AWS Big Data

JULY 26, 2023

To tackle these asks, this post defines the development lifecycle for data integration and demonstrates how software engineers and data engineers can design an end-to-end development lifecycle using AWS Glue, including development, testing, and CI/CD, using a sample baseline template.

Data Integration 74

Data Integration Snapshot Testing Visualization 74

IBM Big Data Hub

JUNE 15, 2023

watsonx.data is truly open and interoperable The solution leverages not just open-source technologies, but those with open-source project governance and diverse communities of users and contributors, like Apache Iceberg and Presto, hosted by the Linux Foundation. This provides further opportunities for cost optimization.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

AWS Big Data

OCTOBER 18, 2023

host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password') username') echo -e "n host: $HOST_NAMEn DB: $DB_NAMEn passowrd: $PASSWORDn username: $USER_NAMEn" After connected through Session Manager, query the Hive metastore from your Amazon EMR master node.

Big Data 82

Big Data Data Processing Interactive Testing 82

Alation

JULY 18, 2022

Through this partnership, Alation will help to scale governance policies for the lakehouse and foster data democratization for all users, so people can easily find and understand projects from the lakehouse and beyond. The Power of Partnership to Accelerate Data Transformation. A Giant Partnership and a Giants Game.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jet Global

AUGUST 24, 2023

This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation. Simplify Data Integration: Angles for Oracle offers data transformation and cleansing features that allow finance teams to clean, standardize, and format data as needed.

Finance 52

Finance Reporting Data Integration Risk 52

AWS Big Data

APRIL 25, 2023

Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. 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. Let’s take an example.

Sales 74

Sales Visualization Software Marketing 74

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 96

Analytics IoT Metadata Internet of Things 96

AWS Big Data

MARCH 9, 2023

He started his career as an embedded software engineer developing handheld devices. The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status. is onMessage , which returns information about specific events within an embedded experience.

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

AWS Big Data

JANUARY 27, 2023

The Amazon EMR Flink CDC connector reads the binlog data and processes the data. Transformed data can be stored in Amazon S3. We use the AWS Glue Data Catalog to store the metadata such as table schema and table location. the Flink table API/SQL can integrate with the AWS Glue Data Catalog.

Data Lake 63

Data Lake Metadata Business Analysis Data-driven 63

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Our approach to an open data lakehouse architecture combines the best of IBM with the best of open source.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. These capabilities are to be made available inside the applications people use every day.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

JULY 20, 2023

The system ingests data from various sources such as cloud resources, cloud activity logs, and API access logs, and processes billions of messages, resulting in terabytes of data daily. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 89

Data Lake Analytics Snapshot Optimization 89