AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. Refer to Editing AWS Glue managed data transform nodes for more information.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

AWS Big Data

AUGUST 13, 2024

Access to an SFTP server with permissions to upload and download data. If the SFTP server is hosted on Amazon Elastic Compute Cloud (Amazon EC2) , we recommend that the network communication between the SFTP server and the AWS Glue job happens within the virtual private cloud (VPC) as pictured in the preceding architecture diagram.

Data Processing 113

Data Processing Visualization Data Lake Data Processing 113

AWS Big Data

OCTOBER 18, 2023

To run HiveQL-based data workloads with Spark on Kubernetes mode, engineers must embed their SQL queries into programmatic code such as PySpark, which requires additional effort to manually change code. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 104

Big Data Data Processing Interactive Testing 104

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 111

Metadata Data Lake Visualization Data Quality 111

AWS Big Data

OCTOBER 31, 2023

To create the connection string, the Snowflake host and account name is required. Using the worksheet, run the following SQL commands to find the host and account name. The account, host, user, password, and warehouse can differ based on your setup. Choose Next. For Secret name , enter airflow/connections/snowflake_accountadmin.

Data Processing 111

Data Processing Management Publishing Visualization 111

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. This ensures that the data is suitable for training purposes.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

IBM Big Data Hub

JANUARY 9, 2024

Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues. The groundwork of training data in an AI model is comparable to piloting an airplane. ELT tools such as IBM® DataStage® facilitate fast and secure transformations through parallel processing engines.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring. Platform architects define a well-architected platform.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

JULY 26, 2023

Solution overview Typically, you have multiple accounts to manage and provision resources for your data pipeline. Every time the business requirement changes (such as adding data sources or changing data transformation logic), you make changes on the AWS Glue app stack and re-provision the stack to reflect your changes.

Data Integration 95

Data Integration Snapshot Testing Visualization 95

AWS Big Data

AUGUST 26, 2024

Solution overview The following diagram illustrates the solution architecture: The solution uses AWS Glue as an ETL engine to extract data from the source Amazon RDS database. Built-in data transformations then scrub columns containing PII using pre-defined masking functions. See JDBC connections for further details.

Visualization 115

Visualization Metadata Data Transformation Testing 115

AWS Big Data

SEPTEMBER 13, 2024

Although we explored the option of using AWS managed notebooks to streamline the provisioning process, we have decided to continue hosting these components on our on-premises infrastructure for the current timeline. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Interactive 103

Interactive Strategy Cost-Benefit Data Governance 103

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 130

Management Metadata Analytics Dashboards 130

Alation

FEBRUARY 20, 2020

REFLECTIONS FROM THE GARTNER BI & ANALYTICS SUMMIT I hate to admit that the last time I attended the Gartner BI & Analytics Summit, Howard Dresner was still the host. Alation helps analysts find, understand and use their data. Everything you need to do to prepare for analysis before data transformation and visualization.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

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 121

Analytics IoT Metadata Internet of Things 121

AWS Big Data

MARCH 9, 2023

The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status. append('Unable to load Dashboard at this time.'); break; } } } } Monitor interactions in embedded dashboards Another callback supported by SDK v2.0

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

AWS Big Data

JULY 25, 2023

For Host , enter the Redshift Serverless endpoint’s host URL. As well as Talend Cloud for enterprise-level data transformation needs, you could also use Talend Stitch to handle data ingestion and data replication to Redshift Serverless. For Host , enter the Redshift Serverless endpoint’s host URL.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

Alation

JANUARY 17, 2023

Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

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. Let’s take an example. The marketing team created leads based on the event in Adobe Marketo.

Sales 94

Sales Visualization Software Metadata 94

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery.

Dashboards 83

Dashboards Testing Metrics Optimization 83

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 59

Cost-Benefit Informatics Optimization Management 59

IBM Big Data Hub

JULY 17, 2023

It uses not just open-source technologies, but those with open governance and broad and diverse communities of users and contributors, like Apache Iceberg and Presto which is hosted by the Linux Foundation.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

OCTOBER 30, 2024

In the Driver Properties section, enter the parameters that you captured from Amazon DataZone: CredentialsProvider : The credentials provider to authenticate requests to AWS DataZoneDomainId : The ID of your Amazon DataZone domain DataZoneDomainRegion : The AWS Region where your domain is hosted. Lionel Pulickal is Sr.

Visualization 119

Visualization Data Lake Testing Data Governance 119

AWS Big Data

DECEMBER 4, 2024

By treating the data as a product, the outcome is a reusable asset that outlives a project and meets the needs of the enterprise consumer. Consumer feedback and demand drives creation and maintenance of the data product.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Cloudera

NOVEMBER 22, 2021

In addition, more data is becoming available for processing / enrichment of existing and new use cases e.g., recently we have experienced a rapid growth in data collection at the edge and an increase in availability of frameworks for processing that data. As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

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 82

Data Lake Metadata Business Analysis Data-driven 82

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.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

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 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

JANUARY 29, 2025

Amazon EMR has long been the leading solution for processing big data in the cloud. Amazon EMR is the industry-leading big data solution for petabyte-scale data processing, interactive analytics, and machine learning using over 20 open source frameworks such as Apache Hadoop , Hive, and Apache Spark.

Big Data 85

Big Data Data Analytics Analytics Interactive 85

AWS Big Data

FEBRUARY 25, 2025

Amazon EC2 to host and run a Jenkins build server. Solution walkthrough The solution architecture is shown in the preceding figure and includes: Continuous integration and delivery ( CI/CD) for data processing Data engineers can define the underlying data processing job within a JSON template.

Data Processing 54

Data Processing Machine Learning Data-driven Cost-Benefit 54

Jet Global

MAY 1, 2023

Ideally, your primary data source should belong in this group. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52