AWS Big Data
APRIL 6, 2023
Use the reindex API operation The _reindex operation snapshots the index at the beginning of its run and performs processing on a snapshot to minimize impact on the source index. The source index can still be used for querying and processing the data. Mikhail specializes in data analytics services.
AWS Big Data
DECEMBER 13, 2023
Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
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AWS Big Data
FEBRUARY 9, 2023
With scheduled flows, you can choose either full or incremental data transfer: With full transfer, Amazon AppFlow transfers a snapshot of all records at the time of the flow run from the source to the destination. He’s on a mission to make life easier for customers who are facing complex data integration challenges.
AWS Big Data
MAY 30, 2023
resource(“dynamodb”) table = dynamodb.Table(dydb_lookup_table) response = table.scan() items = response[“Items”] jsondata = sc.parallelize(items) lookupDf = glueContext.read.json(jsondata) return lookupDf # Load the Amazon Kinesis data stream from Amazon Glue Data Catalog. def readDynamoDb(): dynamodb = boto3.resource(“dynamodb”)
DataKitchen
MAY 10, 2021
That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.
AWS Big Data
JULY 20, 2023
Using Apache Iceberg’s compaction results in significant performance improvements, especially for large tables, making a noticeable difference in query performance between compacted and uncompacted data. These files are then reconciled with the remaining data during read time.
AWS Big Data
MARCH 3, 2023
Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.
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