AWS Big Data

JULY 28, 2023

You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake. Additionally, the template uses the us-east-1 Region and will not work in other Regions without modification.

Big Data 76

Big Data Data Architecture Data Lake Interactive 76

AWS Big Data

NOVEMBER 17, 2023

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift.

Snapshot 87

Snapshot Data Processing Testing Data Warehouse 87

IBM Big Data Hub

MARCH 27, 2024

Queries are executed up to 1000x faster than comparable SQL queries. Clusters can be setup, configured, run and monitor with just a view clicks so that users don’t get in touch with Kubernetes or other complex cloud technologies. Unlike all database systems, EclipseStore really stores the native Java object model 1:1 as it is.

Cost-Benefit 106

Cost-Benefit Data Processing Optimization Modeling 106

AWS Big Data

JUNE 23, 2023

Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, straightforward to use, and makes it simple for anyone with SQL skills to quickly analyze large-scale datasets in multiple Regions. Dedicated view A view will let you better control the data in your dataset.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

CIO Business Intelligence

JULY 5, 2022

The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit. According to the Harvard Business Analytics program, the top tools for business analytics professionals are: SQL: SQL is the lingua franca of data analysis.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. Materialized views Pre-computing the result set for repeat queries is a powerful mechanism for boosting performance.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

JUNE 15, 2021

MB of data per second , and with each click, swipe, view, purchase, and shipment, your business collects more information on its customers that you can use to help manage your business more efficiently and drive more revenue. It’s estimated that every human being creates at least 1.7 Let’s jump into four of them below: Image Source: Looker.

Data Warehouse 95

Data Warehouse Dashboards Optimization Metrics 95

AWS Big Data

APRIL 25, 2024

However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. Refer to Streaming ingestion considerations for details.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. In this post, we show how you can migrate your existing SQL-based ETL workload to AWS Glue using Spark SQL , which minimizes the refactoring effort.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

MARCH 18, 2024

With a unified query interface, you can avoid the complexity of managing multiple query tools and gain a holistic view of your data assets regardless of where the data assets reside. Athena costs To view Athena costs, choose the tag athena-mc-analytics:athena:workgroup and filter the tags values azure, gcp, and multi.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97

AWS Big Data

JANUARY 24, 2023

Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. Management systems – An application that provides a holistic view of the internal company resources and systems. The user is now able to view the results on the webpage.

Analytics 57

Analytics Data-driven Management Reporting 57

datapine

AUGUST 14, 2019

They might implement a MySQL report builder to relieve the IT department from carrying out SQL queries and, therefore, save enormous amounts of resources and create a cost-effective business environment. SQL Consoles. These tools for data science offer additional aspects in dealing with information.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataKitchen

NOVEMBER 18, 2022

With this information in a shared context, your analyst working on a data lake will know if the 15 datasets she is viewing are accurate, the most recent, or of the same date range. Finding trends and patterns can help your team optimize your data pipelines and predict and prevent future problems. Identifying Events and Actions.

Testing 130

Testing Statistics Measurement Metrics 130

Sisense

OCTOBER 15, 2020

Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage. Another goal that teams dealing with streaming data may have is managing and optimizing a file system on object storage.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

APRIL 25, 2024

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. The pipeline then starts running stored procedures and SQL commands on Redshift Serverless. scripts – Any SQL scripts used in the DAG. Choose Open Airflow UI to view the Airflow UI.

Metadata 94

Metadata Data Processing Management Testing 94

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. Deployments include new data sets, new schemas, new views, whatever is required.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

JUNE 26, 2023

HBase provides the data format suited for transactional needs, Phoenix supplies the SQL interface, and SOLr enables index based search capability. Use Cloudera’s obervability tool WXM (Workload Manager) to profile workloads (Hive, Impala, Yarn, and Spark) to discover optimization opportunities.

Testing 75

Testing Data Processing Visualization Data Science 75

AWS Big Data

MARCH 27, 2024

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. Analyze the data and then optimize as necessary. Complete the implementation tasks such as data ingestion and performance testing.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

CIO Business Intelligence

DECEMBER 6, 2023

The views reflected in this article are the views of the authors and do not necessarily reflect the views of the global EY organization or its member firms. Real-time monitoring and state management adapt to user demands, while data partitioning and API rate limiting optimize resource use.

