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.

Data Lake 110

Data Lake Big Data Software Interactive 110

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 83

Data Lake Big Data Consulting Data Warehouse 83

AWS Big Data

JANUARY 12, 2024

Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 102

Data Integration Data Lake Data Warehouse Software 102

In(tegrate) the Clouds

JUNE 23, 2016

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses.

Data Integration 49

Data Integration Data Lake Data Warehouse Data-driven 49

AWS Big Data

FEBRUARY 7, 2023

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. Apache Hudi supports ACID transactions and CRUD operations on a data lake. and save it.

Data Lake 73

Data Lake Testing Big Data Structured Data 73

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 94

Metrics Data Lake Cost-Benefit Dashboards 94

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 88

Metadata Data Lake Visualization Data Transformation 88

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But seriously, reporting?

Reporting 115

Reporting Analytics IT Data Lake 115

AWS Big Data

MARCH 29, 2024

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 104

Metrics Visualization Dashboards Interactive 104

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 94

Data Governance Unstructured Data Metadata Data Lake 94

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 96

Analytics IT Data Lake Visualization 96

AWS Big Data

NOVEMBER 10, 2023

The data sourcing problem To ensure the reliability of PySpark data pipelines, it’s essential to have consistent record-level data from both dimensional and fact tables stored in the Enterprise Data Warehouse (EDW). These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime.

Data Processing 92

Data Processing Data Lake Data Warehouse Optimization 92

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 92

Data Lake Data Warehouse Metadata Data Architecture 92

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. About the authors Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Testing 76

Testing Data Lake Cost-Benefit Data Integration 76

Data Virtualization

MARCH 27, 2019

With data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. However, with.

Data Lake 53

Data Lake Machine Learning IT Data Integration 53

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services. He is a big data enthusiast and holds 14 AWS Certifications.

Data Processing 87

Data Processing Testing Data Lake Data Integration 87

AWS Big Data

JUNE 28, 2023

Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Data analysts and data engineers can use familiar SQL commands to join data across several data sources for quick analysis, and store the results in Amazon S3 for subsequent use.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. option("header",True).schema(schema).load("s3://"+

Insurance 79

Insurance Data Lake Data-driven Management 79

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Big Data 82

Big Data Software Consulting Unstructured Data 82

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Prahalathan M is the Data Integration Architect at Vyaire Medical Inc.

Testing 72

Testing Data Integration Data Lake Enterprise 72

BizAcuity

MAY 16, 2022

To stay relevant in the market and to increase brand awareness, organizations use big data analytics and business intelligence to navigate their way after getting a full understanding of their ideal customers and their behavior before and during the buying journey. So, make sure you have a data strategy in place. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

David Menninger's Analyst Perspectives

JUNE 12, 2019

Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 246

Management Data Quality Data Integration Data Lake 246

AWS Big Data

JUNE 26, 2023

Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. Typically, companies ingest data from multiple sources into their data lake to derive valuable insights from the data. This will open the ML transforms page.

Insurance 80

Insurance Visualization Data Lake Metrics 80

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. This is especially helpful when handling massive amounts of big data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

JUNE 1, 2021

After all, we invented the whole idea of Big Data. So what’s our next big idea? Well, at Cloudera, we envision a world where everyone can quickly and easily access the data-powered information and insights they need – in just a few clicks. . Open source matters. And only Cloudera delivers on every dimension.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Data Virtualization

SEPTEMBER 16, 2020

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

Big Data 59

Big Data Internet of Things Analytics IT 59

In(tegrate) the Clouds

AUGUST 4, 2016

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space?

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance. Under Administration , choose Data catalog settings.

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. We deploy Debezium MySQL source Kafka connector on Amazon MSK Connect.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

AWS Big Data

FEBRUARY 13, 2024

Monitoring data pipelines in real time is critical for catching issues early and minimizing disruptions. AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue.

Metrics 97

Metrics Dashboards Visualization Key Performance Indicator 97

AWS Big Data

MARCH 20, 2023

In the first post of this series , we described how AWS Glue for Apache Spark works with Apache Hudi, Linux Foundation Delta Lake, and Apache Iceberg datasets tables using the native support of those data lake formats. Even without prior experience using Hudi, Delta Lake or Iceberg, you can easily achieve typical use cases.

Visualization 79

Visualization Data Lake Snapshot Big Data 79