Translate "etl" to Italian

EN ETL is the global standard for processing large amounts of data. ETL distributes the process across a set of linked processors which operate over a common framework (such as Apache Hadoop.) The ETL process includes three distinct functions:

• standard for processing
• across a set
• common framework
• Apache
• ETL process includes
• distinct

EN If an organization cannot afford ETL’s infrastructure, they can look for an ETL platform as a service. Many companies offer ETL services on the cloud that ensure full support, easy integration, and scalability.

• organization cannot afford
• infrastructure
• companies offer ETL
• cloud that ensure
• easy integration

EN Streamline data warehouse and ETL generation. ETL code is auto-generated to populate and load data warehouses.

• Streamline data warehouse
• ETL generation
• populate

EN The key difference between ETL and ELT tools is ETL transforms data prior to loading data into target systems, while the latter transforms data within those systems

• key difference between
• transforms data prior
• systems
• while the latter
• within those systems

EN This dramatic change in speed, along with the proliferation of cheap, replaceable storage, were the catalysts that transformed ETL from a local, expensive, and cumbersome process to what we know of today as cloud-based ETL.

• cheap
• replaceable storage
• were the catalysts
• local
• expensive
• know of today
• cloud-based

EN Today, ETL processes are taking place in the cloud, alongside technologies such as application development, eCommerce, and IT security. Cloud-native ETL follows the familiar three-step process, but changes the way the steps are completed.

• Today
• application development
• eCommerce
• security
• Cloud-native ETL follows
• familiar three-step process
• changes the way

EN Finally, ETL tools are designed to optimize each stage of the ETL process, which reduces the amount of time it takes to turn raw data into business insights.

• Finally
• optimize each stage
• ETL process
• reduces the amount
• takes to turn

EN Streamline data warehouse and ETL generation. ETL code is auto-generated to populate and load data warehouses.

• Streamline data warehouse
• ETL generation
• populate

EN Based on the requirements, organizations use different types of ETL tools. An organization might choose an ETL category based on what they need to do with the data.

• organizations use different
• ETL tools
• organization might choose
• ETL category based

EN The ETL system is often designed to handle a specific incoming data volume. In today’s world, enterprise data is quickly growing. The ETL system may not be able to handle the increased volume of data.

• designed to handle
• growing
• able to handle

EN Automate the design and generation of ETL code as well as ongoing updates ? all while leveraging best practices

• Automate the design
• generation of ETL
• ongoing updates

EN Time-to-solution is 5‒10X faster than traditional data warehousing and ETL

• Time-to-solution is faster
• traditional data warehousing
• ETL

EN Talend: Healthy Data, Healthy Business - Modern Cloud ETL | Talend

• Talend
• Healthy Data
• Healthy Business
• Modern Cloud ETLxTalend

EN Execute simple ETL and data integration tasks, get graphical profiles of your data, and manage files  — from a locally installed, open-source environment that you control.

• Execute simple ETL
• integration tasks
• manage files
• locally installed

EN Data pipeline automation Our solution eliminates the need for manual ETL scripting with fully automated raw-to-analytics-ready data pipelines for Amazon Redshift, Amazon S3, Amazon EMR and more

• pipeline automation Our
• manual ETL scripting
• fully automated raw-to-analytics-ready
• pipelines for Amazon
• Amazon
• Amazon EMR

EN It minimizes the manual and error-prone processes of modelling and deploying data models in Google BigQuery by automating data modeling, ETL code generation and workflow

• minimizes the manual
• deploying data models
• modeling
• ETL code generation
• workflow

EN Qlik Compose? for Data Warehouses (formerly Attunity Compose) automates the design, implementation and management of data warehouses and data marts while minimizing manual, error-prone ETL coding and scripting processes

• Qlik Compose
• Warehouses
• formerly Attunity Compose
• automates the design
• implementation
• marts while minimizing
• error-prone ETL coding
• scripting processes

EN Basic understanding of Extract-Transform-Load (ETL)

• ETL

EN Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns

• Qlik Compose automates
• warehouse
• generating ETL code
• quickly applying updates
• proven design patterns

EN Automatically generate ETL to reduce time, costs and risks

• Automatically generate ETL
• costs
• risks

EN Workflow Designer and Scheduler: Run all data warehouse and data mart ETL tasks as a single, end-to-end process. Schedule the execution of workflows to align with business and IT processes.

• Workflow Designer
• Scheduler
• mart ETL tasks
• single
• end-to-end process
• Schedule the execution
• workflows to align

EN “We cut 45 days of ETL coding to 2, reduced implementation costs 80%, and accelerated DW updates to once monthly from twice annually.”

