AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Scott Logic

NOVEMBER 6, 2023

I’d argue (not very controversially) that this siloed, hand-it-off approach isn’t great and we need to treat data requirements like any other as a first class citizen that everyone is involved in. We may also note a difference between data that communicates changes to state like a user’s address vs event data (e.g.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52

ProjectPro

DECEMBER 7, 2016

HBase- what is the difference between Hive and HBase, let’s try to understand what hive and HBase do and when and how to use Hive and HBase together to build fault-tolerant big data applications. Explore SQL Database Projects to Add them to Your Data Engineer Resume. For real-time querying of data.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

APRIL 26, 2016

Command Line Interface (cli) Hive Web Interface (hwi) HiveServer (hiveserver) Printing the contents of an RC file using the tool rcfilecat. Hcatalog can be used to share data structures with external systems. Alter Table Student RENAME to Student_New **question** 7) Where is table data stored in Apache Hive by default?

Hadoop 40

Hadoop Metadata SQL Database 40

phData: Data Engineering

JANUARY 3, 2022

In this post, we will explore the complexities involved with software engineering with a focus on data engineering and data operations (DataOps). We’ll work through the different facets of taking your data and extracting business value with the same rigor and process companies apply to product development.

IT 52

IT AWS Software Engineer Software Engineering 52

Cloudera

FEBRUARY 22, 2022

The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets. Key Design Goals .

Metadata 103

Metadata Datasets BI SQL 103

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. 2: Open formats. What is Apache Iceberg?

Metadata 88

Metadata Data Architecture BI Machine Learning 88

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. Best suited for OLTP and complex ACID transactions.

Hadoop 40

Hadoop Big Data Metadata Java 40

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 78

Data Warehouse Metadata Java Data 78