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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

data = [(1, "1899-12-31 23:59:59"), (2, "1900-01-01 00:00:00")] schema = StructType([ StructField("id", IntegerType(), True), StructField("timestamp", TimestampType(), True) ]) df = spark.createDataFrame(data, schema=schema) df.write.mode("overwrite").parquet("path/to/parquet_file") For example, in Spark 3.2, In Spark 3.1 In Spark 3.0,

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

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Data Teams and Their Types of Data Journeys

DataKitchen

This comprehensive article delves into the complexities encountered by various types of data teams—Data Ingestion Teams, End-to-End Data Product Teams, and Enterprise Data Enablement Teams—to name a few. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Analytics is changing. How are you keeping pace?

CIO Business Intelligence

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

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