AWS Big Data

APRIL 11, 2023

In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services. Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes. The solution includes the following components.

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AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. These event changes are also routed to the same SNS topic.

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AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. An EventBridge rule receives an event notification from the AWS Glue Data Quality evaluations including the results.

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AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). QuickSight provides an ideal solution to meet these business needs.

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AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo. Let’s take an example.

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AWS Big Data

NOVEMBER 9, 2023

It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform.

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Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 The best architecture for that is called “event sourcing.” billion market by 2025.

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Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. Cloudera Data Warehouse). Large-scale high throughput analytics. Apache Hive.

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Cloudera

MARCH 14, 2023

Key requirements for building data pipelines Every data pipeline starts with a business requirement. For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets.

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AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

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datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. When teamed together with online BI tools , these rules can be key in predicting trends and reporting analytics.

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Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.

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erwin

APRIL 29, 2020

Without data lineage, these functions are irrelevant, so it makes sense for a business to have a clear understanding of where data comes from, who uses it, and how it transforms. Business terms and data policies should be implemented through standardized and documented business rules. See: The Benefits of Data Governance.

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DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

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AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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CIO Business Intelligence

OCTOBER 18, 2022

“In the old stadium, we just didn’t have the ability to get the data that we needed,” says Machelle Noel, manager of analytic systems at the Texas Rangers Baseball Club. The team can also use the data to enhance the fan experience. Now, Noel says, they want it for every game, every event, every concert.

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Cloudera

JUNE 1, 2021

Everyone from Snowflake and DataBricks to Google and Microsoft claim to have one, but the truth is that we are leading the way in the hybrid data cloud space. Integration between lifecycle analytic functions matters. The mission is to “Make data and analytics easy and accessible, for everyone.” Hybrid cloud matters.

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AWS Big Data

FEBRUARY 26, 2024

In cases where your application demands supplementary query features, such as conducting full-text searches on the data stored in a table, you may explore the utilization of alternative services like Amazon OpenSearch Service to meet these particular needs. This allows for easy access and analysis of these events.

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AWS Big Data

OCTOBER 12, 2023

Amazon EMR Serverless provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark and Apache Hive. Karthik Prabhakar is a Senior Big Data Solutions Architect for Amazon EMR at AWS.

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AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. You can examine various events from the stack creation process on the Events tab. Under Transforms , choose SQL Query.

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AWS Big Data

FEBRUARY 6, 2023

Transform the YARN job history logs from JSON to CSV After obtaining YARN logs, you run a YARN log organizer, yarn-log-organizer.py, which is a parser to transform JSON-based logs to CSV files. The parser also has other capabilities, including sorting events by time, removing dedicates, and merging multiple logs.

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Dashboards Optimization Data Lake Cost-Benefit 76

Sisense

AUGUST 28, 2020

The former allows us to control the data before it is generated, and the latter allows us to identify if there is an issue with our data that would impact its availability, completeness, or accuracy. Process-driven data integrity: Getting data generation right. Cleaning up data that doesn’t meet data integrity standards.

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IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

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AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

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CIO Business Intelligence

JUNE 13, 2022

Angel-Johnson says she, too, has a heightened level of concern around security issues and more specifically data protection. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Indeed, the 2022 CIO Leadership Perspectives study from Evanta found that the No.

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AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Key considerations Gameskraft embraces a modern data architecture, with the data lake residing in Amazon S3.

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CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

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CIO Business Intelligence

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

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AWS Big Data

JANUARY 17, 2024

His expertise lies in assisting customers with migrating intricate enterprise systems and databases to AWS, constructing enterprise data warehousing and data lake platforms. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

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Peter James Thomas

OCTOBER 30, 2018

It may well be that one thing that a CDO needs to get going is a data transformation programme. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. Establishing a regular Data Audit. Now Dogs Trust.

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AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

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DataKitchen

OCTOBER 25, 2022

Its goal is to provide visibility of every journey that data takes from source to customer value across every tool, environment, data store, data and analytic team, and customer so that problems are detected, localized and raised immediately. A data journey spans and tracks multiple pipelines.

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AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

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AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

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Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

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AWS Big Data

SEPTEMBER 6, 2023

Stored procedures are commonly used to encapsulate logic for data transformation, data validation, and business-specific logic. It inserts a record in the procedure_log table in the event of an exception. It also has an EXCEPTION block and inserts a record in the procedure_log table in the event of an exception.

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AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Finally, data integrity is of paramount importance. For users that require a unified view of software quality, this is unacceptable.

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