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.

Data Analytics 99

Data Analytics Analytics IoT Data Lake 99

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 107

Data Warehouse Analytics Testing Modeling 107

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Forecasting 142

Forecasting Manufacturing Data Lake Big Data 142

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Transforming data into value What is a data scientist?

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Factory. Azure Data Explorer. Azure Synapse Analytics. Azure Databricks.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

NOVEMBER 22, 2024

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session. She is passionate about data analytics and data science.

Data Warehouse 104

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 104

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Generated jobs can use a variety of data transformations, including filter, project, union, join, and custom user-supplied SQL. In his spare time, he enjoys cycling with his road bike.

Data Integration 127

Data Integration Data Lake Data Warehouse Software 127

AWS Big Data

JULY 10, 2024

This allows data analysts and data scientists to rapidly construct the necessary data preparation steps to meet their business needs. We use the new data preparation authoring capabilities to create recipes that meet our specific business needs for data transformations.

Interactive 115

Interactive Visualization Data Integration Statistics 115

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

AUGUST 19, 2024

Using AWS Glue transformations is crucial when creating an AWS Glue job because they enable efficient data cleansing, enrichment, and restructuring, making sure the data is in the desired format and quality for downstream processes. 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

In this blog post, we explore how to use the SFTP Connector for AWS Glue from the AWS Marketplace to efficiently process data from Secure File Transfer Protocol (SFTP) servers into Amazon Simple Storage Service (Amazon S3) , further empowering your data analytics and insights. Select Visual ETL in the central pane.

Data Processing 112

Data Processing Visualization Data Lake Data Processing 112

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. The support to run Spark SQL through the StartJobRun API in EMR on EKS has further enabled FINRA’s innovation in data analytics.

Big Data 104

Big Data Data Processing Interactive Testing 104

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

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.

Management 98

Management Data Warehouse Digital Transformation Dashboards 98

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 110

Metadata Data Lake Visualization Data Quality 110

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. Besides work, he enjoys spending time with family, hiking & mountain biking.

Data Lake 98

Data Lake Metrics Testing Cost-Benefit 98

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 122

Analytics Visualization Data Integration Cost-Benefit 122

AWS Big Data

DECEMBER 5, 2023

For files with known structures, a Redshift stored procedure is used, which takes the file location and table name as parameters and runs a COPY command to load the raw data into corresponding Redshift tables. We encourage you to explore Redshift Serverless with CARTO for analyzing spatial data and let us know your experience in the comments.

Measurement 104

Measurement Dashboards Data Warehouse Analytics 104

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

AWS Big Data

MAY 3, 2023

The key requirements for SOCAR included achieving maximum performance for real-time data analytics, which required storing data in an in-memory data store. After careful consideration, ElastiCache for Redis was selected as the optimal solution due to its ability to handle complex data aggregation rules with ease.

IoT 111

IoT Internet of Things Data Transformation Management 111

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. Data pipeline dbt, an open-source tool, can be installed in the AWS environment and set up to work with Amazon MWAA.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

AWS Big Data

AUGUST 9, 2024

With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. We removed the DC2 cluster and completed the migration.

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

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

OCTOBER 11, 2023

The lift and shift migration approach is limited in its ability to transform businesses because it relies on outdated, legacy technologies and architectures that limit flexibility and slow down productivity. Devika Singh is a Senior Data Engineer at Amazon, with deep understanding of AWS services, architecture, and cloud-based best practices.

Management 129

Management Metadata Analytics Dashboards 129

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. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

Data Quality 95

Data Quality Metrics Data-driven Visualization 95

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.

Visualization 119

Visualization Dashboards Data-driven Gap analysis 119

AWS Big Data

APRIL 11, 2023

ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second. In the inventory management and forecasting solution, AWS Glue is recommended for data transformation.

Forecasting 96

Forecasting Management IoT Data-driven 96

AWS Big Data

SEPTEMBER 13, 2024

If you’re looking to streamline your data analytics workflow, simplify cross-account data sharing, and reduce operational overhead, consider using Lake Formation and EMR Serverless in your organization. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Interactive 102

Interactive Strategy Cost-Benefit Data Governance 102

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 110

Metadata Marketing Analytics Data Transformation 110

AWS Big Data

NOVEMBER 13, 2023

The downstream consumers consist of business intelligence (BI) tools, with multiple data science and data analytics teams having their own WLM queues with appropriate priority values. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

AWS Big Data

DECEMBER 21, 2023

Conclusion The integration of AWS Glue with OpenSearch Service adds the powerful ability to perform data transformation when integrating with OpenSearch Service for analytics use cases. This enables organizations to streamline data integration and analytics with OpenSearch Service.

Analytics 111

Analytics IT Data Lake Visualization 111

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches.

Analytics 121

Analytics IoT Metadata Internet of Things 121

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Analytics and intelligence for business users and user adoption.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40