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. 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 66

Optimization Data Lake Cost-Benefit Reporting 66

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset. 1X 1 4 16 64 G.2X 2X 2 8 32 128 G.4X

Reporting 66

Reporting Metrics Optimization Data Lake 66

AWS Big Data

APRIL 27, 2023

With these features, you can now build data pipelines completely in standard SQL that are serverless, more simple to build, and able to operate at scale. Typically, data transformation processes are used to perform this operation, and a final consistent view is stored in an S3 bucket or folder. Upload 20220922-184314489.csv

Data Lake 70

Data Lake Snapshot Optimization Data Transformation 70

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse.

Dashboards 92

Dashboards Analytics Metadata Data Warehouse 92

AWS Big Data

APRIL 12, 2023

We have been continually improving the Spark performance in each Amazon EMR release to further shorten job runtime and optimize users’ spending on their Amazon EMR big data workloads. release in January 2022, the optimized Spark runtime was 3.5 times faster than our first release of 2022, Amazon EMR 6.5. As of the Amazon EMR 6.5

Testing 72

Testing Big Data Metadata Optimization 72

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 176

Testing Risk Data Processing Statistics 176

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 130

Testing Risk Data Processing Statistics 130

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 88

Data Lake Data Architecture Metadata Data Warehouse 88

Alation

AUGUST 11, 2022

He’s a true expert in the field, having worked at Oracle, Scient, BearingPoint, and Booz Allen Hamilton, and on data-focused projects with companies like LMVH, Major League Baseball, Toyota, American Express, Freddie Mac, and many, many others. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Octopai

NOVEMBER 23, 2020

As you may have heard, the existing London Interbank Offered Rate (LIBOR) will be retired on January 1st, 2022. Naturally, this will produce a massive growth in data management needs. In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. The post Biggest Trends in Data Visualization Taking Shape in 2022 appeared first on SmartData Collective.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 Let’s refer to this S3 bucket as the raw layer.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

Alation

JULY 18, 2022

Are your data users overwhelmed by silos and frustrated by untrusted data? That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. The Power of Partnership to Accelerate Data Transformation. Tell them to grab a catalog … and go jump in a lake.

ROI 52

ROI Metadata Data Lake Digital Transformation 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 100

Data Lake Management Metrics Data Warehouse 100

CIO Business Intelligence

JANUARY 24, 2024

Shi , and “Swarm Robotics” (2022) by H. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. Recent research in this field underscores the growing importance and potential of Agent Swarms. For instance, studies such as “Advances in Swarm” (2020) by Y.

IoT 118

IoT Machine Learning Optimization Internet of Things 118

AWS Big Data

APRIL 5, 2023

The company also used the opportunity to reimagine its data pipeline and architecture. A key architectural decision that Showpad took during this time was to create a portable data layer by decoupling the data transformation from visualization, ML, or ad hoc querying tools and centralizing its business logic.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 86

Data Lake Data Warehouse Data-driven B2B 86