• reduced implementation costs
• accelerated DW updates

EN Migrate ETL jobs from legacy systems and shift processing to faster, cloud-based platforms for both batch and real-time processing

• Migrate ETL jobs
• legacy systems
• batch
• real-time processing

EN Data Warehouse Testing (vs ETL Testing)

• Warehouse Testing
• vs ETL Testing

EN “Now, instead of paying for and managing 23 different ETL tools, we’re moving towards managing only one by standardizing on Talend

• instead of paying
• managing different ETL
• moving towards managing
• standardizing on Talend

EN Talend Open Studio for Data Integration is free-to-download software to kickstart your first data integration and ETL projects.

• Talend Open Studio
• Integration is free-to-download
• integration
• ETL

EN Stitch gives us more time to focus on the things that matter; instead of building and maintaining custom ETL pipelines we can focus on analysis.

• matter
• instead of building
• maintaining custom ETL

EN ETL Process (extract, transform and load)

• ETL Process
• extract
• transform
• load

EN He led the delivery of an enterprise data lake that included a metadata-driven catalog and data as a service experience, Hadoop native ETL, as well as next generation reporting, analytics and artificial intelligence solutions

• enterprise data lake
• included a metadata-driven
• service experience
• Hadoop native ETL
• next generation reporting
• analytics
• artificial intelligence solutions

EN We also comply with the RoHS and REACH regulations.Our production is based on quality features and standards such as ETL, IEEE, VDE, TÜV, ISO, IEC and CE.

• REACH
• production is based
• quality features
• IEEE
• VDE
• TÜV
• ISO
• IEC

EN Qlik Compose® for Data Warehouses automates the design, implementation and management of data warehouses and data marts while minimizing manual, error-prone ETL coding and scripting processes

• Qlik
• implementation
• marts while minimizing
• error-prone ETL coding
• scripting processes

EN They are beneficial to achieve short-term goals but may become cumbersome to manage—each with its own ETL tool and logic—as business needs expand and become more complex.

• beneficial to achieve
• own ETL tool
• needs expand

EN This simplifies the ETL request process making it easier for analysts to access and navigate.

• simplifies the ETL
• analysts to access

EN To create a data mart, be sure to find an ETL tool that will allow you to connect to your existing data warehouse or other essential data sources that your business users need to draw insights from

• existing data warehouse
• essential data sources

EN Design and productivity features like automatic documentation, versioning, and operationalizing into ETL processes.

• Design
• documentation
• versioning
• operationalizing into ETL

EN Talend Open Studio allows you to create and run Java ETL programs or Jobs using predefined components.

• Talend Open Studio
• create
• run Java ETL
• Jobs using predefined

EN The Project Repository lists all project items such as Jobs (java ETL programs), Services, code, metadata, and project documentation.

• Project Repository lists
• Jobs
• java ETL programs
• code
• metadata
• project

EN The Job Designer is the main view of the studio in which components are used to create ETL jobs.

• used to create

EN Talend Studio helps creating ETL programs using a graphical user interface. These programs are called Data Integration (DI) Jobs.

• Talend Studio helps
• graphical user interface
• programs are called
• Integration
• DI

EN Understanding the ETL Architecture Framework

• Understanding the ETL
• Framework

EN ETL vs ELT: Defining the Difference

• ETL vs ELT
• Defining the Difference

EN Talend Open Studio gets you building basic data pipelines in no time. Learn how to execute simple ETL and data integration tasks from a locally installed open-source environment.

• Talend Open Studio
• simple ETL
• locally installed open-source

EN In fact, the familiar ETL (extract, load, and transform) process of moving and transforming data is in itself a kind of batch processing

• fact
• familiar ETL
• extract
• load
• transform
• process of moving
• itself a kind
• batch processing

EN Why ELT Tools Are Disrupting the ETL Market | Talend | Talend

• Why ELT Tools
• Disrupting the ETL

EN Why ELT Tools Are Disrupting the ETL Market

• Why ELT Tools
• Disrupting the ETL

EN Why ELT Tools Are Disrupting the ETL Mar…

• Why ELT Tools
• Disrupting the ETL

EN In this article we’ll clarify the differences between ETL and ELT tools, discuss how ELT tools enhance data warehouses, and indicate how ELT tools are impacting the future of data integration.

• article
• clarify the differences
• ETL
• ELT tools
• discuss how ELT
• enhance data warehouses
• indicate how ELT
• impacting the future

EN It’s helpful to think of ELT tools as an evolution of traditional ETL methods

• helpful to think
• evolution of traditional
• methods

EN ETL tools are separate platforms architected between origin systems and target systems

• platforms architected between
• systems
• target systems

EN ETL tools are dedicated platforms for the intermediate steps between extracting data and loading it into target repositories

• steps between extracting
• repositories