Sisense

FEBRUARY 26, 2020

Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses. This is a key element of a digital transformation. This is a key element of a digital transformation.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Why Big Data Analysis Report? Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

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 105

Data Lake Management Metrics Data Warehouse 105

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Here we take a look at Microsoft Azure’s essential analytics services, what they are used for, and how they come together to make a comprehensive stack for your analytics strategy in the cloud.

Data Lake 105

Data Lake Analytics Data Warehouse Machine Learning 105

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. What can you do next?

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

AWS Big Data

DECEMBER 5, 2023

For files with known structures, a Redshift stored procedure is used, which takes the file location and table name as parameters and runs a COPY command to load the raw data into corresponding Redshift tables. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders.

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

Cloudera

JUNE 1, 2021

Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses they back. Our strategy. So what’s our next big idea?

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

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 90

Data Lake Analytics Snapshot Optimization 90

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 77

Data Governance Business Objectives Strategy Data Quality 77

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Know how to handle your data. Sirius can help.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . Winner of the Data Impact Awards 2021: Data Lifecycle Connection.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Alation

JANUARY 17, 2023

Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Smart Data Collective

APRIL 29, 2020

A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Solutions for the various data management processes need to be carefully considered. The techniques for managing organisational data in a standardised approach that minimises inefficiency.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

AWS Big Data

JANUARY 17, 2024

By preserving historical versions, data lake time travel provides benefits such as auditing and compliance, data recovery and rollback, reproducible analysis, and data exploration at different points in time. Another popular transaction data lake use case is incremental query. in all Regions where Amazon EMR is available.

Data Lake 96

Data Lake Snapshot Big Data Data-driven 96

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Data Transformation 98

Data Transformation Management Risk Management Risk 98

AWS Big Data

APRIL 25, 2024

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. Given this scenario, it would be a good idea to partition the data by report_type and bucket it by station_id. On his days off, he can be a rock drummer or a motorcyclist.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

APRIL 2, 2024

With these settings, you can now seamlessly ingest decompressed CloudWatch log data into Splunk using Firehose. Phaneendra Vuliyaragoli is a Product Management Lead for Amazon Data Firehose at AWS. In this role, Phaneendra leads the product and go-to-market strategy for Amazon Data Firehose.

Metadata 88

Metadata Marketing Analytics Data Transformation 88

TDAN

MARCH 16, 2021

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

Data Transformation 98

Data Transformation Risk Management Risk Data Strategy 98

AWS Big Data

APRIL 19, 2023

Conclusion Data-driven organizations are transitioning to a data product way of thinking. Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML.

Technology 85

Technology Data-driven Machine Learning Sales 85

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

Data Quality 77

Data Quality Metrics Data-driven Visualization 77

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Hospitals, payors, brokers, underwriters, and other healthcare stakeholders can use this architecture to analyze and draw insights from pricing data published by hospitals of their choice.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

AWS Big Data

APRIL 11, 2023

ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second. In the inventory management and forecasting solution, AWS Glue is recommended for data transformation.

Forecasting 78

Forecasting Management IoT Data-driven 78

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Cost-Benefit 77

Cost-Benefit Metadata Optimization Management 77

AWS Big Data

MARCH 3, 2023

During the Build Lab, the customer will construct a prototype in their environment, using their data, with guidance on real-world architectural patterns and anti-patterns, as well as strategies for building effective solutions, from AWS service experts. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. This method uses GZIP compression to optimize storage consumption and query performance. For Firehose stream name , enter a name (for this post, ProcessDevicePositionFirehose ).

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

APRIL 25, 2023

Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations.

Sales 74

Sales Visualization Software Marketing 74

AWS Big Data

JULY 31, 2023

This concludes creating data sources on the AWS Glue job canvas. Next, we add transformations by combining data from these different tables. Transform the data Complete the following steps to add data transformations: On the AWS Glue job canvas, choose the plus sign.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery.

Dashboards 64

Dashboards Testing Metrics Optimization 64

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 86

Data Lake Dashboards Metrics Metadata 86

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The company also used the opportunity to reimagine its data pipeline and architecture.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

FEBRUARY 8, 2023

This approach doesn’t solve for data quality issues in source systems, and doesn’t remove the need to have a wholistic data quality strategy. For addressing data quality challenges in Amazon Simple Storage Service (Amazon S3) data lakes and data pipelines, AWS has announced AWS Glue Data Quality (preview).

Data Quality 79

Data Quality Testing Data Warehouse Unstructured Data 79

IBM Big Data Hub

JULY 17, 2023

Real-time analytics and BI: Combine data from existing sources with new data to unlock new, faster insights without the cost and complexity of duplicating and moving data across different environments.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

Jet Global

MAY 1, 2023

Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. This strategy will ultimately increase sales, and prove a competitive advantage. Ideally, your primary data source should belong in this group. Revenue growth can take a variety of forms. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52