Remove 2022 Remove Data Analytics Remove Data Lake Remove Data Warehouse
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What I Learned At Gartner Data & Analytics 2022

Timo Elliott

First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business. And the best way to do that is to embed data, analytics, and decisions into business workflows.

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Australia’s IT leadership moves 2022

CIO Business Intelligence

Here’s an update on the moves of Australian IT leaders starting from June 2022. Kuret replaces Scott Wall who after four years with BankVic joined Bank Australia as chief transformation officer in June 2022. CIO Australia consistently tracks the moves of IT leaders. Simon Herbert departs from NSW Customer Service. IT Leadership

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

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

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

AWS Big Data

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Apache Iceberg integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. Starting with Amazon EMR version 6.5.0,

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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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

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. options(**additional_options).mode("append").save(s3_output_folder)