Data Management: Page

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    Expert Advice

    Why businesses should know the importance of data quality

    Data quality, building data trust and identifying bias are critical for organizations to confidently make decisions based on the data they collect.

    By Maria Korolov • April 13, 2022
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    Arcion brings change data capture platform to the cloud

    Getting data out of one system and into another in the right format as quickly as possible is a challenge the Arcion Cloud service is aiming to address for organizations.

    By • April 12, 2022
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    Monte Carlo introduces Circuit Breakers for data pipelines

    In an effort to help improve data workflow reliability, Monte Carlo is rolling out a new feature that can help organizations stop inaccurate data flows from affecting operations.

    By • April 8, 2022
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    5 key elements of data tenancy

    Data tenancy is a key piece of any data protection scheme and can be crafted around five building blocks to provide safe, secure data access to users.

    By • April 7, 2022
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    NetApp acquires Instaclustr for database as a service

    Instaclustr is being acquired by NetApp in a bid to the help the vendor grow beyond its on-premises storage roots into the bustling market for cloud software as a service.

    By • April 7, 2022
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    Google grows cloud capabilities with BigLake data lakehouse

    Google is continuing to build out its cloud data services with a new approach that will serve as a central cloud service for unifying data across different clouds and formats.

    By • April 6, 2022
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    MongoDB 5.3 enhances time series data capabilities

    MongoDB is continuing to grow its multimodel database capabilities, adding the ability to help users with gap filling for missing data sets, in the new 5.3 release.

    By • April 6, 2022
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    Databricks enables Delta Live Tables in data lakehouse

    Databricks is looking to make it easier for users to build data pipelines to extract, transform and load data from any source using a Spark SQL data query.

    By • April 5, 2022
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    Redpanda expands event data streaming with more visibility

    Alex Gallego, founder and CEO of Redpanda, discusses why his company acquired Kafka user interface vendor CloudHut, as organizations deal with the challenges of real-time data.

    By • April 5, 2022
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    Swim Continuum advances event streaming data intelligence

    The vendor is continuing to build out its technology aimed at enabling organizations to build applications that use real-time data to improve operations.

    By • March 31, 2022
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    Oracle HeatWave ML fuses machine learning with database

    The tech giant is continuing to build out the capabilities of its MySQL HeatWave cloud database with real-time elasticity, performance boosts and machine learning integration.

    By • March 29, 2022
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    Pinecone raises $28M to advance vector database

    The startup's database technology enables enterprises to use traditional data stores alongside vector-based data to support advanced data queries and search.

    By • March 29, 2022
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    Who manages data lakes and what skills are needed?

    Data engineers, data scientists and chief data officers are just some of the people who have the skills to manage data lakes.

    By • March 25, 2022
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    DataStax Astra DB integrates real-time data streaming

    The database-as-a-service vendor advanced the change data capture capabilities of its cloud database with technology from its Apache Pulsar-based streaming service.

    By • March 24, 2022
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    PlanetScale eases serverless database schema migration

    The database-as-a-service platform vendor looks to make it easier for developers to build data-driven applications and revert schema changes when needed.

    By • March 24, 2022
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    StarTree brings Apache Pinot real-time database to the cloud

    The open source Apache Pinot OLAP data store is set to become easier to deploy, manage and operate in the cloud with improved data ingestion and data observability capabilities.

    By • March 22, 2022
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    Snowflake brings data cloud to healthcare and life sciences

    Snowflake is continuing to build out its industry vertical platform offerings, helping users in different market segments collect, share and analyze data.

    By • March 17, 2022
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    Jitsuin rebrands as RKVST for blockchain data assurance

    The RKVST platform supports multiple types of blockchain data applications, including secured SBOM data sharing for cybersecurity.

    By • March 17, 2022
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    Expert Advice

    10 key elements to follow data compliance regulations

    Data privacy laws are changing around the world on a constant basis. These 10 elements can help keep organizations up to speed with data compliance regulations.

    By • March 16, 2022
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    Oracle Multi-VM Autonomous Database lands on Exadata systems

    The tech giant now enables users of the Exadata Cloud at Customer service to run multiple types of the vendor's fully managed and unmanaged databases on the same hardware.

    By • March 16, 2022
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    Redis launches JSON database capabilities with RedisJSON 2.0

    The data platform vendor is growing beyond its data caching roots to support more data types and full database capabilities that integrate with RediSearch indexing technology.

    By • March 15, 2022
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    Fauna brings real-time streaming to serverless database

    The ability to directly subscribe to real-time updates is the latest feature for the Fauna database that can help developers quickly bring data to applications.

    By • March 15, 2022
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    Instaclustr to support Karapace open source schema registry

    Instaclustr is joining rival Aiven in an effort to support an open source technology that brings REST proxy and schema technology to Kafka event streaming.

    By • March 11, 2022
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    Bookshelf

    New approaches create opportunity to turn data into value

    Bill Schmarzo, a data science industry thought leader, discusses how organizations can reframe their view of data using economic concepts to turn data into value.

    By Peter Spotts, Packt Publishing • March 9, 2022
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    Databricks extends data lakehouse platform to healthcare

    Healthcare data exists in widely varying formats. Getting it into a data lake where it can be used for analytics and machine learning is a challenge Databricks is looking to meet.

    By • March 9, 2022