AWS Big Data

MARCH 12, 2024

We share our benchmarking results and methodology, and insights into the cost-effectiveness of EMR Serverless vs. fixed capacity Amazon EMR on EC2 transient clusters on our data workflows orchestrated using Amazon Managed Workflows for Apache Airflow (Amazon MWAA). PB of data from its data center to EMR on EC2.

Cost-Benefit 91

Cost-Benefit Optimization Big Data Metrics 91

AWS Big Data

MARCH 6, 2024

Part 1 of this two-part series described how to build a pseudonymization service that converts plain text data attributes into a pseudonym or vice versa. A centralized pseudonymization service provides a unique and universally recognized architecture for generating pseudonyms.

Metrics 92

Metrics Statistics Testing Data Lake 92

AWS Big Data

OCTOBER 30, 2023

Spark on AWS Lambda (SoAL) is a framework that runs Apache Spark workloads on AWS Lambda. It’s designed for both batch and event-based workloads, handling data payload sizes from 10 KB to 400 MB. SoAL architecture The SoAL framework provides local mode and containerized Apache Spark running on Lambda.

Cost-Benefit 119

Cost-Benefit Enterprise Data Processing Optimization 119

Smart Data Collective

APRIL 15, 2020

Big data is streamlining the web design process. Companies have started leveraging big data tools to create higher quality designs, personalize content and ensure their websites are resilient against cyberattacks. Last summer, Big Data Analytics News discussed the benefits of using big data in web design.

Big Data 96

Big Data Machine Learning Cost-Benefit Advertising 96

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Using Spark SQL to run Hive workloads provides not only the simplicity of SQL-like queries but also taps into the exceptional speed and performance provided by Spark. Apache Spark has supported queries written in HiveQL.

Big Data 79

Big Data Data Processing Interactive Testing 79

AWS Big Data

DECEMBER 20, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. For more information about cost-saving best practices, refer to Monitor and optimize cost on AWS Glue for Apache Spark.

Cost-Benefit 96

Cost-Benefit Optimization Big Data Data Integration 96

AWS Big Data

NOVEMBER 20, 2023

In AWS, hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, combine, and prepare data for analytics and machine learning. When you have complex datasets and demanding Apache Spark workloads, you may experience performance bottlenecks or errors during Spark job runs.

Visualization 84

Visualization Optimization Data Lake Management 84

AWS Big Data

APRIL 25, 2024

Partitioning isn’t suitable for such high cardinality columns because you end up with small files, slow partition filtering, and high Amazon Simple Storage Service (Amazon S3) API cost (one S3 prefix is created per value of partition column). Data analysts run one-time queries for data during the past 5 years through Athena.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

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. The integration between AWS Step Functions and Amazon EMR Serverless makes it easier to manage and orchestrate big data workflows.

Big Data 105

Big Data Data-driven Management Visualization 105

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. billion allocated for data center systems and $90.2 billion for IT services.

Big Data 75

Big Data Software Data mining Prescriptive Analytics 75

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. If you are interested in Hudi table format, navigate to Working with Apache Hudi tables section.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

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 12, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. times faster than OSS Spark v3.1.2

Testing 73

Testing Big Data Metadata Optimization 73

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. This applies to both integration with AWS services and with third-party tools.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

AWS Big Data

OCTOBER 4, 2023

Amazon EMR with Spot Instances allows you to reduce costs for running your big data workloads on AWS. Spot Instances are best suited for running stateless and fault-tolerant big data applications such as Apache Spark with Amazon EMR, which are resilient against Spot node interruptions.

Big Data 79

Big Data Optimization Data-driven Management 79

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. The EMR runtime provides up to 5.37

Optimization 69

Optimization Data Lake Cost-Benefit Management 69

AWS Big Data

SEPTEMBER 19, 2023

Chime is a financial technology company founded on the premise that basic banking services should be helpful, easy, and free. The design included the following key components: We have Amazon Kinesis Data Streams as our streaming data service to capture and store event streams at scale.

Analytics 77

Analytics Risk Big Data Machine Learning 77

AWS Big Data

OCTOBER 23, 2023

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. With this launch, Amazon Athena supports two open-source query engines: Apache Spark and Trino. Athena Spark allows you to build Apache Spark applications using a simplified notebook experience on the Athena console or through Athena APIs.

