Extract, transform, load

RudderStack Advances Their Warehouse-First Approach with New Features, Cloud Extract and Warehouse Actions

Retrieved on: 
Tuesday, January 26, 2021
Data management, Online Retail, Technology, Marketing, Advertising, Communications, Other Technology, Search engine marketing, Retail, Software, Internet, Computing, Information technology, Data management, Business intelligence, Technology, Data warehouse, Information technology management, Salesforce, Touchpoint, Cloud computing, Extract, transform, load

RudderStack, the smart customer data pipeline, announced the launch of two new features today, Cloud Extract and Warehouse Actions.

Key Points: 
  • RudderStack, the smart customer data pipeline, announced the launch of two new features today, Cloud Extract and Warehouse Actions.
  • Its still challenging to capture the non-event customer data locked into cloud applications, like Salesforce and ZenDesk, and correlate it with event data.
  • It makes it easy for data engineers to build ELT pipelines from cloud applications to their data warehouse, letting them aggregate all of their customer data in their warehouse, from customer event data generated by digital touchpoints to non-event customer data from different cloud applications.
  • A lot of what we want to do in the future will involve getting data out of the warehouse with Warehouse Actions.

Datameer Spotlight disrupts the traditional centralized data warehouse model, giving organizations highly secure data access at a fraction of the cost

Retrieved on: 
Tuesday, December 1, 2020
Data management, Information, Computing, Data lake, Data warehouse, Extract, transform, load, Cloud analytics

Today's approach to leveraging data for analytics has remained largely unchanged for almost three decades: Organizations pipe all enterprise data into a centralized data warehouse or data lake in what is an expensive, time-consuming process.

Key Points: 
  • Today's approach to leveraging data for analytics has remained largely unchanged for almost three decades: Organizations pipe all enterprise data into a centralized data warehouse or data lake in what is an expensive, time-consuming process.
  • Whether on-premises or in the cloud, data replication requires storage, tools, and highly-skilled, highly-specialized data engineers to code and maintain complex ETL scripts.
  • Unfortunately, demand for data engineers has grown 50%, and salaries have increased by 10% year over year, according to Dice.
  • Cost: with no need for ETL tools, a central data warehouse, data cataloging, a data prep tool, data engineering, or middle man between the data and the end-user, the solution ends up at a fraction of the cost of traditional approaches.

Worldwide Data Extraction Industry to 2027 - Emerging Trend of Adopting Virtual Data Warehousing Presents Opportunities - ResearchAndMarkets.com

Retrieved on: 
Wednesday, November 18, 2020
Technology, Data management, Data management, Information, Computing, Data warehousing, Data extraction, Data warehouse, Extract, transform, load, Big data

Data extraction is the process of extracting data from various different data sources to transform the data and to gain meaning full insights from the data.

Key Points: 
  • Data extraction is the process of extracting data from various different data sources to transform the data and to gain meaning full insights from the data.
  • In addition, data extraction software helps organizations to extract data from various different structured and unstructured data sources and stores it in data warehouse.
  • Furthermore, growth in adoption of AI in data extraction and emerging trends of adopting virtual data warehousing are anticipated to provide lucrative opportunities for the market expansion during the forecast period.
  • The global data extraction market is segmented on the basis of component, data type, deployment model, enterprise size, industry vertical, and region.

TigerGraph Named a Graph Data Platform Leader by Independent Research Firm

Retrieved on: 
Monday, November 16, 2020
Graph database, Database, Extract, transform, load, Graph databases

REDWOOD CITY, Calif., Nov. 16, 2020 (GLOBE NEWSWIRE) -- TigerGraph , the only scalable graph databasefor the enterprise, today announced that it has been recognized as a Leader by Forrester Research in The Forrester Wave: Graph Data Platforms, Q4 2020 report.

Key Points: 
  • REDWOOD CITY, Calif., Nov. 16, 2020 (GLOBE NEWSWIRE) -- TigerGraph , the only scalable graph databasefor the enterprise, today announced that it has been recognized as a Leader by Forrester Research in The Forrester Wave: Graph Data Platforms, Q4 2020 report.
  • TigerGraph scored five out of five in the following criteria: API/extensibility, data loading/ingestion, transactions, queries/search, scalability, performance, and workloads.
  • While collecting data from sources is often straightforward, enterprises struggle to connect data to create meaningful insights quickly, according to The Forrester Wave: Graph Data Platforms, Q4 2020 report.
  • Vendor inclusion requirements included: an enterprise-class graph data platform offering, a standalone graph data platform, a publicly available release, a referenceable install base and customer interest.

Quantum Significantly Expands Portfolio to Classify, Manage and Protect Unstructured Data Across its Lifecycle

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Tuesday, November 10, 2020
Computing, Data management, Information, Computer data storage, Object storage, Data model, Extract, transform, load, Quantum Corporation

Quantum ActiveScale Object Storage Quantum expands its ActiveScale line with a smaller capacity three node object storage system, along with new features such as object lock to protect critical data.

Key Points: 
  • Quantum ActiveScale Object Storage Quantum expands its ActiveScale line with a smaller capacity three node object storage system, along with new features such as object lock to protect critical data.
  • Accelerated data growth, lack of visibility and control over data, and more data movement are contributing to organizations' challenges of managing unstructured data sprawl and harnessing the value that is in this unstructured data.
  • By managing data across its lifecycle, Quantum is empowering customers to navigate the new data landscape and manage data and storage for greater productivity and efficiency.
  • The company will showcase the latest offerings to capture, store, manage, protect, and archive unstructured data in all its forms.

