AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Search for the Jira Cloud connector.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 103

Data Lake Testing Snapshot Big Data 103

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 104

Data Analytics Analytics IoT Data Lake 104

AWS Big Data

JUNE 20, 2023

Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Mikhail specializes in data analytics services.

Data Lake 104

Data Lake Data Science Recreation/Entertainment Data-driven 104

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. 10GB/lineitem.tbl' iam_role default delimiter '|' region 'us-east-1'; copy orders from 's3://redshift-downloads/TPC-H/2.18/10GB/orders.tbl'

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. Downloading these files individually would be a tedious and time-consuming process for Amazon DataZone users.

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 119

CIO Business Intelligence

MARCH 2, 2023

A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture. Fast and accurate data extraction will speed up transactions and automation capabilities, and be the foundational technology within any business intelligence or data analytics platform, enabling better collaboration and B2B communications, he says.

Data Lake 143

Data Lake Forecasting B2B Optimization 143

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. For more information, refer to the Delete Object permissions section in Amazon S3 actions.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. You can download the code tutorial from GitHub to try this solution on sample data or your own data.

Data Lake 105

Data Lake Deep Learning Interactive Machine Learning 105

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products. YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 98

Data Lake Testing Interactive Unstructured Data 98

Cloudera

AUGUST 28, 2020

On the B2C side, this means faster download speeds, lower latency and that consumers can download ultra-high-definition video on the go. Typically, 5G has the potential to offer speeds of between 1-10 gigs per second which is approximately 20x to 30x faster than what 4G technology offers. .

IoT 110

IoT Machine Learning B2B Testing 110

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

DataKitchen

OCTOBER 11, 2021

Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Figure 2: Example data pipeline with DataOps automation.

Testing 154

Testing Metadata Dashboards Statistics 154

AWS Big Data

AUGUST 6, 2024

In essence, it’s the foundation for user-centric data analysis in modern apps, because it’s the layer that translates technical assets into business-friendly terms that enable users to extract actionable insights from data. The scope of data analytics has grown, and more user personas are now seeking to extract insights themselves.

OLAP 111

OLAP Analytics Visualization Dashboards 111

AWS Big Data

AUGUST 13, 2024

It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Introducing the SFTP connector for AWS Glue The SFTP connector for AWS Glue simplifies the process of connecting AWS Glue jobs to extract data from SFTP storage and to load data into SFTP storage.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data. table2 t2 ON t1.id

Data Lake 124

Data Lake Visualization Optimization Interactive 124

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3.

Data Lake 98

Data Lake Data Warehouse Sales Data-driven 98

AWS Big Data

JUNE 15, 2023

Amazon EMR Notebooks , a managed environment based on Jupyter and JupyterLab notebooks, enables you to interactively analyze and visualize data, collaborate with peers, and build applications using EMR clusters running Apache Spark. Select Medallion_Drivers_-_Active.csv and choose Download. Download the JAR and sample config files.

Big Data 105

Big Data Data Lake Management Testing 105

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). It also downloads sample data files to use in the next step.

Data Quality 90

Data Quality Data Lake Data Warehouse Data-driven 90

Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Without context, streaming data is useless.” First, visit our new Cloudera Stream Processing home page.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. You can download the dataset or recreate it locally using the Python script provided in the repository.

Data Quality 115

Data Quality Measurement Testing Visualization 115

AWS Big Data

JULY 8, 2024

Download the extract_glue_crawler_lineage.py If you’re using a different version of AWS Glue, you need to download the corresponding OpenLineage Spark plugin file that matches your AWS Glue version. The OpenLineage Spark plugin is not able to extract data lineage from AWS Glue Spark jobs that use AWS Glue DynamicFrames.

Visualization 119

Visualization Metadata Publishing Sales 119

AWS Big Data

NOVEMBER 15, 2023

Download the CSV file and view the transformed output. About the Author Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS. For Role name , choose the IAM role created as a prerequisite or create a new role. Choose Create and run job. Go to the Jobs tab and wait for the job to complete.

Metadata 115

Metadata Sales Data Lake Big Data 115

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 119

Unstructured Data Data Warehouse Structured Data Testing 119

AWS Big Data

MAY 23, 2024

We also show how to take action based on the data quality results. Solution overview Let’s consider an example data quality pipeline where a data engineer ingests data from a raw zone and loads it into a curated zone in a data lake. Upload sample data Download the dataset to your local machine.

Data Quality 121

Data Quality Metrics Sales Data Lake 121

Jet Global

OCTOBER 30, 2020

Introducing Data Lakes. Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

NOVEMBER 30, 2023

With AWS Glue, you can discover and connect to more than 100 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Download the TICKIT dataset and unzip it.

IT 116

IT Visualization Machine Learning Data Integration 116

AWS Big Data

AUGUST 27, 2024

runtime, complete the following steps to create the corresponding layer package for peycopog2 : Download psycopg2_binary-2.9.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl About the Authors Raj Patel is AWS Lead Consultant for Data Analytics solutions based out of India. cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Metrics 105

Metrics Dashboards Data Lake Optimization 105

AWS Big Data

MARCH 6, 2024

For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR. A copy of the latest code repository in the local machine using git clone or the download option. AWS Glue, and Athena.

Metrics 116

Metrics Statistics Testing Data Lake 116

AWS Big Data

AUGUST 1, 2024

We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. You can import this in Query Editor V2.0.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

JUNE 6, 2023

For Amazon EMR 6.10, you need to download the Spark 3.3 In the following code, replace the EKS endpoint as well as the S3 bucket then run the script: /bin/spark-submit --class ValueZones --master k8s://EKS-ENDPOINT --conf spark.kubernetes.namespace=data-team-a --conf spark.kubernetes.container.image=608033475327.dkr.ecr.us-west-1.amazonaws.com/spark/emr-6.10.0:latest

Optimization 97

Optimization Data Lake Cost-Benefit Management 97

Alation

FEBRUARY 13, 2020

There is plenty of market validation for the value of data catalogs. Gartner analysts Ehtisham Zaidi and Guido de Simoni recently wrote that data catalogs are a “ must-have for data analytics leaders.” Identifying the challenges that you want to solve is an important first step in the data cataloging adoption journey.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. For this post, we are creating the solution resources in the us-east-1 region using AWS CloudFormation templates.

Management 98

Management Metadata Internet of Things Testing 98

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

Jet Global

JANUARY 30, 2025

Trino, an open-source distributed SQL query engine , has emerged as a game-changer for high-speed analytics across diverse environments. Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability. Learn more about how Simba can help.

Data Lake 64

Data Lake Data-driven Optimization Enterprise 64

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52