AWS Big Data

NOVEMBER 28, 2023

Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses. Or they can build complex transformations and aggregations on the integrated data using Amazon Redshift materialized views.

Data Warehouse 95

Data Warehouse Data-driven Machine Learning B2B 95

AWS Big Data

JUNE 23, 2023

Each day, TBs of new data is added to the data lake, which is then transformed, aggregated, partitioned, and compressed. Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. The following code provides a SQL example for a view creation.

Data Lake 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting. Refer to Streaming ingestion considerations for details.

Data Warehouse 124

Data Warehouse Dashboards Risk Management Risk 124

IBM Big Data Hub

SEPTEMBER 29, 2023

Streams of events need to be processed—by applying operations like filtering, aggregating, transforming or joining with other streams of events — to define a time-sensitive scenario that the business needs to detect. View the webinar to learn more about unlocking the value of transaction data flowing across your organization.

Data-driven 111

Data-driven Uncertainty Cost-Benefit Marketing 111

Jen Stirrup

SEPTEMBER 30, 2021

Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals. The intelligence can be extrapolated from one situation to another and the system can learn over time. Machine Learning analyses a search space, but it is not human-inspired.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. To learn more details about their benefits, see Introduction to Spatial Indexes. To learn more, visit CARTO. This ensures robust data representation in all directions.

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AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 83

Forecasting Data Warehouse Machine Learning Modeling 83

CIO Business Intelligence

JULY 5, 2022

It uses data mining, data modeling, and machine learning to answer “why” something happened and predict what might happen in the future. Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

APRIL 29, 2024

The day concluded with sessions from Meta on Velox’s memory management by Xiaoxuan Meng and a glimpse into the new simple aggregation function interface that was presented by Wei He. Day 2 highlights The second day began with a keynote from Orri Erling, co-creator of Velox.

Management 70

Management Optimization Data Processing Metrics 70

Sisense

OCTOBER 15, 2020

As real-time analytics and machine learning stream processing are growing rapidly, they introduce a new set of technological and conceptual challenges. Operations like API calls, joins, and aggregations that used to run every few minutes/hours now need to run many times per second. Click here to find out more about Upsolver.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Aggregation We can use standard SQL functions to aggregate the data.

Visualization 75

Visualization Data Lake Interactive Data-driven 75

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. The analyzed and aggregated data stored in Amazon OpenSearch Service can again be moved to the data lake to run ML algorithms for downstream consumption from applications.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

Smart Data Collective

APRIL 14, 2021

It comes coded in LookML, an SQ-like language that requires learning to set up. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. This highly flexible and modern SQL editor comes bundled with an easy-to-use, attractive interface.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

AWS Big Data

APRIL 20, 2023

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). Amazon Redshift admins can easily identify the SQL generated from Spark-based applications. mode("overwrite").options(**redshiftWriteOptions).option("dbtable",

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

AWS Big Data

NOVEMBER 9, 2023

dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift. dbt’s SQL-based framework made it straightforward to learn and allowed the existing development team to scale up quickly. It’s raw, unprocessed data straight from the source.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. IMPALA-1270: Add distinct aggregation to semi joins. Results Drill Down.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

JUNE 6, 2023

Provide your values for the MySQL endpoint (located on the CloudFormation stack’s Outputs tab), database user name, and database user password: $ mysql --host= --user= password= Download the SQL file. To learn more, refer to Getting started with AWS Glue Data Quality for ETL Pipelines.

Data Quality 68

Data Quality Data Lake Visualization Data-driven 68

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. It aggregates the implementation results of the preceding phase, interprets them, and evaluates the success criteria described in the discovery phase.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

FineReport

MARCH 24, 2024

Additionally, familiarity with Hadoop and SQL variants like PostgreSQL is vital, as are statistical methodologies and data analysis techniques. C/C++, Java, JavaScript, Python, SQL, Swift, and TypeScript are among those worth considering. SQL manages and retrieves data from databases, handling larger datasets.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

APRIL 17, 2020

This article only scratches the surface of the ways materialized views of all kinds, from SQL server materialized views and Postgres materialized views to a wide array of other systems are changing analytics and data. Building your SQL server materialized view. To build a materialized view in SQL, start with this code.

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

Smarten

APRIL 10, 2020

These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language and the good news is that business users do not need to understand the complexities of any of these processes in order to use these tools.