Data Lake 100

Data Lake Visualization Optimization Interactive 100

AWS Big Data

AUGUST 11, 2023

Services like Amazon EMR focus on offering you flexibility to support data processing workloads at scale using frameworks you’re accustomed to. Serverless services like AWS Glue minimize the need to think about servers and focus on offering additional productivity and DataOps tooling for accelerating data pipeline development.

Data Processing 95

Data Processing Cost-Benefit Optimization Interactive 95

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 82

Data Lake Big Data Consulting Data Warehouse 82

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. It finds frequent application among Spark developers working with Amazon EMR , Amazon SageMaker , AWS Glue and custom Spark applications. Submit an UNLOAD query via the Amazon Redshift Data API.

Data Processing 91

Data Processing Data Lake Data Warehouse Optimization 91

AWS Big Data

APRIL 3, 2024

Implementing these solutions requires data sharing between purpose-built data stores. This is why Snowflake and AWS are delivering enhanced support for Apache Iceberg to enable and facilitate data interoperability between data services.

Data Lake 93

Data Lake Snapshot Metadata Data Architecture 93

AWS Big Data

MAY 9, 2023

Hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue for Apache Spark jobs work with your code and configuration of the number of data processing units (DPU).

Data Lake 86

Data Lake Cost-Benefit Data Integration Data Transformation 86

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. Why did Orca choose Apache Iceberg?

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 108

Optimization Snapshot Data Lake Metadata 108

AWS Big Data

JANUARY 26, 2023

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. Select your job and on the Actions menu, choose Delete job(s).

Data Lake 109

Data Lake Big Data Software Interactive 109

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. If your data nerd leads a team of data nerds, big data projects, or aspires to one day, “Data Teams” is the book for them. ?? ???????. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

AUGUST 30, 2023

To improve a Spark application’s efficiency, it’s essential to monitor its performance and behavior. In this post, we demonstrate how to publish detailed Spark metrics from Amazon EMR to Amazon CloudWatch. Solution overview This solution includes Spark configuration to send metrics to a custom sink. A Spark job.

Metrics 92

Metrics Dashboards Publishing Optimization 92

IBM Big Data Hub

NOVEMBER 19, 2019

Cloud Pak for Data v2.5 provides Analytics Engine powered by Apache Spark service integrated in the platform to give a holistic experience to the users to run serverless spark jobs for spark version 2.3 and take advantage of access control, logging, monitoring and many other integrated services.

Big Data 70

Big Data Enterprise Technology Analytics 70

AWS Big Data

FEBRUARY 20, 2024

The contacted framework uses a custom authenticator that performs the authentication using the EMR Secret Agent service running inside the cluster instances. The EMR Secret Agent service validates the provided credentials against the LDAP endpoint. The contacted SSHD service uses the SSSD service to validate the provided credentials.

Testing 84

Testing Data Processing Interactive Management 84

Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. But with advancements in infrastructure such as cloud computing and multicore machines with large RAM, Apache Spark started to gain visibility by performing better than Apache Hive.

Metadata 78

Metadata Testing Data Lake Consulting 78

AWS Big Data

FEBRUARY 1, 2024

Amazon Athena only charges for the data size it scans and is used to explore and filter the data quickly, while being cost-effective. EMR Serverless provides a cost-efficient and no-maintenance option for Spark data processing, and is used to process the filtered data. Set up Athena to run interactive SQL.

Modeling 95

Modeling Metadata Data Processing Unstructured Data 95

AWS Big Data

JULY 19, 2023

Today, we are pleased to announce a new AWS Glue connector for Google Cloud Storage that allows you to move data bi-directionally between Google Cloud Storage and Amazon Simple Storage Service (Amazon S3). How the connector works This connector relies on the Spark DataSource API in AWS Glue and calls Hadoop’s FileSystem interface.

Big Data 81

Big Data Software Consulting Unstructured Data 81

AWS Big Data

MARCH 30, 2023

By promoting loose coupling between components of a system, an event-driven architecture leads to greater agility and can enable components in the system to scale independently and fail without impacting other services. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS.

Data-driven 71

Data-driven Metadata Testing Management 71

AWS Big Data

OCTOBER 27, 2023

In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making. AWS Glue , a serverless data integration and extract, transform, and load (ETL) service, has revolutionized this process, making it more accessible and efficient.

Analytics 94

Analytics Visualization Data Integration Cost-Benefit 94

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. and update-item.py.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100