIL 25, 2023

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. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. Step Functions is used to orchestrate the data processing. Let’s take an example.

Sales 95

Sales Visualization Software Marketing 95

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). Platform architects define a well-architected platform.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

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 59

Cost-Benefit Informatics Optimization Management 59

Alation

FEBRUARY 2, 2023

They are knowledgeable about the different tools and technologies used in the industry, such as programming languages, data processing frameworks, machine learning libraries, databases, and analytics platforms for call history. They know how to choose the best tools for the job and use them effectively.

Management 52

Management Data-driven Visualization Strategy 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

AUGUST 7, 2024

To counter bad actors, TCS decided to deploy automation, artificial intelligence, and machine learning resulting in a more sophisticated, AI-assisted enterprise defense. Options included hosting a secondary data center, outsourcing business continuity to a vendor, and establishing private cloud solutions.

IT 119

IT Insurance Cost-Benefit Testing 119

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. As a result, alternative data integration technologies (e.g., Limited flexibility to use more complex hosting models (e.g., public, private, hybrid cloud)?

Data Processing 100

Data Processing Data Warehouse Enterprise Visualization 100

AWS Big Data

DECEMBER 4, 2024

By treating the data as a product, the outcome is a reusable asset that outlives a project and meets the needs of the enterprise consumer. Consumer feedback and demand drives creation and maintenance of the data product. Her special areas of interest are data analytics, machine learning/AI, and application modernization.

Metadata 104

Metadata Data Governance Data Quality Data-driven 104

IBM Big Data Hub

JUNE 15, 2023

A lakehouse should make it easy to combine new data from a variety of different sources, with mission critical data about customers and transactions that reside in existing repositories. New insights are found in the combination of new data with existing data, and the identification of new relationships.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

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 Key Features: Extensive library of pre-built connectors for diverse data sources.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 1, 2023

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.

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