Machine Learning 67

Machine Learning Testing Visualization Reporting 67

IBM Big Data Hub

OCTOBER 17, 2023

Joining, aggregating, filtering and transforming streams of events allows users to effectively paint a picture—describing patterns of events that make up a time-sensitive threat or opportunity. They are highly configurable, allowing you to define and detect scenarios unique to your business operations.

Data-driven 85

Data-driven Cost-Benefit Uncertainty Dashboards 85

AWS Big Data

JANUARY 27, 2023

The Post Call Analytics (PCA) solution uses AWS machine learning (ML) services like Amazon Transcribe and Amazon Comprehend to extract insights from contact center call audio recordings uploaded after the call, or from integration with our companion Live Call Analytics (LCA) solution. Graphs like “Who Talks More?”

Analytics 60

Analytics Reporting Dashboards Visualization 60

Alation

FEBRUARY 20, 2020

With an aggregate view of patterns in the decisions made by many analysts running queries against the same data, you could derive more depth into the intent behind the analysis and promote greater reproducibility, transparency and productivity with data. We decided to address these needs for SQL engines over Hadoop in Alation 4.0.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Smarten

JUNE 10, 2022

As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

NOVEMBER 3, 2023

In this spirit, IBM introduced IBM Event Automation with an intuitive, easy to use, no code format that enables users with little to no training in SQL, java, or python to leverage events, no matter their role. Imagine if you could have a continuous view of your events with the freedom to experiment on automations.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

Smarten

SEPTEMBER 15, 2019

Users can transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language. With the right Augmented Analytics solution, data preparation is presented with tools, guidance and machine learning.

Machine Learning 54

Machine Learning Data Science Reporting Analytics 54

AWS Big Data

MAY 18, 2023

Support for the pandas API Support for the pandas API allows users familiar with the popular Python library to start writing distributed extract, transform, and load (ETL) jobs without having to learn a new framework API. Pushdown filters Pushdown filters are used in more scenarios, such as aggregations or limits. Since AWS Glue 4.0,

Testing 78

Testing Data Lake Cost-Benefit Data Integration 78

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. Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Cloudera

FEBRUARY 16, 2021

You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Machine learning to train and serve machine learning and AI models. Cloudera Machine Learning . Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle.

Machine Learning 85

Machine Learning Data Lake Enterprise Data Warehouse 85

FineReport

OCTOBER 21, 2020

The following are a few of the key benefits: The Price is Right: It is free if you use Microsoft SQL Server. It Supports Multiple Databases: Users can connect it to many data sources such as Microsoft SQL, Oracle, and Excel without learning about the underlying relational database structures. Flexible data reporting design.

Reporting 52

Reporting Visualization Dashboards Interactive 52

Jet Global

NOVEMBER 5, 2020

You can extract data from relational databases, including Microsoft’s SQL Server using the SQL query language. In addition to reading data, however, you can also use the SQL language to insert, update, or delete records from a database. Let’s start with some background information. The Data Security Problem: How We Got Here.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Sisense

MARCH 4, 2019

Sisense Hunch™ Sisense Hunch™ is a new way of handling Big Data sets that uses AQP technology to construct Deep Neural Networks (DNNs) which are trained to learn the relationships between queries and their results in these huge datasets. Generating SQL Queries. The Training Process. Encoding Queries.

Big Data 68

Big Data Data Analytics Analytics IoT 68

AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. A Lambda function calculates H3 hexagons for parameters (latitude, longitude, resolution).

Visualization 93

Visualization Machine Learning Consulting Data Warehouse 93

Jet Global

SEPTEMBER 4, 2020

The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data Entities.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

JULY 21, 2022

Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. Complex aggregations. Learn more about Rill Data on their website, or take the Cloudera Data Platform for a test drive today. Database Pain : Apache Druid is powerful but complex to configure, operate, and scale. Cloudera Data Warehouse).

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

FineReport

MARCH 29, 2023

Qlik Sense only supports ODBC/OLEDB connection methods, while FineReport supports JDBC/JNDI/ODBC and other methods to connect to mainstream databases, including SQL Server, MySQL, Oracle, and DB2. In addition to regular reports, it also provides design modes for aggregate reports and dashboards.

Reporting 52

Reporting Visualization Dashboards Enterprise 52