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Bionic Eye, Disease Control, Time Crystal Research Powered by IO500 Top Storage Systems

CIO Business Intelligence

Dell’s updated PowerStore offering aims to deliver up to a 50% mixed-workload performance boost and up to 66% greater capacity, based on internal tests conducted in March 2022. . All storage solution updates will become globally available in the third quarter of 2022. Intel® Technologies Move Analytics Forward.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. And that data is likely in clouds, in data centers and at the edge.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. The snapshot points to the manifest list.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

billion connected IoT devices by 2025, generating almost 80 billion zettabytes of data at the edge. In addition, IDC projections show worldwide spending on edge computing reaching $176 billion in 2022, an increase of 14.8% IDC estimates that there will be 55.7 over last year.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

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”)

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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

Originally published on December 9th, 2022. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Choose the Maintenance Select a snapshot and choose Restore snapshot , Restore to provisioned cluster. See the required steps as below.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). Clustering data for better data colocation using z-ordering. Considerations Data skipping using metadata column stats has to be supported in the query engine (currently only in Apache Spark).

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