Enterprise 119

Enterprise Strategy Modeling Interactive 119

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

FEBRUARY 16, 2024

Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data stored in Amazon S3. When analysis is complete, view the analysis to see reachability. Furthermore, they are adopting security models that require access to the data lake through their private networks. Choose Create and analyze path. Congratulations!

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

AWS Big Data

JANUARY 27, 2023

Sample dashboard overview The following screenshots illustrate the different components of our sample QuickSight dashboard: Summary tab – This view aggregates call statistics across data points such as average customer sentiments and average agent talk duration, along with detailed call records. Graphs like “Who Talks More?”

Analytics 59

Analytics Reporting Dashboards Visualization 59

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. The stress is also reflected by end users and SQL developers on how efficiently they are expected to serve the business. It is designed and optimized to help with the majority of stress elements outlined above. No need to be an SQL backend expert. No need to learn a new skill.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

FineReport

DECEMBER 13, 2021

Data Transparency – Users are free to view the uploaded data at any time. In the Templates need optimization , we can see that the calculation of certain report datasets takes too long. Templates need optimization -FineReport. No business data will be accessed. Company B has 3 report engineers with different skill levels.

Dashboards 52

Dashboards Optimization Reporting Cost-Benefit 52

Cloudera

APRIL 20, 2021

Stream Processing and Analytics , powered by Apache Flink with SQL Stream Builder , enables data analysts, developers, and data scientists with SQL expertise to easily create Continuous SQL for Streaming Analytics. How Cloudera DataFlow works with Cloudera Data Platform (CDP)?

Analytics 91

Analytics Unstructured Data IoT Visualization 91

DataKitchen

MARCH 16, 2023

By reducing wasted time through minimizing cycle time, organizations can optimize their resource allocation, ensuring that data analysts, data scientists, and other stakeholders can focus on high-impact projects and maximize their contributions to the organization’s success. A typical view is that my team is just slow to do their job.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

BizAcuity

NOVEMBER 22, 2022

Applications such as e-commerce, gaming, and the Internet of things (IoT) commonly require real-time views of what’s happening. With AWS Glue and Snowflake, customers get the added benefit of Snowflake’s query pushdown, which automatically pushes Spark workloads, translated to SQL, into Snowflake. Operational Analytics.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

IBM Big Data Hub

OCTOBER 17, 2023

For example, events that describe changes in demand can help make better business decisions on inventory optimization. IBM has created an intuitive, low code tool designed to empower less technical stakeholders to work with business events and make better decisions, without having to write code or be an expert in SQL.

Data-driven 88

Data-driven Cost-Benefit Uncertainty Dashboards 88

Cloudera

JULY 18, 2023

But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. Among other capabilities, Cloudera Observability empowers you with comprehensive features to troubleshoot and optimize Hive queries. How do I detect those laggard queries to spot the slowest-performing queries in the system?

Metrics 72

Metrics Optimization Dashboards Big Data 72

AWS Big Data

APRIL 20, 2023

Amazon Redshift admins can easily identify the SQL generated from Spark-based applications. In this post, we show how you can find out the SQL generated by the Apache Spark job. Amazon Redshift uses the UNLOAD SQL statement to store this temporary data on Amazon Simple Storage Service (Amazon S3). Choose Save and then Run.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Cloudera

JULY 21, 2022

Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. Highly optimized time series queries. That means no more “dashboard rot” trying to find the right view of the data for your use case. Database Pain : Apache Druid is powerful but complex to configure, operate, and scale. Top-N queries.

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82

AWS Big Data

SEPTEMBER 25, 2023

Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse. We also show how to assign user roles to WLM queues and how to use WLM query insights to optimize configuration.

Management 91

Management Data Warehouse Metrics Dashboards 91

IBM Big Data Hub

NOVEMBER 29, 2023

Complex event processing (CEP) enables teams to transform their raw business events into relevant and actionable insights, to gain a persistent, up-to-date view of their critical data and to quickly move data to where it is needed, in the structure it’s needed in. Promote sharing and reuse while maintaining control and governance.

Unstructured Data 97

Unstructured Data Data-driven ROI Machine Learning 97

FineReport

MAY 19, 2021

Issues are usually drawn from comparing different departments, business units, and processes to optimize inefficient processes. Procurement reports and analysis allow organizations to quickly obtain a comprehensive view of their procurement expenditures and activities. Only with simple SQL can you develop enterprise-level reports.

Dashboards 93

Dashboards Metrics Reporting Forecasting 93