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Why ingest when you can Onboard Data?

WRITTEN BY Amar Arsikere June 17, 2020
Big Data

Every data analytics project starts with the critical first step of creating and operationalizing healthy data lakes. A unified data lake is created by onboarding multiple data sources. Onboarding a data source is more than ingesting the data once.

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Infoworks for Databricks

WRITTEN BY Amar Arsikere February 24, 2020
AI and Machine Learning

Data onboarding is the critical first step in operationalizing your data lake. DataFoundry automates data ingestion as well as the key functionality that must accompany ingestion to establish a complete foundation for analytics.

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Big Data Trends: Our Predictions for 2020 PLUS What Happened in 2019

WRITTEN BY Ramesh Menon October 31, 2019
Big Data

In this article, we discuss the largest industry shifts in big data from 2019, and where we see big data trends going as we head into 2020.

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The Benefits and Core Capabilities of Enterprise Data Operations and Orchestration (EDO2)

WRITTEN BY Todd Goldman June 28, 2019
Data Operations

What are the benefits and the details of the capabilities of an EDO2 system?

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What is Enterprise Data Operations and Orchestration (EDO2)?

WRITTEN BY Todd Goldman June 18, 2019
Data Operations

EDO2 refers to the systems and processes that enable businesses to organize and manage data from disparate sources and process the data for delivery to analytic applications.

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The Top 5 Data Preparation Challenges to Get Big Data Pipelines to Run in Production

WRITTEN BY Ramesh Menon February 12, 2019
Data Engineering

After data is ingested into a data lake, data engineers need to transform this data in preparation for downstream use. Challenges in data preparation tend to be a broad collection of issues that add up over time to create significant ongoing maintenance and management issues.

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Data Analytics Use Cases: Traditional vs. Big Data

WRITTEN BY Amar Arsikere October 3, 2018
Big Data

In the not too a distant future, the business world will be split into two camps - companies which have an agile analytics capability and those companies that get eaten by the first group

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Migrate Netezza and Teradata Data Warehouses to a Modern Data Architecture

WRITTEN BY Ramesh Menon July 30, 2018
Data Lake

Unleash yourself from the Teradata and Netezza data warehouse ball and chain. Moving to a modern data architecture has never been easier.

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Automated Data Ingestion: It’s Like Data Lake & Data Warehouse Magic

WRITTEN BY Ramesh Menon May 30, 2018
Data Ingestion

There are many "gotchas" in populating a data lake. Read on to find out the magic behind automating away many of the most difficult challenges.

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