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.

Data Lake 77

Data Lake Testing Interactive Unstructured Data 77

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

AWS Big Data

JUNE 8, 2023

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

Data Lake 80

Data Lake Dashboards Metrics Testing 80

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 123

Data Lake Testing Big Data Management 123

AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 84

Measurement Dashboards Data Warehouse Analytics 84

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I But there is more room to go.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

AWS Big Data

APRIL 26, 2023

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 122

Forecasting Manufacturing Data Lake Big Data 122

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). Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS.

Data Quality 64

Data Quality Data Lake Data Warehouse Data-driven 64

CIO Business Intelligence

MARCH 14, 2024

But the real benefit of advanced data analytics and automation tools is the dramatic reduction in business-critical system outages because IT is alerted before a blocking problem occurs. Flexible, automated IT also provides an added benefit in connecting technology and business.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

Cloudera

JANUARY 18, 2022

As a result of this innovative data solution, the company helped customers while keeping its default rate low. . The bank also used its data lake to feed a real-time dashboard that tracked employee health which led to better support for employees. As a result of the pandemic, everyone is doing more online.

Data Lake 92

Data Lake Digital Transformation Data-driven Dashboards 92

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 75

Data Analytics Analytics IoT Data Lake 75

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 78

Data Lake Data Warehouse Sales Data-driven 78

CIO Business Intelligence

JULY 12, 2023

We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster. We look at the data to find out where there’s a yield improvement based on interactions of our design with the manufacturing.” That information is now stored in a way that makes it useable to different tools. “We

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analytics Architect on Amazon Athena. He has been working on query optimizers for over a decade.

Optimization 115

Optimization Statistics Metadata Data Lake 115

AWS Big Data

AUGUST 22, 2023

AWS Glue integrates seamlessly with AWS services like Amazon S3, Amazon Relational Database Service (Amazon RDS), Amazon Redshift , Amazon DynamoDB , Amazon Kinesis Data Streams , and Amazon DocumentDB (with MongoDB compatibility) to offer a robust, cloud-native data integration solution.

Data Processing 88

Data Processing Testing Data Lake Data Integration 88

Cloudera

AUGUST 27, 2020

To do this Manulife’s in-house data team built an Enterprise Data Lake (EDL) — a robust, enterprise-wide, data backend supporting digital connection, report automation, and AI & advanced analytics development. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 97

Internet of Things Data Lake Uncertainty IoT 97

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Athena also updated its data connectors with optimizations that improve performance and reduce cost when querying federated data sources. Big Data Architect on Amazon Athena.

Big Data 81

Big Data Data Architecture Data Lake Interactive 81

AWS Big Data

APRIL 3, 2023

With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. Amazon Redshift RSQL is a native command-line client for interacting with Amazon Redshift clusters and databases.

Data Warehouse 99

Data Warehouse Testing Data Lake Data-driven 99

AWS Big Data

APRIL 19, 2023

To configure AWS CLI interaction with AWS, refer to Quick setup. He is passionate about big data and data analytics. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation. Amol Guldagad is a Data Analytics Consultant based in India.

Metadata 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 108

Data Warehouse Testing Data Quality Reporting 108

AWS Big Data

JUNE 6, 2023

After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table. Query the Data Catalog table using Athena Athena is an interactive query service that makes it easy to analyze data in Amazon S3 and the AWS Glue Data Catalog using standard SQL.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. Clear emails and start to prepare for next week.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

AWS Big Data

JUNE 6, 2023

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 amazonaws.com/spark/emr-6.10.0:latest

Optimization 71

Optimization Data Lake Cost-Benefit Management 71

AWS Big Data

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Apache Iceberg is an open table format for very large analytic datasets.

Data Lake 74

Data Lake Data Science Recreation/Entertainment Experimentation 74

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Configure an IAM role to interact with Amazon Q. His team works on distributed systems & new interfaces for data integration and efficiently managing data lakes on AWS.

Data Integration 106

Data Integration Data Lake Data Warehouse Software 106

Sisense

JUNE 12, 2019

Having the data preparation, model development, and application deployment covered, there’s still a data skill gap in the developers who will operate these systems. Data literacy and data skills, which created the forgotten dark data lakes in the first place, are still scarce. Building a Better Tomorrow.

Analytics 75

Analytics Data-driven Dashboards IoT 75

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 Explorer. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

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. We include a code tutorial for you to deploy the resources to run the solution on sample data or your own data.

Data Lake 86

Data Lake Deep Learning Modeling Interactive 86

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data. What Is Data Analytics?

Visualization 135

Visualization Key Performance Indicator Sales Data Lake 135

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

IBM Big Data Hub

OCTOBER 4, 2023

Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. from 2022 to 2026. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 84

Data Lake Metadata Cost-Benefit Data Warehouse 84

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

MARCH 10, 2022

Next up: AI and data lake decisions. To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone. But the work in support of the university’s research endeavors is rewarding. What humans can do is awesome.

IT 98

IT Data Lake Digital Transformation Data Governance 98