AWS Big Data

NOVEMBER 15, 2023

Connect with experts, meet with book authors on data warehousing and analytics (at the Meet the Authors event on November 29 and 30, 3:00 PM – 4:00 PM), win prizes, and learn all about the latest innovations from our AWS Analytics services. A shapeshifting guardian and protector of data like Data Lynx?

Data Lake 67

Data Lake Data Warehouse B2B Deep Learning 67

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

AWS Big Data

NOVEMBER 8, 2023

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. Reserve your seat now! Register now to secure your spot!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

AWS Big Data

NOVEMBER 20, 2023

About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. The end benefit for you is more effective and optimized AWS Glue for Apache Spark workloads. The metrics are available in all AWS Glue supported Regions. Check it out! He is responsible for building software artifacts to help customers.

Metrics 95

Metrics Data Lake Cost-Benefit Dashboards 95

AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 91

Data Warehouse Analytics Metrics Snapshot 91

AWS Big Data

MARCH 21, 2024

Amazon Relational Database Service (Amazon RDS) for MySQL zero-ETL integration with Amazon Redshift was announced in preview at AWS re:Invent 2023 for Amazon RDS for MySQL version 8.0.28 The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse.

Data Warehouse 86

Data Warehouse Metrics Statistics Optimization 86

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.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. You have to specify –-sql to specify your SQL commands.

Interactive 90

Interactive Metadata Data Warehouse Data-driven 90

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 91

Data Processing Data Lake Data Warehouse Optimization 91

AWS Big Data

MARCH 29, 2024

Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. Let’s drill down into details.

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Metrics Visualization Dashboards Interactive 104

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Take a snapshot of the source Redshift data warehouse.

Testing 64

Testing Data Warehouse Data Processing Snapshot 64

IBM Big Data Hub

OCTOBER 30, 2023

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 85

Insurance Data Warehouse Data-driven Unstructured Data 85

AWS Big Data

DECEMBER 12, 2023

Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. You can use your preferred SQL clients to analyze your data in an Amazon Redshift data warehouse. protocol. He is passionate about automating and solving customer problems with cloud solutions.

Data Warehouse 94

Data Warehouse Management Finance Analytics 94

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake 84

Data Lake Data Warehouse Marketing Management 84

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

IBM Big Data Hub

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. Join IBM and AWS experts at IBM TechXchange Conference 2023 , the premier learning event for developers, engineers, and IT practitioners.

Data-driven 114

Data-driven Insurance Digital Transformation Data Warehouse 114

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. The output will give a count of the number of data and metadata files deleted.

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Snapshot Data Lake Metadata Optimization 100

AWS Big Data

NOVEMBER 15, 2023

The dashboards, which offer a holistic view together with a variety of cost and BMW Group-related dimensions, were successfully launched in May 2023 and became accessible to users within the BMW Group. The difference lies in when and where data transformation takes place.

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

AWS Big Data

JUNE 6, 2023

However, these tools often require manual processes of data discovery and expertise in data engineering and coding. AWS Glue Data Quality is a new feature of AWS Glue that measures and monitors the data quality of Amazon Simple Storage Service (Amazon S3)-based data lakes, data warehouses, and other data repositories.

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Data Quality Data Lake Data-driven Metrics 72

AWS Big Data

MAY 24, 2023

Some of the important non-functional use cases for an S3 data lake that organizations are focusing on include storage cost optimizations, capabilities for disaster recovery and business continuity, cross-account and multi-Region access to the data lake, and handling increased Amazon S3 request rates.

Data Lake 81

Data Lake Snapshot Metadata Optimization 81

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. employee" where delete_flag=true and date_format(CAST(end_date AS date),'%Y/%m') ='2023/03' Note: Update the correct database name from the CloudFormation output before running the above query.

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Data Lake Testing Snapshot Sales 70

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

IBM Big Data Hub

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. Oracle will be releasing Oracle Database 23c on Power , as part of their next Long Term Release as reported in April 2023.

Strategy 98

Strategy Cost-Benefit Data-driven Digital Transformation 98

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 67

Analytics Data Warehouse Optimization Metrics 67

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

IBM Big Data Hub

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

Consulting 88

Consulting Cost-Benefit Technology ROI 88

CIO Business Intelligence

FEBRUARY 14, 2023

Lessons not learned from the past Organizations have over the past decade put a tremendous amount of energy and effort into becoming data driven but many still struggle to achieve the ROI from data that they’ve sought. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

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Data Strategy Strategy Machine Learning Data-driven 111

AWS Big Data

AUGUST 16, 2023

In our query, it corresponds to the time 2023-04-18 21:34:13.970. As shown in the following screenshot, the query result shows that the deleted record exists, and this can be used to reinsert data if required. He helps customers building modern data platforms through implementing Big Data & Analytics solutions.

Data Lake 69

Data Lake Metadata Testing Snapshot 69

AWS Big Data

MARCH 2, 2023

As of January 2023, the latest release is 6.9.0. createOrReplace() After you run the code, you should find two prefixes created in your data warehouse S3 path ( s3://iceberg-curated-blog-data/reviews.db/all_reviews all_reviews ): data and metadata. On the Amazon EMR console, choose Create cluster.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. As of January 2023, the median business intelligence salary is around $72,000, though depending on your employer that could range from $53,000 to $97,000.

Business Intelligence 141

Business Intelligence Dashboards Data mining OLAP 141

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Savings may vary depending on configurations, workloads and vendors.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

FEBRUARY 19, 2024

In 2023, the global data monetization market was valued at USD 3.5 A data monetization capability built on platform economics can reach its maximum potential when data is recognized as a product that is either built or powered by AI. billion, and experts project it to reach USD 14.4 from 2024 to 2032.

Cost-Benefit 70

Cost-Benefit Data-driven Optimization Marketing 70

IBM Big Data Hub

SEPTEMBER 27, 2023

The average cost of a data breach set a new record in 2023 of USD 4.45 You get near real-time visibility and insights from your ingested data. The burden is further exacerbated for the many organizations that struggle with overstretched cyberteams, manual processes, and a chronic cybersecurity skills gap.

Cost-Benefit 103

Cost-Benefit OLAP Dashboards Visualization 103