Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Without context, streaming data is useless.” Convergence of batch and streaming made easy.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

AWS Big Data

AUGUST 6, 2024

In essence, it’s the foundation for user-centric data analysis in modern apps, because it’s the layer that translates technical assets into business-friendly terms that enable users to extract actionable insights from data. The scope of data analytics has grown, and more user personas are now seeking to extract insights themselves.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

AUGUST 22, 2023

Gain a high-level understanding of AWS Glue and its components by using the following hands-on workshop. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services. He is a big data enthusiast and holds 14 AWS Certifications.

Data Processing 94

Data Processing Testing Data Lake Data Integration 94

AWS Big Data

JUNE 6, 2023

In the following code, replace the EKS endpoint as well as the S3 bucket then run the script: /bin/spark-submit --class ValueZones --master k8s://EKS-ENDPOINT --conf spark.kubernetes.namespace=data-team-a --conf spark.kubernetes.container.image=608033475327.dkr.ecr.us-west-1.amazonaws.com/spark/emr-6.10.0:latest amazonaws.com/spark/emr-6.10.0:latest

Optimization 77

Optimization Data Lake Cost-Benefit Management 77

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they. Governance. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Specific Vendor Questions 5.

IT 52

IT Data Lake Data Science Strategy 52

AWS Big Data

NOVEMBER 6, 2024

Second, because traditional data warehousing approaches are unable to keep up with the volume, velocity, and variety of data, engineering teams are building data lakes and adopting open data formats such as Parquet and Apache Iceberg to store their data.

Metadata 108

Metadata Data Lake Management Internet of Things 108

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 76

Snapshot Optimization Data Lake Metadata 76