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Tips for organizing large interactive Zoom sessions

Insight

Photo by Chris Montgomery on Unsplash At Insight , we regularly organize and run large interactive Zoom meetings that include several back-to-back breakout sessions. Make roles explicit right at the start If you are the host, it’s important to begin the meeting with a clear introduction of who will be presenting, and in what order.

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Interact with Apache Iceberg tables using Amazon Athena and cross account fine-grained permissions using AWS Lake Formation

AWS Big Data

Data producer setup In this section, we present the steps to set up the data producer. You can highlight/select one query at a time and click “Run”/“Run again: ALTER TABLE consumer_iceberg DROP COLUMN address; SELECT * FROM consumer_iceberg; We can observe that the column address is not present in the table.

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Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

Communication: KPI reports and trackers are visual and interactive, which means that they are incredibly inclusive. In the digital age, a solid KPI tracking system is visual, interactive, customizable, and accessible via a number of mediums, including mobile and desktop.

KPI 195
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Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

From sales performance and targets through to customer acquisition costs, sales cycle, and beyond — here, we’ll present sales graphs and charts that matter to the ongoing growth of your business, in turn considering the essential question, what type of charts are used for sales? 8) Revenue And Sales Interactive Management Overview.

Sales 235
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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

But, these reports are only as useful as the work that goes into preparing and presenting them. They collect data from various departments of the company tracking key performance indicators ( KPIs ) and present them in an understandable way. Let’s dive into the best practices for preparing and presenting them.

Reporting 263
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In this post, we show you how you can convert existing data in an Amazon S3 data lake in Apache Parquet format to Apache Iceberg format to support transactions on the data using Jupyter Notebook based interactive sessions over AWS Glue 4.0. AWS Command Line Interface (AWS CLI) configured to interact with AWS Services.

Data Lake 101
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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Although these areas can also be critical areas of consideration for any data warehouse data model, in our experience, these areas present their own flavor and special needs to achieve data vault implementations at scale. There are two possible routes to create materialized views for the presentation data mart layer.