Ontotext

AUGUST 24, 2023

To deal with this issue, GraphDB implements a smart Graph Replace optimization that helps you calculate the internal data and only shows you the newly added and removed statements. The second approach is to use some Data Integration Platform. Try the data integration pattern that’s best for you!

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

AWS Big Data

MAY 9, 2023

Hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue for Apache Spark jobs work with your code and configuration of the number of data processing units (DPU).

Data Lake 111

Data Lake Cost-Benefit Data Integration Data Transformation 111

DataKitchen

DECEMBER 9, 2022

By providing real-time visibility into the performance and behavior of data-related systems, DataOps observability enables organizations to identify and address issues before they become critical, and to optimize their data-related workflows for maximum efficiency and effectiveness.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

JANUARY 30, 2025

AWS Glue A data integration service, AWS Glue consolidates major data integration capabilities into a single service. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging. Its also serverless, which means theres no infrastructure to manage.

Data Warehouse 54

Data Warehouse Data Architecture Machine Learning Data Transformation 54

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 124

Analytics Visualization Data Integration Cost-Benefit 124

AWS Big Data

JANUARY 6, 2025

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. We will create a glue studio job, add events and venue data from the SFTP server, carry out data transformations and load transformed data to s3.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

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 raw input data is stored in Amazon S3 in JSON format (called the bronze dataset layer).

Cost-Benefit 94

Cost-Benefit Data Processing Optimization Data-driven 94

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. These query patterns and concurrency were unpredictable in nature.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. GoldenGate provides special tools called S3 event handlers to integrate with Amazon S3 for data replication.

Analytics 111

Analytics Big Data Software Data Integration 111

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

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 122

Data Lake Management Metrics Data Warehouse 122

erwin

MARCH 26, 2020

As a result, we’re seeing the rise of the “citizen analyst,” who brings business knowledge and subject-matter expertise to data-driven insights. Some examples of citizen analysts include the VP of finance who may be looking for opportunities to optimize the top- and bottom-line results for growth and profitability.

Data-driven 90

Data-driven Unstructured Data Enterprise Machine Learning 90

AWS Big Data

JULY 20, 2023

Specifically, the system uses Amazon SageMaker Processing jobs to process the data stored in the data lake, employing the AWS SDK for Pandas (previously known as AWS Wrangler) for various data transformation operations, including cleaning, normalization, and feature engineering. Orca addressed this in several ways.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

JUNE 1, 2021

Our customers must also have secure access to their data from anywhere – from on-premises to hybrid clouds and multiple public clouds. We must integrate and optimize the end-to-end data lifecycle for our customers, empowering them to focus on what really matters – extracting value from their data.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Smarten

AUGUST 4, 2023

If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. Machine learning capability determines the best techniques, and the best fit transformations for data so that the outcome is clear and concise.

Data Lake 52

Data Lake Machine Learning Data Integration Data Quality 52

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs.

Visualization 119

Visualization Dashboards Data-driven Gap analysis 119

IBM Big Data Hub

JULY 28, 2023

As an independent software vendor (ISV), we at Primeur embed the Open Liberty Java runtime in our flagship data integration platform, DATA ONE. Primeur and DATA ONE As a smart data integration company, we at Primeur believe in simplification. Data Shaper , providing any-to-any data transformations.

Data Integration 55

Data Integration Optimization Software Insurance 55

Cloudera

NOVEMBER 22, 2021

Rise in polyglot data movement because of the explosion in data availability and the increased need for complex data transformations (due to, e.g., different data formats used by different processing frameworks or proprietary applications). As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Zenia Graph’s Salesforce Accelerator makes this a reality.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

AWS Big Data

SEPTEMBER 13, 2024

To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization. Data integration workflow A typical data integration process consists of ingestion, analysis, and production phases.

Interactive 109

Interactive Strategy Cost-Benefit Data Governance 109

Octopai

JUNE 9, 2024

By doing so, they aimed to drive innovation, optimize operations, and enhance patient care. They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. Solving the data lineage problem directly supported their data products by ensuring data integrity and reliability.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Ontotext

MARCH 27, 2024

Poor data modeling capabilities of LPGs with vendor specific constructs to express semantic constraints hinders portability, expressibility, and semantic data integration. It accelerates data projects with data quality and lineage and contextualizes through ontologies , taxonomies, and vocabularies, making integrations easier.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

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

FineReport

JUNE 7, 2024

Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions. Key Features Intuitive Data Visualization Tools : Tableau offers a wide range of intuitive tools that allow users to create interactive data visualization effortlessly.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Alation

OCTOBER 28, 2021

It defines how data can be collected and used within an organization, and empowers data teams to: Maintain compliance, even as laws change. Uncover intelligence from data. Protect data at the source. Put data into action to optimize the patient experience and adapt to changing business models.

Data Governance 52

Data Governance Measurement Data Quality Metrics 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. Wait for all the jobs to complete.

Sales 52

Sales Data Warehouse Visualization Testing 52

Occam's Razor

OCTOBER 19, 2010

A huge vast majority of clicks coming from search engines continue to be organic clicks (which is why I love and adore search engine optimization). Google Website Optimizer. Here's a free guide – 26 pages – to use the website optimizer optimally: PDF Download: The Techie Guide to Google Website Optimizer.

Analytics 136

Analytics Testing Measurement Optimization 136

CIO Business Intelligence

AUGUST 7, 2024

It also takes advantage of cooler nighttime temperatures, utilizing ambient air cooling for 75% to 80% of the year; it uses a hybrid system that combines ambient air with the water-free cooling technology to optimize efficiency for the remaining 20% to 25% of the year.

IT 119

IT Insurance Cost-Benefit Testing 119

Smarten

JANUARY 4, 2018

Think of your data warehouse as an active repository that is ever changing as new data sources keep on getting added and existing data sources keep on getting updated. In order to manage the environment, an organization must dedicate resources to monitor and track ETL process, its data flow, data integration and data updates.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40