StorCentric Launches Cloud-Enabled Data Mobility Suite (DMS) Software Platform

Retrieved on: 
Tuesday, October 27, 2020
Data management, Data migration, Replication, Extract, transform, load, Computing, Information technology management, Information

SUNNYVALE, Calif., Oct. 27, 2020 /PRNewswire-PRWeb/ -- StorCentric , a global provider of world-class and award-winning data management solutions, today announced the general availability launch of its Data Mobility Suite (DMS), the first StorCentric branded software solution.

Key Points: 
  • SUNNYVALE, Calif., Oct. 27, 2020 /PRNewswire-PRWeb/ -- StorCentric , a global provider of world-class and award-winning data management solutions, today announced the general availability launch of its Data Mobility Suite (DMS), the first StorCentric branded software solution.
  • The new all-inclusive software solution enables seamless data migration, data replication, and data synchronization across heterogeneous, mixed media storage deployments including disk, tape, and cloud.
  • "This also means that data strategies have to adapt, and StorCentric's Data Mobility Suite will help organizations stay in control of their data, wherever it resides, today, tomorrow, and into the future."
  • StorCentric Data Mobility Suite (DMS) Features and Functionality:
    Data Migration DMS streamlines point-to-point data movement and tackles data flow requirements from any storage platform to another.

Matillion Data Loader Now Available in Snowflake's Partner Connect

Retrieved on: 
Tuesday, August 11, 2020
Data management, Computing, Information, Data warehousing, Extract, transform, load, Data integration, Google Analytics, Information technology management, IBM Db2 Family, Sqlstream

Matillion Data Loader enables companies to easily load data into Snowflake from popular data sources including Microsoft SQL Server, Salesforce, Google Analytics, Marketo, and more.

Key Points: 
  • Matillion Data Loader enables companies to easily load data into Snowflake from popular data sources including Microsoft SQL Server, Salesforce, Google Analytics, Marketo, and more.
  • Matillion Data Loader works by itself as a lightweight solution to load data and works with Matillion ETL as a platform to join and transform data sources for analytics.
  • Both Matillion products are available in Snowflake Partner Connect to empower enterprises with a data integration platform that can handle diverse needs, from simple data loading to complex data transformations.
  • Matillion Data Loader enables data analysts and data-savvy business professionals to easily integrate and access the data they need to perform analytics, improve data availability, and fuel business growth.

Matillion Data Loader Now Available in Snowflake's Partner Connect

Retrieved on: 
Tuesday, August 11, 2020
Data management, Computing, Information, Data warehousing, Extract, transform, load, Data integration, Google Analytics, Information technology management, IBM Db2 Family, Sqlstream

Matillion Data Loader enables companies to easily load data into Snowflake from popular data sources including Microsoft SQL Server, Salesforce, Google Analytics, Marketo, and more.

Key Points: 
  • Matillion Data Loader enables companies to easily load data into Snowflake from popular data sources including Microsoft SQL Server, Salesforce, Google Analytics, Marketo, and more.
  • Matillion Data Loader works by itself as a lightweight solution to load data and works with Matillion ETL as a platform to join and transform data sources for analytics.
  • Both Matillion products are available in Snowflake Partner Connect to empower enterprises with a data integration platform that can handle diverse needs, from simple data loading to complex data transformations.
  • Matillion Data Loader enables data analysts and data-savvy business professionals to easily integrate and access the data they need to perform analytics, improve data availability, and fuel business growth.

Matillion Exchange Enables Faster Data Innovation With Community Contributed Pre-Built ETL Workflows

Retrieved on: 
Tuesday, July 7, 2020
Data warehousing, ETL, Extract, transform, load, Spatial ETL

On Matillion Exchange, users can download and reuse helpful ETL workflows to load and transform their business-critical data, created by the Matillion ecosystem of data professionals, including recognized Matillion partners , to expedite the ETL development process.

Key Points: 
  • On Matillion Exchange, users can download and reuse helpful ETL workflows to load and transform their business-critical data, created by the Matillion ecosystem of data professionals, including recognized Matillion partners , to expedite the ETL development process.
  • Unlike third-party platforms, Matillion Exchange provides user-generated, proven ETL solutions in the form of Shared Jobs .
  • For customers looking to solve for bespoke business requirements, Matillion Exchange offers a wide variety of ETL workflows that can be modified to meet their specific needs.
  • For Matillion ETL customers looking to further collaborate and discuss ETL, ELT, and data transformation best practices, they can also sign up for the new Matillion ETL Community .

Matillion Exchange Enables Faster Data Innovation With Community Contributed Pre-Built ETL Workflows

Retrieved on: 
Tuesday, July 7, 2020
Data warehousing, ETL, Extract, transform, load, Spatial ETL

On Matillion Exchange, users can download and reuse helpful ETL workflows to load and transform their business-critical data, created by the Matillion ecosystem of data professionals, including recognized Matillion partners , to expedite the ETL development process.

Key Points: 
  • On Matillion Exchange, users can download and reuse helpful ETL workflows to load and transform their business-critical data, created by the Matillion ecosystem of data professionals, including recognized Matillion partners , to expedite the ETL development process.
  • Unlike third-party platforms, Matillion Exchange provides user-generated, proven ETL solutions in the form of Shared Jobs .
  • For customers looking to solve for bespoke business requirements, Matillion Exchange offers a wide variety of ETL workflows that can be modified to meet their specific needs.
  • For Matillion ETL customers looking to further collaborate and discuss ETL, ELT, and data transformation best practices, they can also sign up for the new Matillion ETL Community .