Remove 2023 Remove Data Silos Remove Data Warehouse
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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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dbt Labs’ Coalesce 2023 Recap

phData

Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation. In mid-2023, many companies were wrangling with more than 5,000 dbt models. Figure 5: dbt Cloud CLI.

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Data Integrity vs. Data Quality: How Are They Different?

Precisely

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

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How to Ingest Salesforce Data into Snowflake Using Salesforce Sync Out

phData

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. Warehouse for loading the data (start with XSMALL or SMALL warehouses).

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Unlocking financial benefits through data monetization

IBM Journey to AI blog

In 2023, the global data monetization market was valued at USD 3.5 Figure 2: The data product lifecycle The banking industry, for example, faces the following challenges: Competition from agile and innovative financial technology and challenger banks. Organizational data silos that impede a unified customer experience.