ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Learning SQL can help data engineers work more effectively with data analysts and data scientists as they share a common language for querying and analysing data. SQL in Big Data SQL is not just limited to data warehousing and traditional relational database management systems (RDBMS).

Data Engineering 45

Data Engineering Data Engineer SQL Engineering 45

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

MAY 14, 2024

It enhances performance specifically for large-scale data processing tasks, offering advanced optimizations for superior data compression and fast data scans, essential in data warehousing and analytics applications.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

ProjectPro

MARCH 1, 2017

Two Tech giants, Hortonworks and IBM have partnered to enable IBM clients run hadoop analytics directly on IBM storage without requiring a separate analytic storage.IBM’s enterprise storage will be paired with Hortonworks analytics application so that clients can opt for either centralized or distributed deployments.

Hadoop 40

Hadoop Food Data Lake Banking 40

ProjectPro

SEPTEMBER 9, 2016

HCL employs a simple and intuitive assessment to identify the big data maturity of the customer and suggest appropriate course of action to leverage maximum potential of big data.

Hadoop 40

Hadoop Data Lake Cloud Computing Kafka 40

Knowledge Hut

JUNE 30, 2023

Data engineers are experts who specialize in the design and execution of data systems and infrastructure. They have unique skills, including competence in software engineering, data management, and analytics. Investigate alternative data storage solutions, such as databases and data lakes.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. You can speed up Snowpipe data ingestion by writing smaller files to your data lake.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Data Lake 40

ProjectPro

JUNE 6, 2025

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. It works with AWS analytics services as well as Amazon S3 data lakes.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

FEBRUARY 16, 2023

Learning SQL can help data engineers work more effectively with data analysts and data scientists as they share a common language for querying and analysing data. SQL in Big Data SQL is not just limited to data warehousing and traditional relational database management systems (RDBMS).

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. It works with AWS analytics services as well as Amazon S3 data lakes.

Big Data 52

Big Data Hadoop Relational Database AWS 52