Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

AWS Big Data

OCTOBER 30, 2024

This new JDBC connectivity feature enables our governed data to flow seamlessly into these tools, supporting productivity across our teams.” Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability.

Analytics 105

Analytics Visualization Data Governance Data-driven 105

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. You can add more such query optimization rules to the instructions.

Metadata 91

Metadata Data Lake Modeling Data Warehouse 91

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g.,

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Data Science 127

Data Science Machine Learning Predictive Modeling Forecasting 127

AWS Big Data

NOVEMBER 22, 2024

Maintaining reusable database sessions to help optimize the use of database connections, preventing the API server from exhausting the available connections and improving overall system scalability.

Data Warehouse 94

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 94

AWS Big Data

APRIL 25, 2024

Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making. However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis.

Optimization 72

Optimization Data Lake Cost-Benefit Reporting 72

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. Configure GoldenGate for Oracle Database and extract data from the Oracle database to trail files.

Analytics 101

Analytics Big Data Software Data Integration 101

AWS Big Data

APRIL 12, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. As of the Amazon EMR 6.5 Amazon EMR 6.10

Testing 87

Testing Big Data Metadata Optimization 87

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X With exponentially growing data sources and data lakes, customers want to run more data integration workloads, including their most demanding transforms, aggregations, joins, and queries. 1X (1 DPU) and G.2X DPU-hour ($) G.2X

Data Lake 103

Data Lake Cost-Benefit Data Integration Data Transformation 103

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Analytics 108

Analytics Dashboards Metadata Data Warehouse 108

AWS Big Data

OCTOBER 12, 2023

With EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks. You can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. Now, with the support for “Run a Job (.sync)”

Big Data 119

Big Data Data-driven Management Visualization 119

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. This ensures that the data is suitable for training purposes.

Data Lake 95

Data Lake Analytics Snapshot Data Quality 95

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 101

Data Warehouse KPI Optimization Cost-Benefit 101

AWS Big Data

AUGUST 19, 2024

In this post, we explore how AWS Glue can serve as the data integration service to bring the data from Snowflake for your data integration strategy, enabling you to harness the power of your data ecosystem and drive meaningful outcomes across various use cases. Store the extracted and transformed data in Amazon S3.

Analytics 109

Analytics Data-driven Data Integration Data Lake 109

Sisense

MAY 11, 2021

With our strategy in mind, we factored in our consumers and consuming services, which primarily are Sisense Fusion Analytics and Cloud Data Teams. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory. Azure Data Explorer.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. For optimizing EMR cluster cost effectiveness, the following table provides general guidelines of choosing the proper type of EMR cluster and Amazon Elastic Compute Cloud (Amazon EC2) family.

Dashboards 85

Dashboards Optimization Data Lake Cost-Benefit 85

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

CIO Business Intelligence

DECEMBER 6, 2023

Notably, a partner with global reach can be particularly valuable to an organisation with operations with a global presence; since the structure of most multinational organisations is optimised to support their core business rather than initiatives like digital transformation.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Manufacturing 116

AWS Big Data

SEPTEMBER 19, 2023

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. With data democratization, many users lacked the knowledge to right-size their AWS Glue jobs.

Analytics 93

Analytics Risk Big Data Machine Learning 93

AWS Big Data

DECEMBER 4, 2024

Within the ANZ enterprise data mesh strategy, aligning data mesh nodes with the ANZ Group’s divisional structure provides optimal alignment between data mesh principles and organizational structure, as shown in the following diagram.

Metadata 95

Metadata Data Governance Data Quality Data-driven 95

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 105

Data Lake Data Warehouse Data-driven B2B 105

AWS Big Data

MAY 3, 2023

In this post, we provide a detailed overview of streaming messages with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon ElastiCache for Redis , covering technical aspects and design considerations that are essential for achieving optimal results. We also discuss the key features, considerations, and design of the solution.

IoT 111

IoT Internet of Things Data Transformation Management 111

AWS Big Data

SEPTEMBER 5, 2024

With auto-copy, automation enhances the COPY command by adding jobs for automatic ingestion of data. If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported.

IoT 108

IoT Data Warehouse Cost-Benefit Reporting 108

Cloudera

OCTOBER 14, 2020

Natively support Big Data workloads. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. YuniKorn is optimized for performance, it is suitable for high throughput and large scale environments. Scale & Performance. Acknowledgments.

Machine Learning 118

Machine Learning Management Big Data Optimization 118

AWS Big Data

AUGUST 13, 2024

We will create a glue studio job, add events and venue data from the SFTP server, carry out data transformations and load transformed data to s3. Big Data and ETL Solutions Architect, MWAA and AWS Glue ETL expert. Select Visual ETL in the central pane. Kamen Sharlandjiev is a Sr.

Data Processing 101

Data Processing Visualization Data Lake Data Processing 101

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 25, 2024

If you want deeper control over your infrastructure for cost and latency optimization, you can choose OpenSearch Service’s managed clusters deployment option. With managed clusters, you get granular control over the instances you would like to use, indexing and data-sharding strategy, and more.

Cost-Benefit 119

Cost-Benefit Machine Learning Dashboards Management 119

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 118

Data Lake Management Metrics Data Warehouse 118

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Solution overview In today’s highly competitive business landscape, it’s essential for retailers to optimize their inventory management processes to maximize profitability and improve customer satisfaction.

Forecasting 85

Forecasting Management IoT Data-driven 85

AWS Big Data

AUGUST 9, 2024

After the read query validation stage was complete and we were satisfied with the performance, we reconnected our orchestrator so that the data transformation queries could be run in the new cluster. At this point, only one-time queries and those made by Amazon QuickSight reached the new cluster.

Data Lake 108

Data Lake Analytics Data Warehouse Data-driven 108

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 100

Dashboards Testing Data-driven Visualization 100

erwin

MARCH 26, 2020

There are three technological advances driving this data consumption and, in turn, the ability for employees to leverage this data to deliver business value 1) exploding data production 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning (ML) and artificial intelligence (AI).

Data-driven 90

Data-driven Unstructured Data Enterprise Machine Learning 90

AWS Big Data

JANUARY 30, 2025

Pattern 1: Data transformation, load, and unload Several of our data pipelines included significant data transformation steps, which were primarily performed through SQL statements executed by Amazon Redshift. The following Diagram 2 shows this workflow.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

AWS Big Data

JANUARY 17, 2024

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. By identifying these changes, the query engine can optimize the query to process only the relevant data, significantly reducing the processing time and resource requirements.

Data Lake 109

Data Lake Snapshot Big Data Data-driven 109

Cloudera

NOVEMBER 22, 2021

In addition, more data is becoming available for processing / enrichment of existing and new use cases e.g., recently we have experienced a rapid growth in data collection at the edge and an increase in availability of frameworks for processing that data. As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94