AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. Choose the workflow named ETL_Process. Run the workflow with default input.

Metadata 119

Metadata Visualization Data Lake Data-driven 119

AWS Big Data

APRIL 19, 2023

json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q", sample_data/us_current.csv s3://$s3_bucket_name/covid-19-testing-data/base/source_us_current/; Copy states_current.csv : aws s3 cp./sample_data/states_current.csv sample_oozie_job_name/step1/step1.json

Metadata 78

Metadata Testing Data Lake Consulting 78

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3. enableHiveSupport().getOrCreate()

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. We deploy Debezium MySQL source Kafka connector on Amazon MSK Connect.

Data Warehouse 96

Data Warehouse Snapshot Data Processing Management 96

Domino Data Lab

APRIL 3, 2019

Somehow, the gravity of the data has a geological effect that forms data lakes. Also, data science workflows begin to create feedback loops from the big data side of the illo above over to the DW side. DG emerges for the big data side of the world, e.g., the Alation launch in 2012.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

Once upon a time, circa 2012-ish, data science conferences were replete with talks about an industry hellbent on loading amazing enormous Big Data into some kind of data lake, and applying all kinds of odd astrophysics-ish approaches…for eventual PROFIT! Or something. Nothing Spreads Like Fear”. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Data lakes or data lake houses alone cannot solve the efficiency problem.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. As you mentioned, Qlik is in there.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42