Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. What is Apache Iceberg? 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture BI Machine Learning 88

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. And by being purely python based, Apache Airflow pipelines are accessible to a wide range of users, with a strong open source community.

Data Pipeline 110

Data Pipeline Management BI Business Intelligence 110

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. Resource isolation and centralized GUI-based job management.

Data Pipeline 101

Data Pipeline Data Engineering Data Engineer Engineering 101

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. a suitable technology to implement data lake architecture. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Cloudera

NOVEMBER 24, 2020

With the complexity of data growing across the enterprise and emerging approaches to machine learning and AI use cases, data scientists and machine learning engineers have needed more versatile and efficient ways of enabling data access, faster processing, and better, more customizable resource management across their machine learning projects.

Machine Learning 94

Machine Learning Data Science Python Algorithm 94

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What Kafka is used for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 2, 2018

The massively parallel processing engine born at Cloudera acquired the status of a top-level project within the Apache Foundation. The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others.

Hadoop 52

Hadoop Big Data Datasets Machine Learning 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data. What do the four V’s of Big Data denote?

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. The same key tenants powering DE in the public clouds are now available in the data center.

Data Engineering 109

Data Engineering Data Engineer Engineering Data Pipeline 109

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64